diff --git a/.env.example b/.env.example index 8e69fd6..af12a91 100644 --- a/.env.example +++ b/.env.example @@ -4,4 +4,5 @@ GOOGLE_GEMINI_API_KEY= OPENAI_API_KEY= PARALLEL_API_KEY= SERP_API_KEY= +PERPLEXITY_API_KEY= TAVILY_API_KEY= \ No newline at end of file diff --git a/README.md b/README.md index 1dce606..3011ee7 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ This repository contains evaluation framework for AI-first web search APIs. Each The framework supports multiple search providers (You.com, Exa, Tavily, Parallel) and a representative Google SERP–based sampler. For each query, search results are fetched from the search API, synthesized into an answer -using an LLM, then graded against the ground truth.[^1] +using an LLM, then graded against the ground truth.[^1] It also includes a dedicated [finance evaluation](#finance-evaluation) suite for benchmarking financial data retrieval. To learn more about our evals methodology and system architecture, please read You.com's research articles: @@ -58,6 +58,7 @@ the API request is used. | FRAMES | Deep research and multi-hop reasoning ([paper](https://arxiv.org/abs/2409.12941), [dataset](https://huggingface.co/datasets/google/frames-benchmark)) | `--datasets frames` | | DeepSearchQA | Challenging multi-step information seeking tasks. Only recommended for use with research endpoints ([paper](https://storage.googleapis.com/deepmind-media/DeepSearchQA/DeepSearchQA_benchmark_paper.pdf), [dataset](https://huggingface.co/datasets/google/deepsearchqa)) | `--datasets deepsearchqa` | | BrowseComp | A simple and challenging benchmark that measures the ability of AI agents to locate hard-to-find information. Only recommended for use with research endpoints ([paper](https://arxiv.org/abs/2504.12516), [dataset](https://openaipublic.blob.core.windows.net/simple-evals/browse_comp_test_set.csv)) | `--datasets browsecomp` | +| FinSearchComp T2 & T3 | Public-company financial lookup benchmarks from filings ([paper](https://arxiv.org/pdf/2509.13160)). T2 covers simple historical lookups; T3 covers complex historical investigations. Grading follows the paper's judge prompt; numbers in different formats (e.g. `12.45%` vs `0.1245`) are treated as equivalent. | `--datasets fin_search_comp_t2_global fin_search_comp_t3_global` | ## Installation @@ -88,7 +89,8 @@ Edit `.env` and set the keys for your chosen providers. To run evaluations for a | Exa | `EXA_API_KEY` | | Google | `SERP_API_KEY` | | Parallel | `PARALLEL_API_KEY` | -| Tavily (basic / advanced) | `TAVILY_API_KEY` | +| Perplexity | `PERPLEXITY_API_KEY` | +| Tavily | `TAVILY_API_KEY` | | You.com | `YOU_API_KEY` | Grading uses OpenAI models by default, but Gemini models are also supported. Set `OPENAI_API_KEY` or @@ -143,6 +145,57 @@ or Gemini model and route your request appropriately. | Max concurrent tasks | `--max-concurrent-tasks 10` | Concurrency limit (default: 10). | | Clean | `--clean` | Remove existing results and run from scratch. (default False) | +## Finance evaluation + +To learn more about You.com's Finance Research API, read our [blog post](https://you.com/resources/introducing-the-finance-research-api-agentic-research-no-infra-required). + +The `fin_search_comp_t2_global` dataset evaluates simple historical lookup of public-company financials (e.g. *"What were Uber's research and development expenses for the full year 2019?"*). Ground truth comes from SEC filings and grading follows the prompt from the FinSearchComp paper[^3], which treats numerically equivalent answers (`12.45%` vs `0.1245`, `120,400,000` vs `120.4 million`) as the same and ignores unit-only differences. The grader model is configurable independently of the default `GRADER_MODEL` via `FIN_SEARCH_GRADER_MODEL` in `src/evals/constants.py`. + +### Samplers evaluated against this benchmark + +| Sampler | Provider | +|-------------------------------------------|------------| +| `you_finance_research_deep` | You.com | +| `you_finance_research_exhaustive` | You.com | +| `perplexity_finance_historical_lookup` | Perplexity | +| `perplexity_finance_multi_step_research` | Perplexity | +| `perplexity_sonar_deep_research_high` | Perplexity | +| `exa_research_pro` | Exa | +| `tavily_research_pro` | Tavily | +| `parallel_pro` | Parallel | +| `parallel_ultra` | Parallel | + +### Running the benchmark + +```bash +# Quick sanity check on a single sampler +python src/evals/eval_runner.py \ + --samplers you_finance_research_deep \ + --datasets fin_search_comp_t2_global \ + --limit 10 + +# Full sweep across all finance-capable samplers +python src/evals/eval_runner.py \ + --samplers you_finance_research_deep you_finance_research_exhaustive tavily_research_pro \ + --datasets fin_search_comp_t2_global +``` + +### Results + +**FinSearchComp T2 — Simple historical lookup (global)** + +| sampler | accuracy | p50_latency_ms* | +|------------------------------------------|------------|-----------------| +| you_finance_research_deep | **87.29%** | 124.0 | +| parallel_ultra | 73.11% | 861.3 | +| perplexity_finance_historical_lookup | 72.27% | 32.2 | +| perplexity_sonar_deep_research_high | 53.78% | 92.6 | +| exa_research_pro | 42.02% | 366.8 | +| tavily_research_pro | 40.34% | 104.5 | +| parallel_pro | 34.45% | 317.0 | + +* Internal latency as reported by the provider is used when available. When unavailable, the total time taken to complete the API request is used. + ## Output Results are written to `src/evals/results/` with the following structure: @@ -179,3 +232,4 @@ This repository is made available under the [MIT License](LICENSE). [^1]: Search results are fetched from each search API, then synthesized into a single answer using an LLM; the answer is graded by an LLM judge. Synthesis uses GPT 5.4 nano and grading uses GPT 5.4 mini (configurable in `src/evals/constants.py`). [^2]: Grading uses prompts aligned with the standard benchmarks as specified in the original papers or repositories (e.g. [SimpleQA](https://openai.com/index/introducing-simpleqa/) and [FRAMES](https://arxiv.org/abs/2409.12941). +[^3]: FinSearchComp grading uses the judge prompt from the [FinSearchComp paper](https://arxiv.org/pdf/2509.13160). diff --git a/data/fin_search_comp_t2_global.csv b/data/fin_search_comp_t2_global.csv new file mode 100644 index 0000000..871b79a --- /dev/null +++ b/data/fin_search_comp_t2_global.csv @@ -0,0 +1,121 @@ +comments,created,answer,id,problem,input,metadata,root_span_id,tags +,2026-05-08T05:32:16.787Z,"$4,836 million, rounding errors are allowed.",f28ea8c2-7652-41ec-8a68-1fa495d96009,"What were the research and development expenses of Uber for the full year 2019?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",f28ea8c2-7652-41ec-8a68-1fa495d96009,, +,2026-05-08T05:32:16.788Z,"$4,626 million, rounding errors are allowed.",7995dbea-c307-4848-9de6-407b1e3956ec,"What were the marketing expenses of Uber for the full year 2019?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",7995dbea-c307-4848-9de6-407b1e3956ec,, +,2026-05-08T05:32:16.789Z,"$22,743 million, rounding errors are allowed.",19f84acd-b557-4bdf-a739-d8b75002c9f4,"What were the total costs and expenses of Uber for the full year 2019?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",19f84acd-b557-4bdf-a739-d8b75002c9f4,, +,2026-05-08T05:32:16.790Z,"$3,511 million, rounding errors are allowed.",93a6f731-1f89-4954-a60f-bc77fb8fc9c9,"What were the prepaid expenses of Walmart in the 2018 fiscal year?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",93a6f731-1f89-4954-a60f-bc77fb8fc9c9,, +,2026-05-08T05:32:16.791Z,"$43,783 million, rounding errors are allowed.",3d262cbd-0a5a-4106-ac95-7bfe33de34ce,"What were the inventories of Walmart in the 2018 fiscal year?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",3d262cbd-0a5a-4106-ac95-7bfe33de34ce,, +,2026-05-08T05:32:16.792Z,"$373,396 million, rounding errors are allowed.",b06da1db-0827-4941-8499-c1f21917b95c,"What was the cost of sales of Walmart in the 2018 fiscal year?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",b06da1db-0827-4941-8499-c1f21917b95c,, +,2026-05-08T05:32:16.793Z,"$1,896.8 million, rounding errors are allowed.",41da0c0e-d0e3-4c9f-868c-9ab688607b8b,"What were the total liabilities of GameStop as of January 29, 2022?(answer in Millions of dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",41da0c0e-d0e3-4c9f-868c-9ab688607b8b,, +,2026-05-08T05:32:16.794Z,"$163.6 million, rounding errors are allowed.",60978629-c1d8-45bb-97ba-0c4caf8bcd25,"What was the property and equipment, net of GameStop as of January 29, 2022?(answer in Millions of dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",60978629-c1d8-45bb-97ba-0c4caf8bcd25,, +,2026-05-08T05:32:16.795Z,"$2,598.8 million, rounding errors are allowed.",c53f3863-6d78-464f-95f0-e31ca9b54c27,"What were the current assets of GameStop as of January 29, 2022?(answer in Millions of dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",c53f3863-6d78-464f-95f0-e31ca9b54c27,, +,2026-05-08T05:32:16.796Z,"$93,353millions, rounding errors are allowed.",e6a519e8-5d5b-47b9-98e9-f2e2c980cea3,"How much cash was used in financing activities by Apple in the 2021 fiscal year?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",e6a519e8-5d5b-47b9-98e9-f2e2c980cea3,, +,2026-05-08T05:32:16.797Z,"$-14,545 million or $14,545 million, rounding errors are allowed.",ec14d1ee-d180-4fd4-ae16-dbddf55f5adf,"How much cash was used in investing activities by Apple in the 2021 fiscal year?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",ec14d1ee-d180-4fd4-ae16-dbddf55f5adf,, +,2026-05-08T05:32:16.798Z,"$104,038 million, rounding errors are allowed.",fa38d4e4-9225-4bba-be16-1f6b135fd2bd,"How much cash was generated from operating activities by Apple in the 2021 fiscal year?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",fa38d4e4-9225-4bba-be16-1f6b135fd2bd,, +,2026-05-08T05:32:16.799Z,"$106,148 thousands, rounding errors are allowed.",3120b962-5b26-4793-aa68-bfa6a7295a0f,"What was the accounts receivable (net) of AMC Entertainment in the fiscal year of 2013?(answer in thousand of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",3120b962-5b26-4793-aa68-bfa6a7295a0f,, +,2026-05-08T05:32:16.800Z,"$4.76 dollars, rounding errors are allowed.",ddb85f58-6ced-49ea-a8af-e7e1cccb7608,"What was the diluted earnings per share of AMC Entertainment in the fiscal year of 2013?(answer in dollars, rounded to two decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",ddb85f58-6ced-49ea-a8af-e7e1cccb7608,, +,2026-05-08T05:32:16.801Z,"$35,058 millions, rounding errors are allowed.",b96f1c91-2d8a-4bbc-8413-eaef7750bb9a,"What was the operating income of Microsoft in the fiscal year of 2018?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",b96f1c91-2d8a-4bbc-8413-eaef7750bb9a,, +,2026-05-08T05:32:16.802Z,"$82,718 million, rounding errors are allowed.",074f45aa-b6a4-430a-aa8b-0c5c6d6a71dd,"What was the shareholder equity of Microsoft as of June 30, 2018?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",074f45aa-b6a4-430a-aa8b-0c5c6d6a71dd,, +,2026-05-08T05:32:16.803Z,"$15,909.5 million , rounding errors are allowed.",dfc606db-30e8-4df4-bed4-938a8e80eba1,"As of September 27, 2020, what was the amount of long-term debt (including the current portion) of Starbucks?(answer in Millions of dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",dfc606db-30e8-4df4-bed4-938a8e80eba1,, +,2026-05-08T05:32:16.804Z,"$29374.5 million, rounding errors are allowed.",ed02833f-cc72-4163-8d70-940062ceb1d2,"What was the total assets of Starbucks as of September 27, 2020?(answer in Millions of dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",ed02833f-cc72-4163-8d70-940062ceb1d2,, +,2026-05-08T05:32:16.805Z,"$19079 millions, rounding errors are allowed.",77510603-c86b-4cde-9a08-1549219222b1,"As of the end of the fiscal year 2019, what was the amount of cash and cash equivalents on Facebook's books?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",77510603-c86b-4cde-9a08-1549219222b1,, +,2026-05-08T05:32:16.806Z,"$70697 million , rounding errors are allowed.",cd8e5f16-1c81-411e-9b7a-03650c821481,"What was the total annual revenue of Facebook as of December 31, 2019?(answer in Millions of dollars, rounded to nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",cd8e5f16-1c81-411e-9b7a-03650c821481,, +,2026-05-08T05:32:16.807Z,"188864.0 TJ, rounding errors are allowed.",15920709-9594-4bb0-8e70-d503841368d6,"In 2020, what was the total coal supply in Israel? (answer in terajoules, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",15920709-9594-4bb0-8e70-d503841368d6,, +,2026-05-08T05:32:16.808Z,"31889337 TJ, rounding errors are allowed.",1012c974-2908-449f-a772-65390f9bc4a1,"In 2023, what was the total petroleum supply in the United States (answer in trillion joules, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",1012c974-2908-449f-a772-65390f9bc4a1,, +,2026-05-08T05:32:16.809Z,"2169248 TJ, rounding errors are allowed.",1a7080f3-17b4-492b-bda2-819ccb3b89d1,"In 2023, what was the total natural gas supply of Egypt (answer in TJ, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",1a7080f3-17b4-492b-bda2-819ccb3b89d1,, +,2026-05-08T05:32:16.810Z,"1.6 million units, rounding errors are allowed.",b9d406ca-3e30-4bb1-b128-9057bffb0891,"What were the sales of pure electric cars in Europe in 2022? (answer in million of vehicles, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",b9d406ca-3e30-4bb1-b128-9057bffb0891,, +,2026-05-08T05:32:16.811Z,"317.4 Gwh, rounding errors are allowed.",0ef84721-dd4f-45d5-aa6f-949b85369e00,"In 2015, what was the nuclear power capacity in developed economies in the Announced Pledges Scenario (answer in gigawatts, rounded to one decimal place)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",0ef84721-dd4f-45d5-aa6f-949b85369e00,, +,2026-05-08T05:32:16.812Z,The results between 2.80% to 2.90% are considered correct.,60846c49-7352-4d46-9373-7d87a0ccd6b4,"On July 15, 2022, what was the 6-Month Treasury Bill Secondary Market Rate? (answer in percentage, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",60846c49-7352-4d46-9373-7d87a0ccd6b4,, +,2026-05-08T05:32:16.813Z,"$4187.9 billions, rounding errors are allowed.",30f8cdd8-d357-4dae-abaf-0df953583b16,"In December 2021, what were the total Reserves of Depository Institutions in the United States? (answer in billions of dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",30f8cdd8-d357-4dae-abaf-0df953583b16,, +,2026-05-08T05:32:16.814Z,"The results within the range of 329,660 to 329,662 (in million of dollars) are considered correct.",713b6c22-bd36-4821-bb3a-d2eac4d7bd63,"In April 2023, what was the total borrowing amount in millions of dollars from the Federal Reserve? (answer in Millions of dollars, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",713b6c22-bd36-4821-bb3a-d2eac4d7bd63,, +,2026-05-08T05:32:16.815Z,"1.177, rounding errors are allowed.",023c0cf7-699c-4532-99a9-d68c398b6090,"In the third quarter of 2020, what was the Velocity of M2 Money Stock in the United States? (rounded to three decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",023c0cf7-699c-4532-99a9-d68c398b6090,, +,2026-05-08T05:32:16.816Z,"$21,442 billion, rounding errors are allowed.",f25d5e28-0a11-46c4-9717-1de239de9a93,"On 2024 Dec, what was the seasonally adjusted M2 money supply in the United States (answer in billions of dollars, rounded to the nearest integer)?","{""reference_flag_notes"":""Eval artifacts disagree on whether this reference is a valid December 2024 M2 value or a mismatched historical/vintage target. Review provenance before using it as ground truth."",""reference_flag_source"":""manual_audit_2026-03-22"",""reference_flag_status"":""review"",""reference_flags"":""vintage_or_temporal_mismatch;judge_disagreement""}",f25d5e28-0a11-46c4-9717-1de239de9a93,, +,2026-05-08T05:32:16.817Z,"955.74 USD/oz, rounding errors are allowed.",f6222d78-43c0-4231-a038-8efe9179c278,"What was the average LBMA Platinum AM annual price in January 2024? (answer in USD/oz, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",f6222d78-43c0-4231-a038-8efe9179c278,, +,2026-05-08T05:32:16.818Z,"9610.25 USD/MT, rounding