From c53446013aaf01d51a3bcb519ea0a8d1e4f38737 Mon Sep 17 00:00:00 2001 From: zer0dss Date: Wed, 15 Jan 2025 19:16:59 +0000 Subject: [PATCH 1/2] no-test.Update serialization test data after new version release --- edsl/__version__.py | 2 +- pyproject.toml | 2 +- tests/serialization/data/0.1.40.json | 5897 +------------------------- tests/serialization/data/0.1.41.json | 1 + 4 files changed, 4 insertions(+), 5898 deletions(-) create mode 100644 tests/serialization/data/0.1.41.json diff --git a/edsl/__version__.py b/edsl/__version__.py index 4da0cc48..7435c791 100644 --- a/edsl/__version__.py +++ b/edsl/__version__.py @@ -1 +1 @@ -__version__ = "0.1.40.dev1" +__version__ = "0.1.41.dev1" diff --git a/pyproject.toml b/pyproject.toml index 103e31be..189717a2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ keywords = [ "LLM", "social science", "surveys", "user research",] license = "MIT" name = "edsl" readme = "README.md" -version = "0.1.40.dev1" +version = "0.1.41.dev1" [tool.poetry.dependencies] python = ">=3.9.1,<3.13" diff --git a/tests/serialization/data/0.1.40.json b/tests/serialization/data/0.1.40.json index 6909987b..c7a5bb9d 100644 --- a/tests/serialization/data/0.1.40.json +++ b/tests/serialization/data/0.1.40.json @@ -1,5896 +1 @@ -[ - { - "class_name": "Study", - "dict": { - "name": "example_study", - "description": null, - "objects": { - "1144312636257752766": { - "created_at": 1736341006.8364344, - "variable_name": "q", - "object": { - "question_name": "how_are_you", - "question_text": "How are you?", - "question_type": "free_text", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - "edsl_class_name": "QuestionFreeText", - "description": "Question name: how_are_you", - "coop_info": null - } - }, - "filename": "example_study", - "cache": { - "edsl_version": "0.1.39", - "edsl_class_name": "Cache" - }, - "use_study_cache": true, - "overwrite_on_change": true, - "proof_of_work": { - "input_data": null, - "proof": {} - } - } - }, - { - "class_name": "Scenario", - "dict": { - "persona": "A reseacher studying whether LLMs can be used to generate surveys.", - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - } - }, - { - "class_name": "FileStore", - "dict": { - "path": "/tmp/tmpzcknszis.txt", - "base64_string": "SGVsbG8sIFdvcmxkIQ==", - "binary": false, - "suffix": "txt", - "mime_type": "text/plain", - "external_locations": {}, - "extracted_text": "Hello, World!", - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - } - }, - { - "class_name": "CSVFileStore", - "dict": { - "path": "/tmp/tmpn1_v03sy.csv", - "base64_string": "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", - 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Test

", - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - } - }, - { - "class_name": "Results", - "dict": { - "data": [ - { - "agent": { - "traits": { - "status": "Joyful" - } - }, - "scenario": { - "period": "morning", - "scenario_index": 0 - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - } - }, - "iteration": 0, - "answer": { - "how_feeling": "OK", - "how_feeling_yesterday": "Great" - }, - "prompt": { - "how_feeling_user_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_system_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_yesterday_user_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_yesterday_system_prompt": { - "text": "NA", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "how_feeling_raw_model_response": "Not Applicable", - "how_feeling_cost": null, - "how_feeling_one_usd_buys": "NA", - "how_feeling_yesterday_raw_model_response": "Not Applicable", - "how_feeling_yesterday_cost": null, - "how_feeling_yesterday_one_usd_buys": "NA" - }, - "question_to_attributes": null, - "generated_tokens": { - "how_feeling_generated_tokens": "Not Applicable", - "how_feeling_yesterday_generated_tokens": "Not Applicable" - }, - "comments_dict": { - "how_feeling_comment": "This is a real survey response from a human.", - "how_feeling_yesterday_comment": "This is a real survey response from a human." - }, - "cache_used_dict": { - "how_feeling": "Not