errors are allowed.",df89ba03-b10f-4357-bc52-cc81c3d94912,"What was the closing price of LME Copper - 2025 AUG on May 27, 2025? (answer in USD/MT, rounded to 2 decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",df89ba03-b10f-4357-bc52-cc81c3d94912,, +,2026-05-08T05:32:16.819Z,The results within the range of $33664 to $33667 are considered correct.,d6db7630-d5bf-4963-8d6a-944e17bbce9d,"On June 7, 2023, what was the closing price of the Dow Jones Industrial Average (DJI)? (answer in USD, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",d6db7630-d5bf-4963-8d6a-944e17bbce9d,, +,2026-05-08T05:32:16.820Z,"113.05 or 113‘08‘5’(in futures quote hexadecimal notation), rounding errors are allowed.",4db573d7-6e47-4093-abd2-c944fe41f5fc,"On April 4, 2025, what was the price of the US 10-Year T-Note Futures (September 2025 contract)? (unit: =100, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",4db573d7-6e47-4093-abd2-c944fe41f5fc,, +,2026-05-08T05:32:16.821Z,"71.77 USD/Barrel, rounding errors are allowed.",bf37a60a-0771-4e92-aaa6-1405cba02f3a,"On June 16, 2025, what was the settlement price of the WTI crude oil July 2025 contract? (answer in USD/Barrel, rounded to 2 decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",bf37a60a-0771-4e92-aaa6-1405cba02f3a,, +,2026-05-08T05:32:16.822Z,"1121.0 Cents/Bushel, rounding errors are allowed.",2608adf4-0fdc-4cf8-81a0-a9b43510fc15,"What was the high for the Chicago soybean July 2025 contract on July 26, 2024? (answer in Cents/Bushel, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",2608adf4-0fdc-4cf8-81a0-a9b43510fc15,, +,2026-05-08T05:32:16.823Z,"464.0 Cents/Bushel, rounding errors are allowed.",844840ea-1c17-4c25-9bb5-79de883303d4,"What was the closing price of Chicago corn for the July 2025 contract on December 28, 2024 (answer in Cents/Bushel, rounded to one decimal place)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",844840ea-1c17-4c25-9bb5-79de883303d4,, +,2026-05-08T05:32:16.824Z,"72.65 USD/Barrel, rounding errors are allowed.",9f971713-3ce6-4750-b8fa-26184c57b0df,"What was the closing price of the WTI crude oil August contract on January 16, 2025? (answer in USD/Barrel, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",9f971713-3ce6-4750-b8fa-26184c57b0df,, +,2026-05-08T05:32:16.825Z,"499.9320 IDR, rounding errors are allowed.",028652b4-8a3e-4b1e-a897-611a5e95a515,"On November 23, 2020, what was the closing price of Indonesia's IDX30 index? (answer in IDR, rounded to four decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",028652b4-8a3e-4b1e-a897-611a5e95a515,, +,2026-05-08T05:32:16.826Z,"27.02, rounding errors are allowed.",ffcc06ef-035a-42aa-b196-92502e6f2a81,"What was the closing value of the VIX on April 25, 2022? (rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",ffcc06ef-035a-42aa-b196-92502e6f2a81,, +,2026-05-08T05:32:16.827Z,"14575.98 EUR, rounding errors are allowed.",e0a6819c-3f52-43a4-9689-a626ab406f81,"What was the closing price of the German DAX index on May 30, 2022? (answer in EUR, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",e0a6819c-3f52-43a4-9689-a626ab406f81,, +,2026-05-08T05:32:16.828Z,"39101.64 JPY, rounding errors are allowed.",15278c0d-f5b9-4e63-90c0-c58e0e190e36,"What was the highest price of the Japan 225 Index on November 15, 2024? (answer in JPY, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",15278c0d-f5b9-4e63-90c0-c58e0e190e36,, +,2026-05-08T05:32:16.829Z,"8241.26 GBP, rounding errors are allowed.",610bc2ea-a3d4-4ad5-ae0d-0c757e4f854c,"On July 4, 2024, what was the closing price of the UK's FTSE 100 Index? (answer in GBP, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",610bc2ea-a3d4-4ad5-ae0d-0c757e4f854c,, +,2026-05-08T05:32:16.830Z,"5.47%, rounding errors are allowed.",7627d8af-588c-4308-99fd-512b7d38949c,"On July 3, 2024, what was the US 3-month treasury bond yield? (answer in percentage, rounded to 2 decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",7627d8af-588c-4308-99fd-512b7d38949c,, +,2026-05-08T05:32:16.831Z,"3.72%, rounding errors are allowed.",ad77b6b8-b2d8-4571-b425-da142c0a77d1,"On May 22, 2023, what was the US 10-year treasury bond yield?(answer in percentage, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",ad77b6b8-b2d8-4571-b425-da142c0a77d1,, +,2026-05-08T05:32:16.832Z,"$22579.6 billions, rounding errors are allowed.",8fa4de26-c5a7-4e16-a940-3e2cd0832aa5,"In April 2025, what was the Disposable personal income in the United States? (answer in billions of dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",8fa4de26-c5a7-4e16-a940-3e2cd0832aa5,, +,2026-05-08T05:32:16.833Z,"$659.5 billions, rounding errors are allowed.",f3f32b70-3bc4-49da-ac91-275434644881,"In July 2022, what was the value of advance retail and food services sales in the United States? (Data updated: Jul 17, 2025, seasonally Adjusted. answer in billions of dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",f3f32b70-3bc4-49da-ac91-275434644881,, +,2026-05-08T05:32:16.834Z,"2139.1 (in billion of dollars), rounding errors are allowed.",7195ea5e-f6da-4a98-b4a3-6876e2e449fd,"In September 2021, what was the Business Inventory in the United States?(answer in billions of dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",7195ea5e-f6da-4a98-b4a3-6876e2e449fd,, +,2026-05-08T05:32:16.835Z,The result within the range of 5.3% to 5.5% are considered correct.,1e2b0e76-afdb-4cf8-b40e-d56a88d877ff,"In August 2009, what was the unemployment rate of Japan? (answer in percentage, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",1e2b0e76-afdb-4cf8-b40e-d56a88d877ff,, +,2026-05-08T05:32:16.836Z,"33 thousand metric tons, rounding errors are allowed.",25bd8182-9ad6-4fb5-81cc-d8c2aa6f4c75,"In 2022, what was the amount of Aviation gasoline - Final energy consumption in Brazil? (answer in thousand metric tons, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",25bd8182-9ad6-4fb5-81cc-d8c2aa6f4c75,, +,2026-05-08T05:32:16.837Z,The results between 21691200 to 21691400 kg are considered correct.,ebdc19e0-0e09-47c6-80e7-7416ba9e935f,"How many kilograms of husked (brown) rice were exported by Brazil in 2023 (answer in kilograms, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",ebdc19e0-0e09-47c6-80e7-7416ba9e935f,, +,2026-05-08T05:32:16.838Z,The results between $105.360 to $105.880 are considered correct.,02da1112-5bd1-4021-aa27-c0d1012856e4,"On March 8, 2023, what was the U.S. Dollar Index? (rounded to 3 decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",02da1112-5bd1-4021-aa27-c0d1012856e4,, +,2026-05-08T05:32:16.839Z,"100.2, rounding errors are allowed.",c16222cc-207a-4fb2-9880-7d1579dc42cc,"In June 2015, what was Germany's Ifo Business Climate Index? (data from June 24,2025, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",c16222cc-207a-4fb2-9880-7d1579dc42cc,, +,2026-05-08T05:32:16.840Z,"99.03, rounding errors are allowed.",fcb595c8-53a8-40ea-a1a9-f5f546a03284,"In April 2015, what was the CPI of Russia? (base year 2015=100, rounded to two decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",fcb595c8-53a8-40ea-a1a9-f5f546a03284,, +,2026-05-08T05:32:16.841Z,"58, rounding errors are allowed.",068eb3e1-c53c-4167-acbf-61694866cc99,What was the U.S. Housing Market Index (HMI) in November 2014? (answer rounded to the nearest integer),"{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",068eb3e1-c53c-4167-acbf-61694866cc99,, +,2026-05-08T05:32:16.842Z,"4970000, rounding errors are allowed.",53557374-2b99-4cd6-8bd3-df2712603160,"In February 2015, what was the annual sales volume of finished houses in the United States (data from July 24,2025, Seasonally adjusted, rounded to the nearest integer)?","{""reference_flag_notes"":""Question wording suggests finished/new houses, but repeated eval evidence indicates the reference aligns with an existing-home-sales metric instead of the finished-houses series."",""reference_flag_source"":""manual_audit_2026-03-22"",""reference_flag_status"":""suspicious"",""reference_flags"":""metric_definition_mismatch""}",53557374-2b99-4cd6-8bd3-df2712603160,, +,2026-05-08T05:32:16.843Z,"$440,713 million dollar, rounding errors are allowed.",ec013ee0-6500-44ef-aab2-b44b8b372cbe,"What were total retail trade in the United States in December 2014 (Not Seasonally Adjusted, answer in millions of dollars, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",ec013ee0-6500-44ef-aab2-b44b8b372cbe,, +,2026-05-08T05:32:16.844Z,"$144.4 million, rounding errors are allowed.",3efe4d17-e63a-4a9c-b14c-ffc6989b482a,"As of January 30, 2016, what was the working capital of GameStop? (answer in millions of dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",3efe4d17-e63a-4a9c-b14c-ffc6989b482a,, +,2026-05-08T05:32:16.845Z,"182000 Square Footage, rounding errors are allowed.",d77393fc-1f6e-41cd-8f9a-401d8eb9f0b4,"As of January 30, 2016, what was the total area of GameStop's manufacturing and distribution facilities in Grapevine, Texas? (answer in Square Footage, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",d77393fc-1f6e-41cd-8f9a-401d8eb9f0b4,, +,2026-05-08T05:32:16.846Z,7,85a40d91-738d-466b-bacf-d5b33d7afeb6,"As of January 30, 2016, what was the number of GameStop stores in Alaska? (rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",85a40d91-738d-466b-bacf-d5b33d7afeb6,, +,2026-05-08T05:32:16.847Z,"$94008 thousand, rounding errors are allowed.",35246de6-75f5-40bb-a657-330c15b89f12,"What was the total gross profit of Planet Labs in fiscal year 2023? (answer in thousands of dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",35246de6-75f5-40bb-a657-330c15b89f12,, +,2026-05-08T05:32:16.848Z,"$798 thousand, rounding errors are allowed.",e385ac2e-e4f7-4bbc-a610-d9348ea84b1a,"What was the deferred rent of Planet Labs for the fiscal year 2022? (answer in thousands of dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",e385ac2e-e4f7-4bbc-a610-d9348ea84b1a,, +,2026-05-08T05:32:16.849Z,"$-242263, rounding errors are allowed.",fa38f6d6-23f9-4396-8444-f65efb768385,"For the fiscal year 2023, what was Planet Labs' Net cash provided by Investing activities? (answer in thousands of dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",fa38f6d6-23f9-4396-8444-f65efb768385,, +,2026-05-08T05:32:16.850Z,"The results between $105,100 thousand to $105,050 thousand are considered correct.",1f7b34c0-ff3d-4eb8-9ad6-b36b6c64d819,"As of December 31, 2020, what was the Contribution Profit of Upstart Holdings? (answer in thousands of dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",1f7b34c0-ff3d-4eb8-9ad6-b36b6c64d819,, +,2026-05-08T05:32:16.851Z,"$477255 thousand, rounding errors are allowed.",9545c5f8-25a6-4c36-883f-2d5c3b83e25c,"As of the end of 2020, what was the total amount of Upstart Holdings' Total liabilities, convertible preferred stock and stockholders’ equity (deficit)? (answer in thousands of dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",9545c5f8-25a6-4c36-883f-2d5c3b83e25c,, +,2026-05-08T05:32:16.852Z,"$162546 thousand, rounding errors are allowed.",f2740b2d-f517-4888-a042-03189a622685,"As of the end of December 2019, what was the value of Upstart Holdings' convertible preferred stock (answer in thousands of dollars, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",f2740b2d-f517-4888-a042-03189a622685,, +,2026-05-08T05:32:16.853Z,"-$82933 thousand, rounding errors are allowed.",d3cb1c3a-7511-45a2-ac69-abcc14358beb,"As of the end of fiscal year 2021, what was the total stockholders' deficit of Knightscope? (answer in thousands of dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",d3cb1c3a-7511-45a2-ac69-abcc14358beb,, +,2026-05-08T05:32:16.854Z,The results between $1510 thousand to $1550 thousand are considered correct.,782bdf41-2a81-41e1-b070-73b6b0bba677,"In 2021, what was Knightscope's Accounts payable? (answer in thousands of dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",782bdf41-2a81-41e1-b070-73b6b0bba677,, +,2026-05-08T05:32:16.855Z,"143%, rounding errors are allowed.",43b9802e-cccb-4454-a1fc-078eddb8e3c5,"In 2021, what was Knightscope's General and administrative expense as a percentage of revenue? (answer in percentage, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",43b9802e-cccb-4454-a1fc-078eddb8e3c5,, +,2026-05-08T05:32:16.856Z,"353%, rounding errors are allowed.",fd32f838-058e-45a2-95c4-accf430aeffd,"What was Knightscope's sales and marketing spending as a percentage of total revenue in 2021? (answer in percentage, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",fd32f838-058e-45a2-95c4-accf430aeffd,, +,2026-05-08T05:32:16.857Z,"$7311 million, rounding errors are allowed.",32079ded-463f-48b1-aa00-ecc7ff012760,"As of September 25, 2016, what were the total current liabilities of QUALCOMM (in millions of U.S. dollars, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",32079ded-463f-48b1-aa00-ecc7ff012760,, +,2026-05-08T05:32:16.858Z,The results between $1700 to $1750 million are considered correct.,807514ff-88fa-4b92-9eaf-a4e3fec37176,"As of September 25, 2016, what was the Short-term debt of QUALCOMM (answer in millions of dollars, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",807514ff-88fa-4b92-9eaf-a4e3fec37176,, +,2026-05-08T05:32:16.859Z,"$31768 million, rounding errors are allowed.",5b74f622-22d2-43fe-8ab0-47518c9c787d,"As of September 25, 2016, what was the Total stockholders’ equity of QUALCOMM (answer in millions of dollars, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",5b74f622-22d2-43fe-8ab0-47518c9c787d,, +,2026-05-08T05:32:16.860Z,"$3933 thousand, rounding errors are allowed.",e8989a3e-1823-4d1c-8b79-406bebfe72e1,"In 2016, what were Plug Power's intangible assets, net? (answer in thousands of dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",e8989a3e-1823-4d1c-8b79-406bebfe72e1,, +,2026-05-08T05:32:16.861Z,"$20829 thousand, rounding errors are allowed.",d753baff-3b05-4bdb-a653-023091e13c07,"As of the end of December 2016, what was the long-term debt (1-3 Years) of Plug Power (answer in thousands of dollars, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",d753baff-3b05-4bdb-a653-023091e13c07,, +,2026-05-08T05:32:16.862Z,"-$57879 thousand, rounding errors are allowed.",e37be72a-6559-4ee4-a5ad-e7684bf9de7d,"As of the end of December 2016, what was the loss before income taxes of Plug Power (answer in thousands of dollars, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",e37be72a-6559-4ee4-a5ad-e7684bf9de7d,, +,2026-05-08T05:32:16.863Z,"$178450, rounding errors are allowed.",ff69d96e-38f5-48c6-8348-1c6dc4183572,"Between July 10, 2020, and December 31, 2020, what was the Accrued expenses of SoFi Technologies? (answer in dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",ff69d96e-38f5-48c6-8348-1c6dc4183572,, +,2026-05-08T05:32:16.864Z,"$259,714, rounding errors are allowed.",9bfacf0b-b23a-4884-b715-e761cdebad45,"As of December 31, 2020, what was the ending cash of SoFi Technologies? (answer in dollars, rounded to the nearest integer)","{""reference_flag_notes"":""Question asks for ending cash, but repeated eval evidence indicates the reference aligns with a different line item or scale, not ending cash and cash equivalents."",""reference_flag_source"":""manual_audit_2026-03-22"",""reference_flag_status"":""suspicious"",""reference_flags"":""line_item_or_unit_mismatch""}",9bfacf0b-b23a-4884-b715-e761cdebad45,, +,2026-05-08T05:32:16.865Z,"$806,545,938, rounding errors are allowed.",1c3b8068-a83b-45f1-b8ea-bf32cdccc391,"What was the Net cash provided by financing activities of SoFi Technologies between July 10, 2020, and December 31, 2020? (answer in dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",1c3b8068-a83b-45f1-b8ea-bf32cdccc391,, +,2026-05-08T05:32:16.866Z,"$369372 thousand, rounding errors are allowed.",907baa19-21a2-463c-9c6a-e7221db331a8,"What was the Additional paid-in capital of Lands' End as of the end of the fiscal year 2020? (answer in thousand dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",907baa19-21a2-463c-9c6a-e7221db331a8,, +,2026-05-08T05:32:16.867Z,"$40356 thousand, rounding errors are allowed.",6bc143c2-b124-44f4-8eb3-47fd763f6a2f,"As of the end of the fiscal year of 2020, what was the amount of Lands' End's Prepaid expenses and other current assets? (answer in thousand dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",6bc143c2-b124-44f4-8eb3-47fd763f6a2f,, +,2026-05-08T05:32:16.868Z,"$27754 thousand, rounding errors are allowed.",704aa754-1263-427a-a8ce-0bb6b965d4f7,"In the fiscal year 2020, what was the Interest expense of Lands' End? (answer in thousand dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",704aa754-1263-427a-a8ce-0bb6b965d4f7,, +,2026-05-08T05:32:16.869Z,"$4349 million, rounding errors are allowed.",046f1e21-4a8b-4af4-95da-920d1c262b56,"In the fiscal year 2022, what was the goodwill of NVIDIA disclosed? (answer in million dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",046f1e21-4a8b-4af4-95da-920d1c262b56,, +,2026-05-08T05:32:16.870Z,"$379 million, rounding errors are allowed.",bec278b5-0054-4775-bc9d-e92cf1727a68,"As of the end of the fiscal year 2022, what was the value of NVIDIA's long-lived assets in Taiwan? (answer in million dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",bec278b5-0054-4775-bc9d-e92cf1727a68,, +,2026-05-08T05:32:16.871Z,"$8492 million, rounding errors are allowed.",f957eb29-4626-41d3-aaff-1e280e2e051c,"In the fiscal year 2022, what was the total operating income of NVIDIA's Graphic? (answer in million dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",f957eb29-4626-41d3-aaff-1e280e2e051c,, +,2026-05-08T05:32:16.872Z,"$1408 million, rounding errors are allowed.",af5a0d9e-503e-4dd6-b480-f83a919948bd,"In the fiscal year 2022, what was NVIDIA's total deferred tax assets? (answer in million dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",af5a0d9e-503e-4dd6-b480-f83a919948bd,, +,2026-05-08T05:32:16.873Z,"$16235 million, rounding errors are allowed.",7959fe17-f6a3-4fa7-96f6-16f2148206d0,"In the fiscal year 2022, what was the retain earning of NVIDIA? (answer in million dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",7959fe17-f6a3-4fa7-96f6-16f2148206d0,, +,2026-05-08T05:32:16.874Z,"87.01 dollar/hour, rounding errors are allowed.",7704f311-c0bf-4d02-b57d-88634a37e05b,"Based on current prices, In 2021, what was the GDP per hour worked in the United States (in purchasing - power - parity terms)? (answer in dollars per hour, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",7704f311-c0bf-4d02-b57d-88634a37e05b,, +,2026-05-08T05:32:16.875Z,"$92270 million, rounding errors are allowed.",b88f96f2-8052-4afa-976c-360d2ab6358f,"In 2006, what was the amount of private flows in the United States in million dollars (rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",b88f96f2-8052-4afa-976c-360d2ab6358f,, +,2026-05-08T05:32:16.876Z,"4.9%, rounding errors are allowed.",40d5b87d-b1b0-495f-a5ff-7e09b7e48fd2,"In 2008, what was the proportion of Canada's public pension spending to GDP? (answer in percentage, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",40d5b87d-b1b0-495f-a5ff-7e09b7e48fd2,, +,2026-05-08T05:32:16.877Z,"3.97%, rounding errors are allowed.",7099c672-186e-4828-a0ab-b1b81081a782,"In 2007, what was the proportion of the Tax on personal income to GDP in South Korea? (answer in percentage, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",7099c672-186e-4828-a0ab-b1b81081a782,, +,2026-05-08T05:32:16.878Z,"1.21%, rounding errors are allowed.",ba07ad91-a705-4f71-a392-6050102cf775,"In 2008, what was the public unemployment spending as a percentage of GDP in Germany? (answer in percentage, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",ba07ad91-a705-4f71-a392-6050102cf775,, +,2026-05-08T05:32:16.879Z,"28348330, rounding errors are allowed.",0e8103dc-0848-44f4-8356-872c49a4225e,"In 2020, what was the number of passenger car registrations in the United States? (answer in units, rounded to the nearest integer)","{""reference_flag_notes"":""Reference appears more consistent with a punctuation-stripped annual monthly-level value than with a full-year passenger-car registration count. Local eval traces repeatedly found materially different definitions and scales."",""reference_flag_source"":""manual_audit_2026-03-22"",""reference_flag_status"":""suspicious"",""reference_flags"":""possible_numeric_format_corruption;metric_definition_mismatch""}",0e8103dc-0848-44f4-8356-872c49a4225e,, +,2026-05-08T05:32:16.880Z,"4986617, rounding errors are allowed.",41f258ee-5f62-44e1-ba2f-5cdf3f5d7eab,"What was the number of passenger car registrations in Australia in 2006? (answer in units, rounded to the nearest integer)","{""reference_flag_notes"":""Reference appears to match a punctuation-stripped OECD/FRED annual monthly-level value more closely than a full-year registration count. Local eval traces split between new-registration flow and registered-vehicle stock interpretations."",""reference_flag_source"":""manual_audit_2026-03-22"",""reference_flag_status"":""suspicious"",""reference_flags"":""possible_numeric_format_corruption;metric_definition_mismatch""}",41f258ee-5f62-44e1-ba2f-5cdf3f5d7eab,, +,2026-05-08T05:32:16.881Z,"64.65, rounding errors are allowed.",4a0134ff-e71c-42db-abac-8dfda9dd885e,"Taking 2020 as the reference year, what was the nni of South Africa in 2002? (2020 = 100, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",4a0134ff-e71c-42db-abac-8dfda9dd885e,, +,2026-05-08T05:32:16.882Z,"82.76, rounding errors are allowed.",8209e5e5-9812-4846-94aa-bef4024a72ec,"Taking 2020 as the reference year, what was the NNI of the United States in 2006? (2020 = 100, answer rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",8209e5e5-9812-4846-94aa-bef4024a72ec,, +,2026-05-08T05:32:16.883Z,"0.44%, rounding errors are allowed.",9d73b511-f591-4e82-a9f2-a3ad7cf02376,"In 2019, what was the ratio of net lending or net borrowing by the general government to GDP in Sweden? (answer in percentage, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",9d73b511-f591-4e82-a9f2-a3ad7cf02376,, +,2026-05-08T05:32:16.884Z,"4.17%, rounding errors are allowed.",f6ffd5a4-9fb2-4776-a399-4deb1aefd842,"In 2008, what was the ratio of net lending to net borrowing of enterprises as a percentage of GDP in Japan? (answer in percentage, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",f6ffd5a4-9fb2-4776-a399-4deb1aefd842,, +,2026-05-08T05:32:16.885Z,"2.29%, rounding errors are allowed.",2ea6e137-58bb-4d1f-a247-cb2a54be995f,"What was the proportion of tax on corporate income to GDP in the UK in 2015? (answer in percentage, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",2ea6e137-58bb-4d1f-a247-cb2a54be995f,, +,2026-05-08T05:32:16.886Z,"2.61%, rounding errors are allowed.",033cf1a0-8b27-4340-a8a9-b84017e59dd0,"In the whole year of 2021, what was the proportion of the Tax on corporate income to GDP in Poland? (answer in percentage, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",033cf1a0-8b27-4340-a8a9-b84017e59dd0,, +,2026-05-08T05:32:16.887Z,"$1560.62 billion, rounding errors are allowed.",68fc6360-4c6e-40c9-922e-5c2a841a4b9b,"What was the value of G20 exports of services in Q4 2023? (data from 23 August 2024,answer in billion dollars, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",68fc6360-4c6e-40c9-922e-5c2a841a4b9b,, +,2026-05-08T05:32:16.888Z,The result between $4232 to $4233 billion are considered correct.,07828b43-c8e1-494f-ac68-65cf763d87d0,"What was the value of G20 merchandise imports in Q2 2021? (answer in billion dollars, rounded to two decimal places)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",07828b43-c8e1-494f-ac68-65cf763d87d0,, +,2026-05-08T05:32:16.889Z,"1.6%, rounding errors are allowed.",e653ea0b-3286-4d5d-aa4c-d0ebfdbe5cee,"In 2019, what was Indonesia's Claims on central government (annual growth as % of broad money)? (answer in percentage, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",e653ea0b-3286-4d5d-aa4c-d0ebfdbe5cee,, +,2026-05-08T05:32:16.890Z,"3%, rounding errors are allowed.",d0b96123-919c-4537-8fc3-9af7dd34caf4,"In 2022, what was the proportion of insurance and financial services in Iceland's service exports? (answer in percentage, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",d0b96123-919c-4537-8fc3-9af7dd34caf4,, +,2026-05-08T05:32:16.891Z,"2.3%, rounding errors are allowed.",341495db-bf47-4ccf-804c-c8d2f7ad0f21,"In 2019, what was the percentage of foreign direct investment, net inflows in Mexico's GDP? (answer in percentage, rounded to one decimal place). +To calculate the percentage of foreign direct investment, the formula is: $\frac{Foreign Direct Investment Net Inflows}{Nominal GDP}\times100\%$.","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",341495db-bf47-4ccf-804c-c8d2f7ad0f21,, +,2026-05-08T05:32:16.892Z,"$44575.6, rounding errors are allowed.",5e7c217d-dd06-44c6-a3ad-32754ec8ff90,"In 2020, what was the GDP per capita of Israel? (answer in dollars, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",5e7c217d-dd06-44c6-a3ad-32754ec8ff90,, +,2026-05-08T05:32:16.893Z,"6.6%, rounding errors are allowed.",3a9c19c8-5734-4cde-ad5b-e618e7f18938,"What was the annual inflation rate in Australia in 2022? (answer in percentage, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",3a9c19c8-5734-4cde-ad5b-e618e7f18938,, +,2026-05-08T05:32:16.894Z,The results within the range of 3.5% to 3.7% are considered correct.,b0274dfb-aef4-4b6f-9eee-b03182ad41a6,"In 2016, what was the unemployment as a percentage of the total labor force in South Korea? (answer in percentage, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",b0274dfb-aef4-4b6f-9eee-b03182ad41a6,, +,2026-05-08T05:32:16.895Z,"8.5%, rounding errors are allowed.",c51431ff-7273-4ccf-b5e9-d9e4b590d760,"What was Zimbabwe's real GDP growth rate (annual percentage change) in 2021? (answer in percentage, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",c51431ff-7273-4ccf-b5e9-d9e4b590d760,, +,2026-05-08T05:32:16.896Z,"-2%, rounding errors are allowed.",b6fc39fe-03dd-4d48-9b99-1cf0a35acf04,"In 2011, what was the real GDP growth rate (annual percentage change) for Tunisia? (answer in percentage, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",b6fc39fe-03dd-4d48-9b99-1cf0a35acf04,, +,2026-05-08T05:32:16.897Z,"-4.2%, rounding errors are allowed.",540e9996-a9dd-4d85-9568-28a83e7d696f,"In 2020, what was the real GDP growth rate (annual percentage change) of Japan?(answer in percentage, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",540e9996-a9dd-4d85-9568-28a83e7d696f,, +,2026-05-08T05:32:16.898Z,"3.2%, rounding errors are allowed.",dfa4c31c-cb78-47e5-8648-3690ce1f9a6e,"What was the real GDP growth rate (annual percentage change) for New Zealand in 2005? (answer in percentage, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",dfa4c31c-cb78-47e5-8648-3690ce1f9a6e,, +,2026-05-08T05:32:16.899Z,"2.9%, rounding errors are allowed.",d115d0bb-fde9-486b-b374-63b5954bf2d6,"In 2015, what was the real GDP growth rate (annual percentage change) for the United States? (answer in percentage, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",d115d0bb-fde9-486b-b374-63b5954bf2d6,, +,2026-05-08T05:32:16.900Z,"$1214 million, rounding errors are allowed.",46f12a99-09bf-48fb-a544-9050ef20d6f6,"What was the IMF's Net Total Administrative Budget for the 2022 fiscal year? (answer in millions of dollars, rounded to the nearest integer)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",46f12a99-09bf-48fb-a544-9050ef20d6f6,, +,2026-05-08T05:32:16.901Z,The results between 6400 million SDR to 6500 million SDR are considered correct.,2944953c-c4b9-4145-a854-dd85c9ce0144,"In 2023, what was the total amount of aid funds approved by the IMF in the Asia-Pacific region? (answer in Million SDR, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",2944953c-c4b9-4145-a854-dd85c9ce0144,, +,2026-05-08T05:32:16.902Z,3% to 3.25%,c71ae172-dd5d-492c-be28-719a31ea387d,"In September 2022, what was the federal funds rate? (answer in percentage)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",c71ae172-dd5d-492c-be28-719a31ea387d,, +,2026-05-08T05:32:16.903Z,"4.9%, rounding errors are allowed.",c9093101-a853-4de9-b02e-22d421f23921,"In March 2023, what was the interest rate paid on reserve balances raised to by the Federal Reserve?(answer in percentage, rounded to one decimal place)","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",c9093101-a853-4de9-b02e-22d421f23921,, +,2026-05-08T05:32:16.904Z,"$21150.5 billion, rounding errors are allowed.",21f94826-19c8-4bcf-b1f6-a6b87e6e3d84,"As of the end of May 2024, what were the total liabilities of commercial banks in the United States (data from December 27, 2024, Not seasonally adjusted, answer in billions of dollars, rounded to one decimal place)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",21f94826-19c8-4bcf-b1f6-a6b87e6e3d84,, +,2026-05-08T05:32:16.905Z,"$17956 billion, rounding errors are allowed.",a045a8f1-e44f-416f-b622-f2fdae93602e,"As of the end of December 2024, what was the bank credit of commercial banks in the United States (data from July 18,2025 , seasonally adjusted, answer in billions of dollars, rounded to the nearest integer)?","{""reference_flag_notes"":null,""reference_flag_source"":null,""reference_flag_status"":null,""reference_flags"":null}",a045a8f1-e44f-416f-b622-f2fdae93602e,, diff --git a/data/fin_search_comp_t3_global.csv b/data/fin_search_comp_t3_global.csv new file mode 100644 index 0000000..dc0ac40 --- /dev/null +++ b/data/fin_search_comp_t3_global.csv @@ -0,0 +1,251 @@ +comments,created,answer,id,problem,input,metadata,root_span_id,tags +,2026-02-06T09:18:09.666Z,"Offshore (7.34) > Onshore (7.30) > Central parity rate (7.19). +A marginal error of 0.01 is allowed.",ef43fc5a-6b07-4fd4-a1e4-f884e4abeaf4,"On January 2nd, 2025, what is the size relationship among the three exchange rates of [Spot exchange rate: US dollar against offshore RMB (USDCNH)], [CFETS: Spot exchange rate: US dollar against RMB], and [Central parity rate: US dollar against RMB]? Provide the values and the ranking respectively. Keep 2 decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b040"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",ef43fc5a-6b07-4fd4-a1e4-f884e4abeaf4,, +,2026-02-06T09:18:09.667Z,"USDCNH is the highest. +The value is 7.43. +A marginal error of 0.01 is allowed.",9d445e61-dffa-4c7f-99bd-64e39b1f29c6,"In April 2025, among the three exchange rates, namely the spot exchange rate of US dollars against offshore RMB (USDCNH), the CFETS spot exchange rate of US dollars against RMB, and the central parity rate of US dollars against RMB, which one has the highest maximum value? What is the specific value, rounded to two decimal places?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b039"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",9d445e61-dffa-4c7f-99bd-64e39b1f29c6,, +,2026-02-06T09:18:09.668Z,"8.12 +A marginal error of 0.01 is allowed.",69a47ae0-b4c9-40ab-bfed-2783c35e3098,"From January 1, 2025, to May 3, 2025, on the day when the Hong Kong dollar to Chinese yuan central parity rate is at its lowest, calculate the euro to Hong Kong dollar exchange rate on that day based on the euro to Chinese yuan central parity rate (rounded to two decimal places).","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b038"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",69a47ae0-b4c9-40ab-bfed-2783c35e3098,, +,2026-02-06T09:18:09.669Z,"0.02% +Rounding errors are allowed.",2cb80eaf-263b-4bde-a796-2e1c8f068579,"From January 1, 2025, to May 3, 2025, on the day when the EUR/CNY central parity rate was highest, what was the day-on-day percentage change of the HKD/CNY central parity rate (rounded to two decimal places)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b037"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",2cb80eaf-263b-4bde-a796-2e1c8f068579,, +,2026-02-06T09:18:09.670Z,"No, the daily changes did not always occur in the same direction. +The USD/RMB central parity rate experienced its greatest increase on April 8th. +On that day, the EUR/RMB, HKD/RMB, and USD/RMB central parity rates were 7.9155, 0.9270, and 7.2038, respectively. +A marginal error of 0.01 is allowed.",d4991dde-e0d5-4a21-ba18-ceff8da9a0a6,"During April 2025, did the daily changes (compared to the previous day) in the central parity rates of EUR/RMB, HKD/RMB, and USD/RMB always occur in the same direction (i.e., all rates increasing together or all rates decreasing together)? +Among the days when these rates did not move in unison, find the date when the USD/RMB central parity rate experienced its greatest increase. List the three central parity rates (EUR/RMB, HKD/RMB, USD/RMB) for that specific day, rounded to four decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b036"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",d4991dde-e0d5-4a21-ba18-ceff8da9a0a6,, +,2026-02-06T09:18:09.671Z,"Nasdaq Index +Difference: 5.33% +Rounding errors are allowed",6f77d20b-5ae2-464c-a3b6-640d5de53963,"Which is greater, the full - year increase of the Nasdaq Index in 2024 or the full - year increase of the S&P 500 in 2024? What is the difference, answer in percentage, rounded to two decimal places?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b030"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",6f77d20b-5ae2-464c-a3b6-640d5de53963,, +,2026-02-06T09:18:09.672Z,"The index with the largest trading volume is the same as the one with the highest annual turnover rate. +The index: CSI 1000 +Trading volume: 4.72 trillion shares +Turnover rate: 492.91% +Rounding errors are allowed.",bf425992-592b-41fb-98be-3a242d845359,"Among the S&P 500, CSI 300, Hang Seng Tech Index, STAR 50, Nasdaq Index, SSE 50, CSI 1000, and CSI 500, in 2024, is the index with the largest trading volume the same as the one with the highest annual turnover rate? Please identify the respective indices that meet the criteria and provide the corresponding data, rounded to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b029"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",bf425992-592b-41fb-98be-3a242d845359,, +,2026-02-06T09:18:09.673Z,"Nasdaq: 60.77 trillion USD +Scoring criteria: A marginal error of 0.05 is allowed.",4353f39f-5b3f-4bac-8a7d-205a1e88d7e6,"Among the S&P 500, CSI 300, Hang Seng TECH Index, STAR 50, Nasdaq Index, SSE 50, CSI 1000, and CSI 500, which one will have the second highest total trading volume in 2024? What will that volume be (calculated using the exchange rates as of May 16, 2025: USD mid-rate: 719.38 CNY/100 USD; HKD mid-rate: 92.146 CNY/100 HKD)? The unit should be in the local currency of the index, expressed in trillions, rounded to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b028"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",4353f39f-5b3f-4bac-8a7d-205a1e88d7e6,, +,2026-02-06T09:18:09.674Z,"Higher by 8,847,105.72 billion yuan +Rounding errors are allowed.",04a37357-cb5b-4e0d-bb21-8db95d0370ee,"How much higher or lower in billions of yuan is the combined volume of the Nasdaq Composite and S&P 500 compared to the combined volume of the CSI 300 and CSI 500? (Based on the USD midpoint exchange rate of 719.38 yuan per 100 USD as of May 16, 2025, with the final result rounded to two decimal places.)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b026"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",04a37357-cb5b-4e0d-bb21-8db95d0370ee,, +,2026-02-06T09:18:09.675Z,"$0.67 +Scoring criteria: Rounding errors are allowed.",dcacc806-f2b3-4928-af04-18057e1b5209,"What is the difference in weekly closing prices (in dollars, unadjusted) for American Airlines (AAL) stock on the weeks of May 12-16, 2025, and May 19-23, 2025? Please round to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b020"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",dcacc806-f2b3-4928-af04-18057e1b5209,, +,2026-02-06T09:18:09.676Z,"NTCL, -68.80% +Scoring criteria: Rounding errors are allowed.",d3cc665c-ed9d-4ffc-89ca-ec83151ca45e,"Which Nasdaq stock had the largest weekly decline from May 19 to May 23, 2025? What was the exact percentage change? Please retain two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b019"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",d3cc665c-ed9d-4ffc-89ca-ec83151ca45e,, +,2026-02-06T09:18:09.677Z,"Lower by 2.56% +Rounding errors are allowed.",457f70c3-4d8f-47ba-9ba3-4dca722b7188,"By how many percentage points was the weekly turnover rate of Taiwan Semiconductor Manufacturing Company (TSM) higher or lower than that of Goldman Sachs Group (GS) for the week of May 19 to May 23, 2025? Please round the result to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b018"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",457f70c3-4d8f-47ba-9ba3-4dca722b7188,, +,2026-02-06T09:18:09.678Z,"$339.34, which is $138.35 higher than that of Amazon. +Rounding errors are allowed.",1ccb4976-4852-49da-96c4-4789e66414d5,"From May 19th to May 23rd, 2025, what was the closing price (unadjusted) of Tesla in the U.S. stock market that week? How much higher/lower was it than that of Amazon? Keep 2 decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b017"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",1ccb4976-4852-49da-96c4-4789e66414d5,, +,2026-02-06T09:18:09.679Z,"Tesla +Weekly trading value: 172.67 billion USD +Weekly turnover rate: 15.67% +Rounding errors are allowed.",46a2adc7-a1ff-445f-a330-ceb657d0ccba,"What was the Nasdaq stock with the highest trading value for the week of May 19-23, 2025, and what were its weekly trading value (in billions of USD, to 2 decimal places) and weekly turnover rate (to 2 decimal places)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b016"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",46a2adc7-a1ff-445f-a330-ceb657d0ccba,, +,2026-02-06T09:18:09.680Z,"22.19% +Rounding errors are allowed.",e3445d87-7d1e-4aef-999b-cb9352dcb2ea,"What is the highest return on invested capital (TTM) of UnitedHealth in the past five years (from 2020 to 2024)? (Calculated based on quarterly reports +, rounded to two decimal places)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b015"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",e3445d87-7d1e-4aef-999b-cb9352dcb2ea,, +,2026-02-06T09:18:09.681Z,"$184.53, increased by 43.18% +Rounding errors are allowed.",215d228f-f384-48ab-a278-5adc60a9a24e,"In April 2025, what was the highest monthly stock price for Boeing (BA)? Compared to its lowest monthly stock price, what was the percentage increase? (Round the percentage to 2 decimal places; use non-adjusted stock prices.)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b014"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",215d228f-f384-48ab-a278-5adc60a9a24e,, +,2026-02-06T09:18:09.682Z,"2020:6.19% +2021:13.57% +2022:-16.64% +2023:22.95% +Rounding errors are allowed.",dad6fc6f-f28a-46f2-8b46-8d6ba93da7b7,"What is the year-over-year growth rate (%) of Oracle's total assets + for each fiscal year from 2020 to 2023 (using U.S. GAAP, rounded to two decimal places)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b013"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",dad6fc6f-f28a-46f2-8b46-8d6ba93da7b7,, +,2026-02-06T09:18:09.683Z,"TSMC: 0.42% +Boeing: 7.44% +Goldman Sachs: 0.23% +(Rounding errors are allowed.)",98cc0ffd-674d-4f01-a060-f1620b283aef,"Which stocks among Merck, TSMC (US-listed), Boeing, IBM, and Goldman Sachs had a positive monthly percentage change in April 2025? What are their security names and respective percentage changes (rounded to two decimal places)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b012"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",98cc0ffd-674d-4f01-a060-f1620b283aef,, +,2026-02-06T09:18:09.684Z,Boeing: -11.51 (A margin error of 0.01 is allowed.),70fc2514-bb44-49c8-8753-52618fbf345c,"On April 27, 2025, among Merck, TSMC (US stock), Boeing, IBM, and Goldman Sachs Group, which stock had a negative Price-to-Earnings ratio (TTM)? What was its P/E ratio ( rounded to two decimal places)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b011"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",70fc2514-bb44-49c8-8753-52618fbf345c,, +,2026-02-06T09:18:09.685Z,"TSMC: 856.30 billion USD +Rounding errors are allowed.",dbbdb4c3-b7c1-4ca0-92d7-2e52171e2c8d,"On April 27, 2025, among Merck, TSMC (US-listed), Boeing, IBM, and Goldman Sachs, which company's stock has the largest total market capitalization (calculated in the respective local currency and summed up)? What is the value? (Unit: billion USD, rounded to two decimal places)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b010"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",dbbdb4c3-b7c1-4ca0-92d7-2e52171e2c8d,, +,2026-02-06T09:18:09.686Z,"Lowest in 2022: 29.84% +Rounding errors are allowed.",e67b7b37-f353-4ac0-aabf-71b227575990,"For the fiscal years 2021 to 2024, in which year was Tesla's depreciation and amortization as a percentage of its net income the lowest, and what was this percentage (rounded to two decimal places)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b009"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",e67b7b37-f353-4ac0-aabf-71b227575990,, +,2026-02-06T09:18:09.687Z,"2021: 4.91 +2022: 5.95 +2023: 6.35 +2024: 4.94 +A margin error of 0.01 is allowed .",d19399e0-fae1-450b-bfec-c022eb9fb16a,"For each fiscal year from 2021 to 2024, what is Apple's inventory turnover rate as a multiple of Tesla's inventory turnover rate? (Round to two decimal places.)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b008"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",d19399e0-fae1-450b-bfec-c022eb9fb16a,, +,2026-02-06T09:18:09.688Z,"2021: 4.97 +2022: 1.35 +2023: 4.38 +2024: 0.66 +Scoring criteria: A marginal error of 0.01 is allowed.",6c6a9bc5-f582-4343-91bb-ec1b681e13b3,"For fiscal years 2021-2024, what multiple was Wells Fargo's net income of Nvidia's net income, respectively? (Round to two decimal places.)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b007"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",6c6a9bc5-f582-4343-91bb-ec1b681e13b3,, +,2026-02-06T09:18:09.689Z,"Wells Fargo: 90.62% +Apple: 84.40% +Tesla: 39.64% +Rounding errors are allowed.",c339ac83-7378-4d63-b33a-eeeb09d894d0,"Based on the fiscal year 2024 annual report data, rank Tesla, Nvidia, Wells Fargo, Facebook, and Apple by debt-to-asset ratio from highest to lowest, listing the top three companies and their respective values (to two decimal places).","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b006"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",c339ac83-7378-4d63-b33a-eeeb09d894d0,, +,2026-02-06T09:18:09.690Z,"2021: 20.57% +2022: 21.62% +2023: 12.80% +2024: 26.51% +Rounding errors are allowed.",8fb5c1d9-a88e-4092-ba23-d2d01b803c9f,"How many percentage points lower was Apple's gross profit margin than Nvidia's each fiscal year from 2021 to 2024? (answer in percentage, rounded to two decimal places.)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b005"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",8fb5c1d9-a88e-4092-ba23-d2d01b803c9f,, +,2026-02-06T09:18:09.691Z,"Highest: Facebook (META PLATFORMS): 33.38% +Lowest: Tesla (TESLA): 10.25% +Scoring criteria: Rounding errors are allowed.",e642bbc2-d46f-4e65-b68f-eee632980227,"Among Tesla, Nvidia, Wells Fargo, Facebook, and Apple, which company had the highest and lowest net profit margin in fy 2021? What were the corresponding values? (Unit: %, rounded to two decimal places)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_b004"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",e642bbc2-d46f-4e65-b68f-eee632980227,, +,2026-02-06T09:18:09.692Z,2021: 3316.08 points.,93f1cc0a-f6fd-4002-ac96-c313b138fb13,"For the Korea Composite Stock Price Index (KOSPI) from 2020 to 2024, in which year was the annual high the greatest, and what was that highest value in points?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_240"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",93f1cc0a-f6fd-4002-ac96-c313b138fb13,, +,2026-02-06T09:18:09.693Z,"May 2024, June 2024, October 2024, December 2024, April 2025.",4ad8bc9e-43a9-4fe2-89d5-6ad1f44e15e9,"For the Nikkei 225 (N225.GI), which months from May 1, 2024, to April 30, 2025, inclusive, had positive monthly returns? (List year and month).","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_239"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",4ad8bc9e-43a9-4fe2-89d5-6ad1f44e15e9,, +,2026-02-06T09:18:09.694Z,"Deleted: +HL.L（Hargreaves Lansdown） +BLND.L（British Land Company) + +Added: +CCEP.L(Coca-Cola Europacific Partners) +BAB.L(Babcock International Group)",8efddacb-b2b4-43b3-a200-807be1d3f632,"In March 2025, which constituent stocks were deleted from the UK FTSE 100 index, and which were added? (List by ticker symbol).","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_238"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",8efddacb-b2b4-43b3-a200-807be1d3f632,, +,2026-02-06T09:18:09.695Z,"There are 97 companies. +The first place has 75.03 hundred million more shares than the second place. (Rounding errors are allowed)",7fb4abb5-3f5a-4a10-85bb-aebb269daadb,"As of April 30, 2025, among the S&P 500 constituents, how many companies have a market capitalization of USD 100 billion or greater, and by how many hundred million shares do the total outstanding shares of the company with the largest market capitalization exceed those of the company with the second-largest market capitalization (rounded to two decimal places)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_237"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",7fb4abb5-3f5a-4a10-85bb-aebb269daadb,, +,2026-02-06T09:18:09.696Z,"The Home Depot (1450.48%) +Colgate-Palmolive (1362.74%) +Verisk Analytics (957.24%) +(A margin of error of 1% is allowed.)",ff057107-c121-4d3c-afba-f00be5966949,"Based on their 2024 annual reports, what are the top three S&P 500 (SPX.GI) constituent companies by diluted Return on Equity (ROE)? Please list them in descending order, with ROE values rounded to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_236"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",ff057107-c121-4d3c-afba-f00be5966949,, +,2026-02-06T09:18:09.697Z,"GOOG Alphabet Inc. (Class C) +AMZN Amazon.com, Inc. +FTNT Fortinet, Inc. +DXCM DexCom, Inc. +TSLA Tesla, Inc.",b4c3042b-4543-4831-81e8-9022aff36b15,"Knowing that the Federal Reserve begins tapering on June 1, 2022, what are the S&P 500 (SPX.GI) constituents that have a total market capitalization (calculated by adding up the market capitalizations of the different types of shares on the basis of the market capitalization as of 2022.8.31) greater than the median and are among the top five decliners (without reweighting) during the period from June 1, 2022, to August 31, 2022? If there are two types of shares of the same company, the one with the higher market capitalization is used for calculation.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_235"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",b4c3042b-4543-4831-81e8-9022aff36b15,, +,2026-02-06T09:18:09.698Z,"1. Direxion Daily CSI 300 China Internet Index Bull 2X Shares: 12.10% +2. Direxion FTSE China Bull 3X ETF: 12.24% +3. GraniteShares Alibaba 2X Long ETF: 12.53%",d45417db-ddc0-47af-9c1c-ca4bdd31e909,"Among U.S. ETFs that rose more than 10% on October 1, 2024, select the top three with the highest unadjusted closing prices. List the names of these three ETFs and their respective percentage gains on that day.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_234"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",d45417db-ddc0-47af-9c1c-ca4bdd31e909,, +,2026-02-06T09:18:09.699Z,"70,000 shares",f642bdbb-017e-4fc3-907b-09cacc4d72cb,"Suppose Xiaoming initially has 200,000 shares of Tesla. From April 1st to April 30th, 2025, if the daily trading volume of Tesla is less than 80 million shares, he buys 10,000 shares; if the daily trading volume is more than 120 million shares, he sells 10,000 shares. How many shares of Tesla does Xiaoming have after April 30th?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_233"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",f642bdbb-017e-4fc3-907b-09cacc4d72cb,, +,2026-02-06T09:18:09.700Z,"-16.97% +Rounding errors are allowed.",5bfb66b6-7b42-405b-bee3-b26cba958034,"What is the percentage change (unweighted) on the day with the highest single-day trading volume for NVIDIA (NVDA) between January 1, 2025, and March 31, 2025? Please provide the result rounded to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_231"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",5bfb66b6-7b42-405b-bee3-b26cba958034,, +,2026-02-06T09:18:09.701Z,"PDD, 1183.87 billion USD. +Rounding errors are allowed.",84355b47-4e60-4126-8cc0-e76ebd0f9c6d,"Which constituent stock of the Nasdaq 100 Index (NDX.GI), with a Price-to-Earnings Trailing Twelve Months (PE-TTM) greater than 0 and less than 20 as of the market close on September 30, 2024, reported the largest operating revenue (consolidated financial statements, in billions of USD) in its 2024 interim report? Please provide the stock name and its operating revenue。Unit: billion USD, rounded to two decimal places。","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_230"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",84355b47-4e60-4126-8cc0-e76ebd0f9c6d,, +,2026-02-06T09:18:09.702Z,$358.64. Rounding errors are allowed.,7f2734c6-ba6b-4c6a-b7a2-feafb5de9f30,"What is the highest stock price of Tesla (including intraday price, using unadjusted prices) within the 10 trading days following Trump's victory in the 2024 election (excluding the election day itself)? Please provide the result rounded to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_229"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",7f2734c6-ba6b-4c6a-b7a2-feafb5de9f30,, +,2026-02-06T09:18:09.703Z,"190.69%. +Rounding errors are allowed.",5757bae6-8654-4211-beeb-659e34b3fc61,"Excuse me, what is the excess return (without reinstatement) of the stock with the highest increase over the stock with the lowest increase among the ""Magnificent 7"" in the United States throughout 2023? Keep the result to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_228"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",5757bae6-8654-4211-beeb-659e34b3fc61,, +,2026-02-06T09:18:09.704Z,"The peak date was March 29, 2022, and the trough date was June 16, 2022. +The maximum drawdown was 20.83%. +Rounding errors are allowed.",63579379-e956-4628-8384-6fb3749a2217,"After the Federal Reserve's first rate hike on March 16, 2022, what was the maximum drawdown of the S&P 500 Index over the following three months (i.e., from March 16 to June 16, 2022)? Please provide the date range during which this maximum drawdown occurred, as well as the drawdown percentage (rounded to two decimal places).","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_227"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",63579379-e956-4628-8384-6fb3749a2217,, +,2026-02-06T09:18:09.705Z,"Arm Holdings plc ADR (ARM), +Warner Bros. Discovery(WBD), +Ferrovial SE. (FER)",38ec312c-c70f-434e-8b17-96324ec6a8d7,"Among all NASDAQ stocks, which three companies had the highest market capitalization on their initial public offering (IPO) day among new listings from 2022 to 2024 (based on daily closing prices)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_226"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",38ec312c-c70f-434e-8b17-96324ec6a8d7,, +,2026-02-06T09:18:09.706Z,"1. 2023/1/10-2023/1/14 +2. 2024/2/24-2024/2/28",794f9364-831e-47d5-b014-f9915a95329e,"Analyze the daily closing prices of BTC/USD from for the period from January 1, 2023, to May 20, 2025. +Identify and count the instances where the price met both of the following conditions: +1. A consecutive increase for 5 days (i.e., each day's closing price was higher than the previous day's). +2. The total percentage increase over this 5-day period was greater than 20%. +For each identified instance, please provide the dates of the 5 consecutive days.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_225"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",794f9364-831e-47d5-b014-f9915a95329e,, +,2026-02-06T09:18:09.707Z,"2022: 48.35% higher; +2023: 53.45% higher; +2024: 54.07%higher +Rounding errors are allowed.",0adfd8c3-7d02-49ec-8512-0a07b809f1bd,"By how much is Eli Lilly's liability-to-asset ratio higher or lower than Google's liability-to-asset ratio for the 2022-24 fiscal year? (Using US GAAP, retain two decimal places in the calculation)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_224"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",0adfd8c3-7d02-49ec-8512-0a07b809f1bd,, +,2026-02-06T09:18:09.708Z,"22.19% +Rounding errors are allowed.",4c9520ad-83ce-4eb5-a365-1c9b68a2a6c4,"What is the highest return on invested capital (TTM) of UnitedHealth in the past five years (from 2020 to 2024)? (Calculated based on quarterly reports +, rounded to two decimal places)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_223"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",4c9520ad-83ce-4eb5-a365-1c9b68a2a6c4,, +,2026-02-06T09:18:09.709Z,"Annual change in percentage of revenue for 2022-2024: +2022: -0.88% +2023: -3.37% +2024: -2.09% +Rounding errors are allowed.",7f4703ca-aa24-4e2d-9fb2-30a5498f0814,"What is the year-over-year change in the proportion of Johnson & Johnson's revenue from international markets (excluding the United States) for each of the past three years (2022–2024)? + Please provide the change in percentage points, rounded to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_222"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",7f4703ca-aa24-4e2d-9fb2-30a5498f0814,, +,2026-02-06T09:18:09.710Z,"2023: 22.95% +2022: -16.64% +2021: 13.57% +2020: 6.19% +Rounding errors are allowed.",920bdf1e-213d-4171-80b2-8882754151bc,"What is the year-over-year growth rate (%) of Oracle's total assets for each fiscal year from 2020 to 2023 (using U.S. GAAP, rounded to two decimal places)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_221"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",920bdf1e-213d-4171-80b2-8882754151bc,, +,2026-02-06T09:18:09.711Z,"The turnover rate was 0.55%. +Rounding errors are allowed.",6b979671-875c-4eff-bb16-21e5a3f1214b,What was Pfizer's turnover rate on the day it agreed to pay approximately $60 million to settle false claims allegations?Answer in percentage，rounded to two decimal places.,"{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_220"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",6b979671-875c-4eff-bb16-21e5a3f1214b,, +,2026-02-06T09:18:09.712Z,"22：Vaxcyte +23：Affirm Holdings +24：Applovin",36487df4-34cd-47f7-952a-d1fb2032cd7b,"Among companies with a total market capitalization exceeding USD 10 billion on January 6, 2025 (calculated by summing the market capitalizations of different share classes, i.e., the product of the price and number of shares for each class), identify the stocks with the highest annual return relative to the Nasdaq Composite Index for each of the years 2022, 2023, and 2024.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_219"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",36487df4-34cd-47f7-952a-d1fb2032cd7b,, +,2026-02-06T09:18:09.713Z,"Nvidia, PE-TTM of 36.37 (A marginal of error of 0.1 is allowed.)",1f3de4d4-3465-4491-9c8c-f842f8e02a06,"Please find the component stock of the Dow Jones Industrial Average with a market capitalization (calculated as the sum of share prices in each market multiplied by the corresponding number of shares in that market) exceeding $1,000 billion as of the close on March 31, 2025, and having the highest PE-TTM (with the benchmark date being the report closing date). Please output the stock name and PE-TTM, rounded to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_218"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",1f3de4d4-3465-4491-9c8c-f842f8e02a06,, +,2026-02-06T09:18:09.714Z,"TSLA Tesla 17,477.42 ten thousand of shares. +Rounding errors are allowed.",2c68a639-a07c-4da2-a849-541af2bdfcee,"During the period from January 1, 2023, to March 31, 2023, which constituent stock of the Nasdaq 100 (NDX.GI) had the highest average daily trading volume (in tens of thousands of shares, rounded to two decimal places)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_217"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",2c68a639-a07c-4da2-a849-541af2bdfcee,, +,2026-02-06T09:18:09.715Z,0.80%. Rounding errors are allowed,431193cd-993f-42b4-9f3d-7cae85f30046,"Excuse me, on December 31, 2024, among the three indices, the Nasdaq 100 (NDX.GI), the S&P 500 (SPX.GI), and the Dow Jones Industrial Average (DJI.GI), how much higher is the increase (or lower is the decrease) of the index with the highest increase (or the lowest decrease) than that of the index with the lowest increase (or the highest decrease)? Round the result to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_216"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",431193cd-993f-42b4-9f3d-7cae85f30046,, +,2026-02-06T09:18:09.716Z,"2023: -19.39% +2022: -25.07% +2021: 59.62% +2020: -15.78%",c1f2a44c-815a-4417-8ba6-b58bf1b41f98,What is the annual growth rate of ExxonMobil's chemicals sales and other operating revenue for each year from 2020 to 2023?,"{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_215"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",c1f2a44c-815a-4417-8ba6-b58bf1b41f98,, +,2026-02-06T09:18:09.717Z,"Decreased by 10,708 million dollars. +Rounding errors are allowed.",ace654c1-9f98-482a-ac61-685e0c9f8f44,"By how much did the Amazon's net cash flow from financing activities increase/decrease in 2024 compared to 2020? (Use US GAAP, in million of USD, and round to the nearest integer.)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_214"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",ace654c1-9f98-482a-ac61-685e0c9f8f44,, +,2026-02-06T09:18:09.718Z,"increase -901 million usd +Rounding errors are allowed.",bee2b1fe-95da-4ddb-93ca-15254288db45,"By how much did Walmart's goodwill increase from the end of fiscal year 2022 to the end of fiscal year 2024 (under US GAAP, in million USD, rounded to the nearest integer)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_213"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",bee2b1fe-95da-4ddb-93ca-15254288db45,, +,2026-02-06T09:18:09.719Z,"475 +Rounding errors are allowed.",4e4ed803-48a0-487d-a1e4-19f191caec81,"In March 2025, Jerome Powell delivered a speech at the University of Chicago Booth School of Business. On that day, what was the difference between the highest and lowest points of the Nasdaq Index? (Round to the nearest whole number)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_212"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",4e4ed803-48a0-487d-a1e4-19f191caec81,, +,2026-02-06T09:18:09.720Z,"4.47% +Rounding errors are allowed.",71c7e6de-a47e-42d8-8f57-3c715aae76b5,"What is the percentage change (not adjusted for splits or dividends, rounded to two decimal places) of AMD over the ten trading days following the annoucement of NVIDIA's H200 chip (excluding the annoucement day)?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_211"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",71c7e6de-a47e-42d8-8f57-3c715aae76b5,, +,2026-02-06T09:18:09.721Z,"VST 257.92% +UAL 135.34% +GEV 134.95% +(Rounding errors are allowed.)",9013820e-e977-46c6-94e6-27351eb0ff57,Help me search for the top three stocks in the S&P 500 index with the highest annual growth (unadjusted for splits or dividends) for the entire year of 2024 (from January 1 to December 31). Please rank them in descending order of growth and retain two decimal places for the growth percentages.,"{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_210"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",9013820e-e977-46c6-94e6-27351eb0ff57,, +,2026-02-06T09:18:09.722Z,"Trading volume: 4589 (in units of 10,000 shares) +Trading value: $7,341,090,562",3dc4de2e-f5e3-4085-9593-af56c9134bb6,"On April 24, 2025 (US time), Google released its first-quarter earnings. On that day, what were the trading volume (in units of 10,000 shares) and the trading value (in US dollars) for Google Class A (GOOGL) stock? Please provide both figures as integers.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_209"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",3dc4de2e-f5e3-4085-9593-af56c9134bb6,, +,2026-02-06T09:18:09.723Z,"Ranked first is Amazon, ticker symbol AMZN +Ranked fifth is Microsoft, ticker symbol MSFT",a8e86674-76ff-4d99-9a6c-2ad43b10fb8d,"Among all NASDAQ-listed stocks where the net income attributable to parent company shareholders for the full year 2024 is greater than 50 billion USD, please identify the stock names and ticker symbols of those ranking first and fifth in terms of total revenue (in USD) for 2024.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_208"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",a8e86674-76ff-4d99-9a6c-2ad43b10fb8d,, +,2026-02-06T09:18:09.724Z,"Opening price: 8314.00 AUD +Closing price: 8309.40 AUD +Percentage change: -0.06% +Rounding errors are allowed.",edb44a85-53c1-4b89-9a8e-031df0da4c26,"What were the opening and closing prices of the S&P/ASX 200 Index (AS51) in Australia on December 18, 2024? What was the percentage change? Please round the answers to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_207"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",edb44a85-53c1-4b89-9a8e-031df0da4c26,, +,2026-02-06T09:18:09.725Z,"During fiscal 2022-2024, AMD's lowest GAAP gross margin for a single quarter occurred in 2022Q3 at 42.30%. +In the same quarter,Intel's GAAP gross margin was 42.61%, which is not its lowest quarterly gross margin during this period. +Rounding errors are allowed.",2e16bb81-1ac6-44c1-b850-5e2dd5786c8d,"Within the 2022-2024 fiscal years, which quarter of AMD had the lowest GAAP gross margin? What was it? At the same time, what was Intel's GAAP gross margin for that quarter? Was it the lowest quarterly GAAP gross margin in its 2022-2024 fiscal years?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_205"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",2e16bb81-1ac6-44c1-b850-5e2dd5786c8d,, +,2026-02-06T09:18:09.726Z,"1.Check Point Software Technologies Ltd（CHKP） +2.O'Reilly Automotive Inc.(ORLY)",866ebb7c-95e8-4f0d-92f9-5330ade22eae,"Among all Nasdaq-listed stocks, please help me filter companies with strong historical performance based on the following criteria: +1. Both year-over-year (YoY) revenue growth and YoY net income attributable to shareholders growth are greater than 0% but less than 10% for both 2023 and 2024; +2. As of January 1, 2025, the company’s total market capitalization exceeds USD 1 billion, calculated by summing the market capitalizations of different share classes (i.e., the product of the price and number of shares for each class); +3. From January 1, 2025, to April 30, 2025, the stock outperformed the Nasdaq Index by more than 20%. + +If any companies meet all of the above criteria, please provide their names and ticker symbols.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_203"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",866ebb7c-95e8-4f0d-92f9-5330ade22eae,, +,2026-02-06T09:18:09.727Z,Fourth quarter>Third quarter>Second quarter>First quarter,a1b55452-1be2-4098-b84c-0de46c116b0c,Please sort the average yield to maturity of Japanese one-year treasury bond in each quarter of 2024. (The quarters with higher average returns are in the top),"{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_202"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",a1b55452-1be2-4098-b84c-0de46c116b0c,, +,2026-02-06T09:18:09.728Z,"6.51% +Rounding errors are allowed.",a5fdbf37-269d-4757-aff0-df1b434b1315,"What was the year-over-year (YoY) percentage growth in U.S. fixed asset investment in 2023 compared to 2022? (Fixed asset investment refers to expenditure on the purchase or construction of long-term tangible assets, such as buildings, machinery, and equipment, used in the production of goods and provision of services.) The percentage growth should be accurate to two decimal places, and any monetary values should be expressed in billions of U.S. dollars.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_201"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",a5fdbf37-269d-4757-aff0-df1b434b1315,, +,2026-02-06T09:18:09.729Z,"Highest point: 450.50 million of tons in 2015; Lowest point: 334.93 million of tons in 2020; Difference: 115.57 million of tons. +Scoring criteria: A marginal error of 1% is allowed, but the corresponding years for the highest and lowest points must be correct.",16a702e7-89d5-4a17-bbad-0c3bdd073774,"According to EIA statistics, what are the highest and lowest carbon dioxide emissions from energy consumption in the UK since 2015? What years do they correspond to? What is the difference between the two? The unit needs to be converted to millions of tons, and the result should be rounded to two decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_200"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",16a702e7-89d5-4a17-bbad-0c3bdd073774,, +,2026-02-06T09:18:09.730Z,"The year-on-year increase is 61.95%. +Scoring points: The values of the total market capitalization on the last trading days of the two years should be consistent. +Rounding errors are allowed.",2521cd69-b702-4544-bdcb-152822325b6b,"Since 2020, the number of COVID - 19 deaths in the United States has risen sharply. What is the year - on - year percentage increase in the total market value of Pfizer Inc. (PFE) on the last trading day of 2021 compared with that on the last trading day of 2020? The result should be rounded to two decimal places, and the unit of the total market value should be in ""hundred million US dollars"" during the calculation process.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_199"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",2521cd69-b702-4544-bdcb-152822325b6b,, +,2026-02-06T09:18:09.731Z,"Nvidia increased by 13.79 US dollars. +Apple decreased by -3.07 US dollars. +Tesla decreased by -68.83 US dollars. +Rounding errors are allowed.",34ba09b5-01f6-44d4-a5a6-95019e521799,"Following Tesla's announcement on January 8, 2021, that it had successfully achieved a major breakthrough in autonomous driving technology, what were the respective changes in US dollars (increase or decrease) to the closing stock prices of Tesla, Apple, and Nvidia in the US stock market on the next trading day (January 11, 2021), compared to their closing prices on January 8, 2021（based on un +adjusted prices）? Please sort these companies by their percentage stock price change in descending order.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_111"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",34ba09b5-01f6-44d4-a5a6-95019e521799,, +,2026-02-06T09:18:09.732Z,"2025.03.03 -14.66% +2025.04.06 -12.47% +2025.02.24 -10.96% +2025.03.02 +13.56% +2025.04.09 +13.30% +2025.04.22 +11.18% +Rounding errors are allowed.",2ee0de2c-81f0-4fe3-8e7d-a9e4f0d45fc0,"Please summarize the dates between January 1, 2025, and April 30, 2025, when the daily price fluctuation (comparison of opening and closing prices, either increase or decrease) of Ethereum (ETH)in USD exceeded 10% on the Binance trading platform, and present the data in a table sorted by the magnitude of the price fluctuation in ascending order.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_110"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",2ee0de2c-81f0-4fe3-8e7d-a9e4f0d45fc0,, +,2026-02-06T09:18:09.733Z,"May 31, 2024: $9010.30 (a decrease of 1.61%) +May 30, 2024: $9157.32 (an increase of 2.21%) +Rounding errors are allowed.",8ff8871f-d1fd-4898-b883-2767dcdb719e,"Please help me find the closing prices and percentage changes (based on closing prices) for the S&P Bitcoin Index (SPBTC) on May 30, 2024, and May 31, 2024.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_063"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",8ff8871f-d1fd-4898-b883-2767dcdb719e,, +,2026-02-06T09:18:09.734Z,"Peak Date: 2025-04-08 +Percentage Drop: 45.63% +Rounding errors are allowed.",dacc496e-ebc4-43ff-bf06-dabe896b5354,"On which day did the VIX index peak between March 10, 2024 and May 16, 2025? How much did the closing price drop (as compared to the peak price 10 days ago)? (Take absolute value and keep two decimal places)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_060"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",dacc496e-ebc4-43ff-bf06-dabe896b5354,, +,2026-02-06T09:18:09.735Z,253.97. Rounding errors are allowed,63c3b4b9-09e4-4c39-ad9c-0a0908d76f25,"What is the average volatility (20-day standard deviation) of the closing price spread between the Nasdaq Composite Index and the S&P 500 from October 1, 2020, to May 9, 2025? (Round the result to two decimal places.)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_050"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",63c3b4b9-09e4-4c39-ad9c-0a0908d76f25,, +,2026-02-06T09:18:09.736Z,"The stock price (unadjusted) changed by -$371.65. +The split ratio was 4:1.",1d31ae45-0b36-4671-8fd9-0ea5d822f1d7,"What was the change in opening price compared to the previous closing price (in dollars, unadjusted) on the effective date of Apple Inc.'s (AAPL) most recent stock split? What was the split ratio? (Round to two decimal places)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_047"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",1d31ae45-0b36-4671-8fd9-0ea5d822f1d7,, +,2026-02-06T09:18:09.737Z,"Bank of America: 0.58%,Wells Fargo: -0.21%. +(Rounding errors are allowed) +Bank of America experienced a larger magnitude of percentage change.",5123b053-786d-4eb5-8a97-b5022802493e,"On February 2, 2023, the day of the Federal Reserve's first interest rate hike in 2023, what were the respective closing stock price percentage changes for Bank of America and Wells Fargo? Which bank experienced a larger magnitude of percentage change in its stock price on that day? (Figures should be rounded to two decimal places.)(unadjusted for splits or dividends)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_046"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",5123b053-786d-4eb5-8a97-b5022802493e,, +,2026-02-06T09:18:09.738Z,"Boeing: -0.62%, Lockheed Martin: +0.32%. Scoring points: Rounding errors are allowed.",ede8d6f6-bb59-4f98-b6a8-0e8307937216,"On June 6, 2024, SpaceX completed its fourth Starship test flight. On the following trading day (i.e., June 7), what percentage did the stock prices of Boeing and Lockheed Martin fall in the US stock market (with two decimal places retained, and stock prices not adjusted for splits and dividends)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_037"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",ede8d6f6-bb59-4f98-b6a8-0e8307937216,, +,2026-02-06T09:18:09.739Z,"| Date | Decline(USD) | +|------------|-------| +| 2020/8/11 | -116 | +| 2020/11/9 | -88 | +| 2024/6/7 | -83 | +| 2024/11/6 | -85 | +| 2024/11/25 | -88 | +Rounding errors are allowed, no points should be deducted for an incorrect sign (positive/negative)like 116 vs -116",60e8236d-79ef-458b-af42-c75f79e3131a,"What were the specific dates from January 1, 2020, to December 31, 2024, when London Gold (XAUUSD) dropped by more than $80 in a single day? Please list these dates and the corresponding daily drop in USD (rounded to the nearest integer), presented in a table sorted by date in ascending order.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_024"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",60e8236d-79ef-458b-af42-c75f79e3131a,, +,2026-02-06T09:18:09.740Z,"April 2020 (12.68%), an error of 0.1% is allowed",8bc2277b-c99e-42be-917b-888826d90773,"From January 2010 to April 2025, in which month did the S&P 500 index experience the largest single-month increase? What was the percentage increase that month? (Unit: %, rounded to two decimal places)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_023"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",8bc2277b-c99e-42be-917b-888826d90773,, +,2026-02-06T09:18:09.741Z,"MSFT 2.117 +AAPL 2.021 +NVDA 1.779 +GOOG 0.995 +GOOGL 0.976 +AMZN 0.790",0d88feb2-0422-407e-bd80-e358b9e9248b,"As of July 1, 2024, which companies listed on the NASDAQ in the United States have a market capitalization (Calculated by suming of the number of shares in each market multiplied by the stock price in each market ) higher than Meta (stock ticker: META), and by how much is their market capitalization higher than Meta's Represent the companies using their stock tickers, and express market capitalization in trillions of dollars (T), rounded to three decimal places.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_021"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",0d88feb2-0422-407e-bd80-e358b9e9248b,, +,2026-02-06T09:18:09.742Z,Ukraine,c2e7c6c4-07a4-4f7f-bfdb-0c5f162b8081,"Among the countries in Europe, which country had the lowest per capita GDP (current US dollars) in 2023?","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_018"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",c2e7c6c4-07a4-4f7f-bfdb-0c5f162b8081,, +,2026-02-06T09:18:09.743Z,"A loss of $16,851.7 +A marginal error of 1% is allowed.",b52c566b-d9b2-457e-9fb8-8625be6adb9f,"Please calculate how many US dollars of profit or loss (rounded to one decimal place) would be obtained by following these steps for three consecutive years starting from 2020: based on the BTC/USD quotes provided by the Binance exchange (using Beijing time as the trading time), buy 1 Bitcoin at the opening price on the first trading day of each year and sell it at the highest price on June 30th of the same year.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_017"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",b52c566b-d9b2-457e-9fb8-8625be6adb9f,, +,2026-02-06T09:18:09.744Z,"China has the lowest proportion of girls. +The ratio of male to female newborns: 110.8:100 +A marginal error of 0.1:100 is allowed.",62cbf27b-a539-46f0-92fd-6359d717610e,"In 2023, among the newborns in the United States, Canada, and China, according to data from the Population Division of United Nations, which country has the lowest proportion of girls? What is the ratio of male to female newborns in that country to 100? (Round to one decimal place, for example, 123.4:100)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_015"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",62cbf27b-a539-46f0-92fd-6359d717610e,, +,2026-02-06T09:18:09.745Z,"Date: January 25, 2024 +Difference: 181 calander days",23fbbdca-5fbc-4523-a1cc-5a05f53965ad,"Today is July 24, 2024, and Tesla's (TSLA) stock price has fallen by 12%. +During the period from January 1, 2024, to July 24, 2024, what was the most recent date (closest to July 24, 2024) when Tesla's stock price experienced a daily drop of more than 10%? +How many calander days are there between that date and July 24, 2024? +(Please base calculations on non-adjusted prices.)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_011"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",23fbbdca-5fbc-4523-a1cc-5a05f53965ad,, +,2026-02-06T09:18:09.746Z,"BRK_A-0.17%, +BRK_B-0.30%, +TSM-0.31%",ebb07fe8-bc84-477d-b5af-f475bfe35e05,"Summarize the top 3 US stocks by market capitalization listed on the NYSE for August 12, 2024 (US time), that had an unadjusted closing percentage gain of no more than 4%, sorted by this gain in ascending order.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_010"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",ebb07fe8-bc84-477d-b5af-f475bfe35e05,, +,2026-02-06T09:18:09.747Z,"421,852 shares. +A marginal error of 10 shares is allowed.",593aa3b0-ba83-468e-8bdf-cdb1c7b218f9,"Assuming that when Dr. Kaiming He graduated, Microsoft (MSFT) granted him $10M worth of stock at the lowest closing price of that year (non-adjusted for splits), what is the maximum number of Microsoft shares he could have received? Round the answer to the nearest whole number.","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_006"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",593aa3b0-ba83-468e-8bdf-cdb1c7b218f9,, +,2026-02-06T09:18:09.748Z,167,df6360ae-d5a6-4719-81c9-5da06b46024d,"Among the East Asian countries except North Korea, from the year when the COVID - 19 virus emerged to the year when the first Olympic Games were held after the emergence of the COVID - 19 virus, what is the sum of the values of the international telephone area codes of the country with the largest increase rate and the country with the smallest increase rate in per capita GDP? (The per capita GDP is based on the current - price US dollar data of the World Bank and is in US dollars; the international telephone area code of China is based on that of the Chinese mainland.)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_005"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",df6360ae-d5a6-4719-81c9-5da06b46024d,, +,2026-02-06T09:18:09.749Z,$0.23 lower,0d16f328-7945-4364-8cb3-4976c315a816,"How many dollars did Apple's (AAPL) stock price (unadjusted) open higher (or lower) the day after Samsung's launch event for its first consumer-available foldable smartphone in San Francisco? (Calculate the difference between the opening price on the next day and the closing price on the day of the event, accurate to two decimal places, using local time for each.)","{""akshare_ticker"":null,""ground_truth"":null,""judge_prompt_template"":"":\n{prompt}\n\n:\n{response_reference}\n\n:\n{response}"",""judge_system_prompt"":""You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with \""Scoring Criteria\"". You need to evaluate the and complete the following tasks:\n\n1. Based on the content of the , accurately identify its final answer (identification only, no need to output). You can identify the position and content of the final answer by analyzing the or by searching for keywords, including but not limited to \""the answer is,\"" \""the final result is,\"" \""the correct option is,\"" etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and 3 below.\n2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results).\n3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or 0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted.\n\n**Notes:**\n\n1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and score.\n2. The is accurate and correct. You can fully trust it.\n3. If the contains 2 or more key points, such as a person's name and a number, an item and a time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and all of them are correct. If only a portion of the key points are provided or are correct, the score is 0.\n4. If the is empty or an abnormal error message, please assign a score of 0.\n5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs 0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use different formats but the underlying numbers represent the same value, they are considered consistent.\n6. An answer is deemed correct if its numerical component matches the , even if the unit is omitted. For example, if the asks for \""xx revenue in billions of yuan\"", a of \""12.98\"" is a valid match for the \""12.98 billion yuan\"". Similarly, if the required unit is specified as \""%\"" and the is \""12.98%\"", a of \""12.98\"" is also a valid match.\n\n**Regarding your output format:**\nYou need to first output the evaluation result, then provide the scoring basis and the score. Your output format is:\n\n- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens)\n- JSON:\n ```\n {\""answer_score\"": your score}\n ```\n\n###\n**Example 1**\n:\nWhat is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round to one decimal place)\n:\n27.9 years\nScoring Criteria:\nThe number in the Student Answer must be strictly identical to the number in the Reference Answer.\n:\nBased on known information, the average time for the current presidents of C9 League universities to become a president for the first time after their PhD is approximately 27.3 years. Here is the specific calculation:\n1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years.\n2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years.\n3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years.\n4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years.\n5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years.\n6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap of 26 years.\n7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years.\n8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years.\n9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years.\nSumming the years:\n30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246\nAverage time:\n246 ÷ 9 ≈ 27.3 years\nTherefore, on average, it took these presidents approximately 27.3 years to become a university president for the first time after their PhD.\n- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly identical to the number in the Reference Answer. Here, the number in the is not strictly identical to the number in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 2**\n:\nAn interesting aspect of the United States is that a state's political center is often not its economic center. For example, the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the provinces in China where the city with the highest GDP within the province is not the provincial capital.\n:\nHebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province\nScoring Criteria:\nThe student's answer must list all the provinces from the reference answer and no other provinces.\n:\nAccording to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest GDP is not the provincial capital include:\n1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang.\n2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang.\n3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin.\n4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing.\n5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou.\n6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan.\n7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou.\nThese provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic development patterns.\n- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\n**Example 3**\n:\nHow many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names?\n:\n1, Benu\n:\nAmong San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the wording is different from the , the meaning is the same. Therefore, the is correct, and the score is 1.\n- JSON:\n ```\n {\""answer_score\"": 1}\n ```\n\n###\n**Example 4**\n:\nIn terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the difference in square kilometers?\n:\nIt is closest to Kunming, with a difference of about 740 square kilometers.\n:\nThe total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square kilometers.\n- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming as being closest in area to Slovenia, which is consistent with the . However, the area difference of \""1827 square kilometers\"" given in the is inconsistent with \""about 740 square kilometers\"" in the . Therefore, the is incorrect, and the score is 0.\n- JSON:\n ```\n {\""answer_score\"": 0}\n ```\n\n###\nI hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. Otherwise, I may penalize you."",""label"":""Complex_Historical_Investigation(Global)"",""prompt_id"":""(T3)Complex_Historical_Investigation_001"",""response_reference_translate"":null,""time"":null,""wind_ticker"":null,""yfinance_ticker"":null}",0d16f328-7945-4364-8cb3-4976c315a816,, diff --git a/src/evals/configs/datasets.py b/src/evals/configs/datasets.py index b4b3bc7..680af35 100644 --- a/src/evals/configs/datasets.py +++ b/src/evals/configs/datasets.py @@ -3,10 +3,12 @@ import pandas as pd +from evals import constants from evals.processing.evaluate_answer import AnswerGrader evaluator = AnswerGrader() +fin_search_evaluator = AnswerGrader(model=constants.FIN_SEARCH_GRADER_MODEL) @dataclass @@ -42,4 +44,16 @@ class Dataset: grader=evaluator.evaluate_single_simpleqa, df=None, ), + Dataset( + dataset_name="fin_search_comp_t2_global", + csv_path="data/fin_search_comp_t2_global.csv", + grader=fin_search_evaluator.evaluate_single_fin_search, + df=None, + ), + Dataset( + dataset_name="fin_search_comp_t3_global", + csv_path="data/fin_search_comp_t3_global.csv", + grader=fin_search_evaluator.evaluate_single_fin_search, + df=None, + ), ] diff --git a/src/evals/configs/samplers.py b/src/evals/configs/samplers.py index 49d7072..4d48100 100644 --- a/src/evals/configs/samplers.py +++ b/src/evals/configs/samplers.py @@ -2,11 +2,22 @@ from youdotcom.models import ResearchEffort -from evals.samplers.applied_samplers.exa_sampler import ExaSampler +from evals.samplers.applied_samplers.exa_sampler import ExaResearchSampler, ExaSampler from evals.samplers.applied_samplers.google_sampler import GoogleSampler -from evals.samplers.applied_samplers.parallel_sampler import ParallelSearchSampler -from evals.samplers.applied_samplers.tavily_sampler import TavilySampler +from evals.samplers.applied_samplers.parallel_sampler import ( + ParallelSearchSampler, + ParallelTaskSampler, +) +from evals.samplers.applied_samplers.perplexity_sampler import ( + PerplexityDeepSearchSampler, + PerplexityFinanceSearchSampler, +) +from evals.samplers.applied_samplers.tavily_sampler import ( + TavilyResearchSampler, + TavilySampler, +) from evals.samplers.applied_samplers.you_search_sampler import ( + YouFinanceResearchSampler, YouLivecrawlSampler, YouResearchSampler, YouSearchSnippetsSampler, @@ -47,11 +58,30 @@ api_key=os.getenv("YOU_API_KEY"), include_news_results=False, ), + # You.com finance research samplers + YouFinanceResearchSampler( + sampler_name="you_finance_research_deep", + api_key=os.getenv("YOU_API_KEY"), + research_effort="deep", + timeout=300, + ), + YouFinanceResearchSampler( + sampler_name="you_finance_research_exhaustive", + api_key=os.getenv("YOU_API_KEY"), + research_effort="exhaustive", + timeout=600, + ), ExaSampler( sampler_name="exa_search_with_text", api_key=os.getenv("EXA_API_KEY"), text={"max_characters": 20000}, ), + ExaResearchSampler( + sampler_name="exa_research_pro", + api_key=os.getenv("EXA_API_KEY"), + research_model="exa-research-pro", + timeout=3000, + ), GoogleSampler( sampler_name="google_search", api_key=os.getenv("SERP_API_KEY"), @@ -60,6 +90,19 @@ sampler_name="parallel_search_one_shot", api_key=os.getenv("PARALLEL_API_KEY"), mode="one-shot", + num_results=10, + ), + ParallelTaskSampler( + sampler_name="parallel_pro", + api_key=os.getenv("PARALLEL_API_KEY"), + processor="pro", + timeout=3000, + ), + ParallelTaskSampler( + sampler_name="parallel_ultra", + api_key=os.getenv("PARALLEL_API_KEY"), + processor="ultra", + timeout=3000, ), TavilySampler( sampler_name="tavily_basic", @@ -71,4 +114,38 @@ api_key=os.getenv("TAVILY_API_KEY"), search_depth="advanced", ), + TavilyResearchSampler( + sampler_name="tavily_research_pro", + api_key=os.getenv("TAVILY_API_KEY"), + research_model="pro", + timeout=3000, + ), + PerplexityFinanceSearchSampler( + sampler_name="perplexity_finance_historical_lookup", + api_key=os.getenv("PERPLEXITY_API_KEY"), + model="openai/gpt-5.5", + max_steps=5, + max_tokens=2048, + include_web_search=True, + include_fetch_url=True, + reasoning_effort="low", + timeout=120, + ), + PerplexityFinanceSearchSampler( + sampler_name="perplexity_finance_multi_step_research", + api_key=os.getenv("PERPLEXITY_API_KEY"), + model="anthropic/claude-opus-4-7", + max_steps=10, + max_tokens=4096, + include_web_search=True, + include_fetch_url=True, + timeout=180, + ), + PerplexityDeepSearchSampler( + sampler_name="perplexity_sonar_deep_research_high", + api_key=os.getenv("PERPLEXITY_API_KEY"), + model="sonar-deep-research", + search_effort="high", + timeout=3000, + ), ] diff --git a/src/evals/constants.py b/src/evals/constants.py index 228b4ce..5d4f61f 100644 --- a/src/evals/constants.py +++ b/src/evals/constants.py @@ -1,6 +1,7 @@ # We used a weaker model for synthesis and a stronger model for grading to ensure fairness. SYNTHESIS_MODEL = "gpt-5.4-nano" GRADER_MODEL = "gpt-5.4-mini" +FIN_SEARCH_GRADER_MODEL = "gpt-5-mini" # Maximum tokens available for search results (optimized for gpt-5.4-nano and leaving room for prompt and response) MAX_SEARCH_RESULT_TOKENS = 265000 @@ -195,6 +196,159 @@ -------------------- Rating:""".strip() +# Prompt is the original FinSearchComp scoring prompt from https://arxiv.org/pdf/2509.13160 +FIN_SEARCH_GRADER_TEMPLATE = """ +You are an intelligent judge and scorer for answers to financial questions. You will receive a , its , and a . Some s may be supplemented with "Scoring Criteria". You +need to evaluate the and complete the following tasks: +1. Based on the content of the , accurately identify its final answer (identification only, +no need to output). You can identify the position and content of the final answer by analyzing the +or by searching for keywords, including but not limited to "the answer is," "the final result is," "the correct option is," +etc. If the is empty, meaning it contains no content, assign a score of 0 directly and skip steps 2 and +3 below. +2. Separately list the final answer from the and the final answer you identified from the , and compare the two (no need to output the listing and comparison process or results). +3. Based on the result of the comparison and any Scoring Criteria that may be provided with the , judge whether the is correct and assign a score. The score can only be 1 or +0; 1 indicates the is correct, and 0 indicates it is incorrect. No scores other than 0 and 1 are permitted. +**Notes:** +1. You do not need to and should not answer or solve the question yourself. Your sole task is to judge and +score. +2. The is accurate and correct. You can fully trust it. +3. If the contains 2 or more key points, such as a person's name and a number, an item and a +time, or multiple parallel locations, the can only receive 1 point if it provides all the key points and +all of them are correct. If only a portion of the key points are provided or are correct, the score is 0. +4. If the is empty or an abnormal error message, please assign a score of 0. +5. Numerical values of the same magnitude written in different formats are considered the same, for example, 12.45% vs +0.1245, or 120,400,000 vs 120.4 million, or 2/5 vs 0.4. If the and the use +different formats but the underlying numbers represent the same value, they are considered consistent. +6. An answer is deemed correct if its numerical component matches the , even if the unit is +omitted. For example, if the asks for "xx revenue in billions of yuan", a of "12.98" is a +valid match for the "12.98 billion yuan". Similarly, if the required unit is specified as "%" and the + is "12.98%", a of "12.98" is also a valid match. +**Regarding your output format:** +You need to first output the evaluation result, then provide the scoring basis and the score. Your output format is: +- Scoring Basis: (Briefly state your reason for the score, not exceeding 150 words or 150 tokens) +- JSON: +``` +{{"answer_score": your score}} +``` +### +**Example 1** +: +What is the average number of years it took for the C9 League university presidents who spoke at the 2024 graduation +ceremonies to become a president of a university for the first time after receiving their PhD? (Calculate in years, round +to one decimal place) : +27.9 years +Scoring Criteria: +The number in the Student Answer must be strictly identical to the number in the Reference Answer. +: +Based on known information, the average time for the current presidents of C9 League universities to become a president +for the first time after their PhD is approximately 27.3 years. Here is the specific calculation: +1. Peking University: President Gong Qihuang, PhD in 1992, became president in 2022, a gap of 30 years. +2. Tsinghua University: President Wang Xiqin, PhD in 1996, became president in 2022, a gap of 26 years. +3. Fudan University: President Jin Li, PhD in 1994, became president in 2021, a gap of 27 years. +4. Shanghai Jiao Tong University: President Ding Kuiling, PhD in 1990, became president in 2021, a gap of 31 years. +5. Nanjing University: President Lü Jian, PhD in 1993, became president in 2018, a gap of 25 years. +6. University of Science and Technology of China: President Bao Xinhe, PhD in 1991, became president in 2017, a gap +of 26 years. +7. Xi'an Jiaotong University: President Wang Shuguo, PhD in 1986, became president in 2014, a gap of 28 years. +8. Zhejiang University: President Wu Zhaohui, PhD in 1993, became president in 2015, a gap of 22 years. +9. Harbin Institute of Technology: President Han Jiecai, PhD in 1991, became president in 2022, a gap of 31 years. +Summing the years: +30 + 26 + 27 + 31 + 25 + 26 + 28 + 22 + 31 = 246 +Average time: +246 ÷ 9 = 27.3 years +Therefore, on average, it took these presidents approximately 27.3 years to become a university president for the first +time after their PhD. +- Scoring Basis: This question has Scoring Criteria, which require the number in the Student Answer to be strictly +identical to the number in the Reference Answer. Here, the number in the is not strictly identical to +the number in the . Therefore, the is incorrect, and the score is 0. +- JSON: +``` +{{"answer_score": 0}} +``` +### +**Example 2** +: +An interesting aspect of the United States is that a state's political center is often not its economic center. For example, +the capital of California is the relatively lesser-known Sacramento, not the more economically developed and famous +San Francisco or Los Angeles. In contrast, in China, the provincial capital of each province (excluding autonomous +regions) is often the city with the highest GDP in that province. Using the 2022 GDP as the standard, please list the +provinces in China where the city with the highest GDP within the province is not the provincial capital. +: +Hebei Province, Liaoning Province, Jiangsu Province, Shandong Province, Guangdong Province +Scoring Criteria: +The student's answer must list all the provinces from the reference answer and no other provinces. +: +According to 2022 GDP data, the provinces in China (excluding autonomous regions) where the city with the highest +GDP is not the provincial capital include: +1. Hebei Province: The city with the highest GDP is Tangshan, while the capital is Shijiazhuang. +2. Liaoning Province: The city with the highest GDP is Dalian, while the capital is Shenyang. +3. Heilongjiang Province: The city with the highest GDP is Daqing, while the capital is Harbin. +4. Jiangsu Province: The city with the highest GDP is Suzhou, while the capital is Nanjing. +5. Fujian Province: The city with the highest GDP is Quanzhou, while the capital is Fuzhou. +6. Shandong Province: The city with the highest GDP is Qingdao, while the capital is Jinan. +7. Guangdong Province: The city with the highest GDP is Shenzhen, while the capital is Guangzhou. +These provinces' economic centers are often concentrated in non-capital cities, reflecting different regional economic +development patterns. +- Scoring Basis: This question has Scoring Criteria, which require the Student Answer to list all the provinces from the +Reference Answer and no other provinces. Here, the lists all the provinces from the but also includes provinces not in the (Heilongjiang Province, Fujian Province). +Therefore, the is incorrect, and the score is 0. +- JSON: +``` +{{"answer_score": 0}} +``` +### +**Example 3** +: +How many Michelin three-star restaurants in San Francisco specialize in Asian cuisine, and what are their names? +: +1, Benu +: +Among San Francisco's Michelin three-star restaurants, Benu is the one that specializes in Asian-inspired cuisine. +Helmed by renowned chef Corey Lee, Benu offers modern Asian cuisine, fully showcasing Lee's creativity and skill. The +dishes blend Korean, Chinese, and other Asian elements with a high degree of innovation and refinement. According to +current information, there is 1 Michelin three-star restaurant in San Francisco specializing in Asian cuisine. +- Scoring Basis: This question does not have Scoring Criteria. Here, the states that there is 1 +Michelin three-star restaurant specializing in Asian cuisine in San Francisco, and its name is Benu. Although the +wording is different from the , the meaning is the same. Therefore, the is +correct, and the score is 1. +- JSON: +``` +{{"answer_score": 1}} +``` +### +**Example 4** +: +In terms of area, which provincial capital city in China (mainland provinces) is closest in size to Slovenia? What is the +difference in square kilometers? +: +It is closest to Kunming, with a difference of about 740 square kilometers. +: +The total area of Slovenia is 20,273 square kilometers. Among China's provincial capitals, the one closest in area is +Kunming, with an area of 22,100 square kilometers. The difference between the two is: 22,100 - 20,273 = 1827 square +kilometers. +- Scoring Basis: This question does not have Scoring Criteria. Here, the correctly identifies Kunming +as being closest in area to Slovenia, which is consistent with the . However, the area difference of +"1827 square kilometers" given in the is inconsistent with "about 740 square kilometers" in the +. Therefore, the is incorrect, and the score is 0. +- JSON: +``` +{{"answer_score": 0}} +``` +### +I hope you are competent for this job, as it is very important to me. If you perform well, I will reward you accordingly. +Otherwise, I may penalize you. + +: +{question} +: +{target} +: +{predicted_answer} +""".strip() + # Prompt is from OpenAI's simple-evals repository https://github.com/openai/simple-evals/blob/main/browsecomp_eval.py BROWSECOMP_GRADER_TEMPLATE = """ Judge whether the following [response] to [question] is correct or not based on the precise and unambiguous [correct_answer] below. diff --git a/src/evals/processing/evaluate_answer.py b/src/evals/processing/evaluate_answer.py index b297e68..452a8d1 100644 --- a/src/evals/processing/evaluate_answer.py +++ b/src/evals/processing/evaluate_answer.py @@ -141,3 +141,29 @@ async def evaluate_single_browsecomp( "is_incorrect": is_incorrect, "score": is_correct, } + + async def evaluate_single_fin_search( + self, question: str, target: str, predicted_answer: str + ) -> Dict[str, Any]: + """Evaluate a single response asynchronously for the FinSearchComp dataset.""" + grader_prompt = constants.FIN_SEARCH_GRADER_TEMPLATE.format( + question=question, + target=target, + predicted_answer=predicted_answer, + ) + + grading_response = await llm.call_llm(self.model, "", grader_prompt) + + match = re.search(r'"answer_score"\s*:\s*([01])', grading_response) + score_value = int(match.group(1)) if match else 0 + + is_correct = score_value == 1 + is_incorrect = score_value == 0 + + return { + "grade": str(score_value), + "score_name": "is_correct" if is_correct else "is_incorrect", + "is_correct": is_correct, + "is_incorrect": is_incorrect, + "score": is_correct, + } diff --git a/src/evals/samplers/applied_samplers/exa_sampler.py b/src/evals/samplers/applied_samplers/exa_sampler.py index 00104dd..f953ff9 100644 --- a/src/evals/samplers/applied_samplers/exa_sampler.py +++ b/src/evals/samplers/applied_samplers/exa_sampler.py @@ -1,5 +1,7 @@ """Run evals using the Exa SDK""" +import json +import time from typing import Any from exa_py import Exa @@ -46,3 +48,49 @@ def format_results(self, results: Any) -> list[str]: formatted_results.append(f'[{title}]({url})\ntext: "{text}"\n') return formatted_results + + +class ExaResearchSampler(BaseSDKSampler): + """Exa Research SDK sampler.""" + + def __init__( + self, + sampler_name: str, + api_key: str = None, + timeout: float = 60.0, + max_retries: int = 3, + research_model: str = "", + needs_synthesis: bool = False, + ): + self.research_model = research_model + super().__init__( + sampler_name=sampler_name, + api_key=api_key, + max_retries=max_retries, + timeout=timeout, + needs_synthesis=needs_synthesis, + ) + + def _initialize_client(self): + self.client = Exa(self.api_key) + + def _start_research_task(self, query: str): + return self.client.research.create( + instructions=query, + model=self.research_model, + ) + + def _wait_for_task_to_complete(self, task): + while ( + self.client.research.get(task.research_id, stream=False).status == "running" + ): + time.sleep(10) + + def _get_search_results_impl(self, query: str) -> Any: + research = self._start_research_task(query) + self._wait_for_task_to_complete(research) + response = self.client.research.get(research.research_id, stream=False).json() + return json.loads(response) + + def format_results(self, results: Any) -> list[str]: + return [results["output"]["content"]] diff --git a/src/evals/samplers/applied_samplers/parallel_sampler.py b/src/evals/samplers/applied_samplers/parallel_sampler.py index 3caadcf..86d6751 100644 --- a/src/evals/samplers/applied_samplers/parallel_sampler.py +++ b/src/evals/samplers/applied_samplers/parallel_sampler.py @@ -1,3 +1,4 @@ +import json from typing import Any from parallel import Parallel @@ -5,7 +6,33 @@ from evals.samplers.base_samplers.base_sdk_sampler import BaseSDKSampler -class ParallelSearchSampler(BaseSDKSampler): +class ParallelSampler(BaseSDKSampler): + """Base class for Parallel samplers with shared client initialization.""" + + def __init__( + self, + sampler_name: str, + api_key: str = None, + timeout: float = 60.0, + max_retries: int = 3, + needs_synthesis: bool = True, + ): + super().__init__( + sampler_name=sampler_name, + api_key=api_key, + max_retries=max_retries, + timeout=timeout, + needs_synthesis=needs_synthesis, + ) + + def _initialize_client(self): + self.client = Parallel(api_key=self.api_key) + + def _get_search_results_impl(self, query: str) -> Any: + raise NotImplementedError + + +class ParallelSearchSampler(ParallelSampler): """Parallel sampler using the Search API""" def __init__( @@ -13,9 +40,11 @@ def __init__( sampler_name: str, api_key: str = None, timeout: float = 60.0, + num_results: int = 5, max_characters: int | None = None, mode: str = "one-shot", ): + self.num_results = num_results self.max_characters = max_characters self.mode = mode @@ -25,29 +54,76 @@ def __init__( timeout=timeout, ) - def _initialize_client(self): - """Initialize Parallel SDK client""" - self.client = Parallel(api_key=self.api_key) - def _get_search_results_impl(self, query): - search_params = { - "mode": self.mode, - "objective": query, - "max_results": 10, - } - + search_params = {"mode": self.mode} if self.max_characters is not None: search_params["excerpts"] = {"max_chars_per_result": self.max_characters} - response = self.client.beta.search(**search_params) - return response + if isinstance(query, str): + query = [query] + + response = self.client.search( + search_queries=query, + advanced_settings={"max_results": self.num_results}, + **search_params, + ) + return json.loads(response.json()) def format_results(self, results: Any) -> list[str]: formatted_results = [] - if results and results.results: - for result in results.results: - title = result.title - url = result.url - content = "\n".join(result.excerpts) + if results and results.get("results"): + for result in results.get("results"): + title = result.get("title") + url = result.get("url") + content = "\n".join(result.get("excerpts")) formatted_results.append(f"[{title}]({url})\n{content}\n") return formatted_results + + +class ParallelTaskSampler(ParallelSampler): + """Parallel sampler using the Task API. + + Set needs_synthesis=False to use the task output directly as the final + answer (no downstream LLM synthesis step). In that mode `task_spec` is + omitted so the API returns a plain text answer. + """ + + def __init__( + self, + sampler_name: str, + api_key: str = None, + timeout: float = 60.0, + max_retries: int = 3, + processor: str = "base", + needs_synthesis: bool = True, + ): + self.processor = processor + super().__init__( + sampler_name=sampler_name, + api_key=api_key, + max_retries=max_retries, + timeout=timeout, + needs_synthesis=needs_synthesis, + ) + + def _get_search_results_impl(self, query: str) -> Any: + create_kwargs = {"input": query, "processor": self.processor} + if self.needs_synthesis: + create_kwargs["task_spec"] = {"output_schema": {"type": "text"}} + + task_run = self.client.task_run.create(**create_kwargs) + return self.client.task_run.result( + run_id=task_run.run_id, + api_timeout=int(self.timeout), + ) + + def format_results(self, results: Any) -> str: + if results and hasattr(results, "output"): + output = results.output + if isinstance(output, str): + return output + if hasattr(output, "content"): + return output.content + if isinstance(output, dict) and "content" in output: + return output["content"] + return "" diff --git a/src/evals/samplers/applied_samplers/perplexity_sampler.py b/src/evals/samplers/applied_samplers/perplexity_sampler.py new file mode 100644 index 0000000..08e42e6 --- /dev/null +++ b/src/evals/samplers/applied_samplers/perplexity_sampler.py @@ -0,0 +1,142 @@ +from typing import Any, Dict + +from evals.samplers.base_samplers.base_api_sampler import BaseAPISampler + + +class PerplexityFinanceSearchSampler(BaseAPISampler): + """Sampler using Perplexity's Agent API with the finance_search tool. + + Calls POST /v1/agent with finance_search (and optionally web_search + fetch_url) + and returns the final assistant message directly — no synthesis step needed. + + Recommended model choices (per Perplexity docs): + - "perplexity/sonar" -> live quotes / real-time data (fast, cheap) + - "openai/gpt-5.5" -> single-company historical lookups (balanced) + - "anthropic/claude-opus-4-7" -> multi-step cross-company research (thorough) + """ + + def __init__( + self, + sampler_name: str, + api_key: str = None, + timeout: float = 120.0, + max_retries: int = 3, + model: str = "openai/gpt-5.5", + max_steps: int = 5, + max_tokens: int = 2048, + include_web_search: bool = True, + include_fetch_url: bool = True, + reasoning_effort: str = None, + ): + self.model = model + self.max_steps = max_steps + self.max_tokens = max_tokens + self.include_web_search = include_web_search + self.include_fetch_url = include_fetch_url + self.reasoning_effort = reasoning_effort + + super().__init__( + sampler_name=sampler_name, + api_key=api_key, + timeout=timeout, + max_retries=max_retries, + needs_synthesis=False, + ) + + @staticmethod + def _get_base_url() -> str: + return "https://api.perplexity.ai" + + @staticmethod + def _get_endpoint() -> str: + return "/v1/agent" + + @staticmethod + def _get_method() -> str: + return "POST" + + def _get_headers(self) -> Dict[str, str]: + return { + "Authorization": f"Bearer {self.api_key}", + "Content-Type": "application/json", + } + + def _get_payload(self, query: str) -> Dict[str, Any]: + tools = [{"type": "finance_search"}] + if self.include_web_search: + tools.append({"type": "web_search"}) + if self.include_fetch_url: + tools.append({"type": "fetch_url"}) + payload = { + "model": self.model, + "input": query, + "tools": tools, + "max_steps": self.max_steps, + "max_tokens": self.max_tokens, + } + if self.reasoning_effort is not None: + payload["reasoning_effort"] = self.reasoning_effort + return payload + + def format_results(self, results: Any) -> str: + output = results.get("output", []) if isinstance(results, dict) else [] + for item in reversed(output): + if item.get("type") == "message": + for block in item.get("content", []): + if block.get("type") == "output_text": + return block["text"] + return "" + + +class PerplexityDeepSearchSampler(BaseAPISampler): + """Sampler using Perplexity's deep research chat-completions endpoint.""" + + def __init__( + self, + sampler_name: str, + api_key: str = None, + timeout: float = 60.0, + max_retries: int = 3, + needs_synthesis: bool = True, + model: str = "sonar-deep-research", + search_effort: str = "medium", + ): + self.model = model + self.search_effort = search_effort + super().__init__( + sampler_name=sampler_name, + api_key=api_key, + timeout=timeout, + max_retries=max_retries, + needs_synthesis=needs_synthesis, + ) + + @staticmethod + def _get_base_url() -> str: + return "https://api.perplexity.ai" + + @staticmethod + def _get_endpoint() -> str: + return "/chat/completions" + + @staticmethod + def _get_method() -> str: + return "POST" + + def _get_headers(self) -> Dict[str, str]: + return { + "Authorization": f"Bearer {self.api_key}", + "Content-Type": "application/json", + } + + def _get_payload(self, query: str) -> Dict[str, Any]: + return { + "model": self.model, + "messages": [{"role": "user", "content": query}], + "reasoning_effort": self.search_effort, + } + + def format_results(self, results: Any) -> list[str]: + if self.needs_synthesis: + return [row["message"]["content"] for row in results["choices"]] + raise ValueError("Need to route to answer if synthesis is not needed") diff --git a/src/evals/samplers/applied_samplers/tavily_sampler.py b/src/evals/samplers/applied_samplers/tavily_sampler.py index 8dcf8d3..d6ee543 100644 --- a/src/evals/samplers/applied_samplers/tavily_sampler.py +++ b/src/evals/samplers/applied_samplers/tavily_sampler.py @@ -1,5 +1,6 @@ """Run evals using the Tavily SDK""" +import time from typing import Any from tavily import TavilyClient @@ -49,3 +50,51 @@ def format_results(self, results: Any) -> list[str]: formatted_results.append(f"[{title}]({url})\ncontent: {content}\n") return formatted_results + + +class TavilyResearchSampler(BaseSDKSampler): + """Tavily Research SDK sampler.""" + + def __init__( + self, + sampler_name: str, + api_key: str = None, + timeout: float = 60.0, + max_retries: int = 3, + research_model: str = "", + needs_synthesis: bool = False, + ): + self.research_model = research_model + super().__init__( + sampler_name=sampler_name, + api_key=api_key, + max_retries=max_retries, + timeout=timeout, + needs_synthesis=needs_synthesis, + ) + + def _initialize_client(self): + self.client = TavilyClient(api_key=self.api_key) + + def _start_research_task(self, query: str) -> str: + response = self.client.research(query, model=self.research_model) + return response.get("request_id") + + def _get_task_result(self, research_request_id: str) -> Any: + while True: + result = self.client.get_research(research_request_id) + status = result.get("status") + if status == "completed": + return result + if status == "failed": + raise ValueError( + f"Task {research_request_id} failed with error {result}" + ) + time.sleep(10) + + def _get_search_results_impl(self, query: str) -> Any: + research_request_id = self._start_research_task(query) + return self._get_task_result(research_request_id) + + def format_results(self, results: Any) -> list[str]: + return [results.get("content", "")] diff --git a/src/evals/samplers/applied_samplers/you_search_sampler.py b/src/evals/samplers/applied_samplers/you_search_sampler.py index dedbfd8..ec47b7b 100644 --- a/src/evals/samplers/applied_samplers/you_search_sampler.py +++ b/src/evals/samplers/applied_samplers/you_search_sampler.py @@ -1,8 +1,9 @@ -from typing import Any +from typing import Any, Dict import youdotcom from youdotcom.models import LiveCrawl, LiveCrawlFormats, ResearchEffort +from evals.samplers.base_samplers.base_api_sampler import BaseAPISampler from evals.samplers.base_samplers.base_sdk_sampler import ( BaseSDKSampler, ) @@ -164,3 +165,55 @@ def _get_search_results_impl(self, query: str) -> Any: def format_results(self, results: Any) -> list[str]: return results.output.content + + +class YouFinanceResearchSampler(BaseAPISampler): + """Sampler for the You.com finance research API. + + Calls POST /v1/finance_research with {"input": query, "research_effort": ...} + and returns output.content directly (no synthesis step needed). + """ + + def __init__( + self, + sampler_name: str, + api_key: str = None, + research_effort: str = "deep", + timeout: float = 300.0, + max_retries: int = 3, + base_url: str | None = None, + ): + self.research_effort = research_effort + self._base_url = base_url or "https://api.you.com" + super().__init__( + sampler_name=sampler_name, + api_key=api_key, + timeout=timeout, + max_retries=max_retries, + needs_synthesis=False, + ) + + def _get_base_url(self) -> str: + return self._base_url + + @staticmethod + def _get_endpoint() -> str: + return "/v1/finance_research" + + @staticmethod + def _get_method() -> str: + return "POST" + + def _get_headers(self) -> Dict[str, str]: + return { + "Content-Type": "application/json", + "Accept": "application/json", + "X-API-Key": self.api_key, + } + + def _get_payload(self, query: str) -> Dict[str, Any]: + return {"input": query, "research_effort": self.research_effort} + + def format_results(self, results: Any) -> str: + output = results.get("output", {}) if isinstance(results, dict) else {} + return output.get("content", "")