Applicable", - "how_feeling_yesterday": "Not Applicable" - } - }, - { - "agent": { - "traits": { - "status": "Joyful" - } - }, - "scenario": { - "period": "afternoon", - "scenario_index": 1 - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - } - }, - "iteration": 0, - "answer": { - "how_feeling": "Great", - "how_feeling_yesterday": "Good" - }, - "prompt": { - "how_feeling_user_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_system_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_yesterday_user_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_yesterday_system_prompt": { - "text": "NA", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "how_feeling_raw_model_response": "Not Applicable", - "how_feeling_cost": null, - "how_feeling_one_usd_buys": "NA", - "how_feeling_yesterday_raw_model_response": "Not Applicable", - "how_feeling_yesterday_cost": null, - "how_feeling_yesterday_one_usd_buys": "NA" - }, - "question_to_attributes": null, - "generated_tokens": { - "how_feeling_generated_tokens": "Not Applicable", - "how_feeling_yesterday_generated_tokens": "Not Applicable" - }, - "comments_dict": { - "how_feeling_comment": "This is a real survey response from a human.", - "how_feeling_yesterday_comment": "This is a real survey response from a human." - }, - "cache_used_dict": { - "how_feeling": "Not Applicable", - "how_feeling_yesterday": "Not Applicable" - } - }, - { - "agent": { - "traits": { - "status": "Sad" - } - }, - "scenario": { - "period": "morning", - "scenario_index": 0 - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - } - }, - "iteration": 0, - "answer": { - "how_feeling": "Terrible", - "how_feeling_yesterday": "OK" - }, - "prompt": { - "how_feeling_user_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_system_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_yesterday_user_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_yesterday_system_prompt": { - "text": "NA", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "how_feeling_raw_model_response": "Not Applicable", - "how_feeling_cost": null, - "how_feeling_one_usd_buys": "NA", - "how_feeling_yesterday_raw_model_response": "Not Applicable", - "how_feeling_yesterday_cost": null, - "how_feeling_yesterday_one_usd_buys": "NA" - }, - "question_to_attributes": null, - "generated_tokens": { - "how_feeling_generated_tokens": "Not Applicable", - "how_feeling_yesterday_generated_tokens": "Not Applicable" - }, - "comments_dict": { - "how_feeling_comment": "This is a real survey response from a human.", - "how_feeling_yesterday_comment": "This is a real survey response from a human." - }, - "cache_used_dict": { - "how_feeling": "Not Applicable", - "how_feeling_yesterday": "Not Applicable" - } - }, - { - "agent": { - "traits": { - "status": "Sad" - } - }, - "scenario": { - "period": "afternoon", - "scenario_index": 1 - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - } - }, - "iteration": 0, - "answer": { - "how_feeling": "OK", - "how_feeling_yesterday": "Terrible" - }, - "prompt": { - "how_feeling_user_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_system_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_yesterday_user_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_yesterday_system_prompt": { - "text": "NA", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "how_feeling_raw_model_response": "Not Applicable", - "how_feeling_cost": null, - "how_feeling_one_usd_buys": "NA", - "how_feeling_yesterday_raw_model_response": "Not Applicable", - "how_feeling_yesterday_cost": null, - "how_feeling_yesterday_one_usd_buys": "NA" - }, - "question_to_attributes": null, - "generated_tokens": { - "how_feeling_generated_tokens": "Not Applicable", - "how_feeling_yesterday_generated_tokens": "Not Applicable" - }, - "comments_dict": { - "how_feeling_comment": "This is a real survey response from a human.", - "how_feeling_yesterday_comment": "This is a real survey response from a human." - }, - "cache_used_dict": { - "how_feeling": "Not Applicable", - "how_feeling_yesterday": "Not Applicable" - } - } - ], - "survey": { - "questions": [ - { - "question_name": "how_feeling", - "question_text": "How are you this {{ period }}?", - "question_options": [ - "Good", - "Great", - "OK", - "Terrible" - ], - "question_type": "multiple_choice" - }, - { - "question_name": "how_feeling_yesterday", - "question_text": "How were you feeling yesterday {{ period }}?", - "question_options": [ - "Good", - "Great", - "OK", - "Terrible" - ], - "question_type": "multiple_choice" - } - ], - "memory_plan": { - "survey_question_names": [ - "how_feeling", - "how_feeling_yesterday" - ], - "survey_question_texts": [ - "How are you this {{ period }}?", - "How were you feeling yesterday {{ period }}?" - ], - "data": {} - }, - "rule_collection": { - "rules": [ - { - "current_q": 0, - "expression": "True", - "next_q": 1, - "priority": -1, - "question_name_to_index": { - "how_feeling": 0 - }, - "before_rule": false - }, - { - "current_q": 1, - "expression": "True", - "next_q": 2, - "priority": -1, - "question_name_to_index": { - "how_feeling": 0, - "how_feeling_yesterday": 1 - }, - "before_rule": false - } - ], - "num_questions": 2 - }, - "question_groups": {} - }, - "created_columns": [] - } - }, - { - "class_name": "ScenarioList", - "dict": { - "scenarios": [ - { - "persona": "A reseacher studying whether LLMs can be used to generate surveys.", - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - }, - { - "persona": "A reseacher studying whether LLMs can be used to generate surveys.", - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - } - ], - "edsl_version": "0.1.39", - "edsl_class_name": "ScenarioList" - } - }, - { - "class_name": "AgentTraits", - "dict": { - "persona": "A reseacher studying whether LLMs can be used to generate surveys.", - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - } - }, - { - "class_name": "Agent", - "dict": { - "traits": { - "age": 22, - "hair": "brown", - "height": 5.5 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "Agent" - } - }, - { - "class_name": "AgentList", - "dict": { - "agent_list": [ - { - "traits": { - "age": 22, - "hair": "brown", - "height": 5.5 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "Agent" - }, - { - "traits": { - "age": 22, - "hair": "brown", - "height": 5.5 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "Agent" - } - ], - "edsl_version": "0.1.39", - "edsl_class_name": "AgentList" - } - }, - { - "class_name": "Survey", - "dict": { - "questions": [ - { - "question_name": "q0", - "question_text": "Do you like school?", - "question_options": [ - "yes", - "no" - ], - "question_type": "multiple_choice", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "q1", - "question_text": "Why not?", - "question_options": [ - "killer bees in cafeteria", - "other" - ], - "question_type": "multiple_choice", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "q2", - "question_text": "Why?", - "question_options": [ - "**lack*** of killer bees in cafeteria", - "other" - ], - "question_type": "multiple_choice", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - ], - "memory_plan": { - "survey_question_names": [ - "q0", - "q1", - "q2" - ], - "survey_question_texts": [ - "Do you like school?", - "Why not?", - "Why?" - ], - "data": {} - }, - "rule_collection": { - "rules": [ - { - "current_q": 0, - "expression": "True", - "next_q": 1, - "priority": -1, - "question_name_to_index": { - "q0": 0 - }, - "before_rule": false - }, - { - "current_q": 1, - "expression": "True", - "next_q": 2, - "priority": -1, - "question_name_to_index": { - "q0": 0, - "q1": 1 - }, - "before_rule": false - }, - { - "current_q": 2, - "expression": "True", - "next_q": 3, - "priority": -1, - "question_name_to_index": { - "q0": 0, - "q1": 1, - "q2": 2 - }, - "before_rule": false - }, - { - "current_q": 0, - "expression": "q0 == 'yes'", - "next_q": 2, - "priority": 0, - "question_name_to_index": { - "q0": 0, - "q1": 1, - "q2": 2 - }, - "before_rule": false - } - ], - "num_questions": 3 - }, - "question_groups": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Survey" - } - }, - { - "class_name": "ModelList", - "dict": { - "models": [ - { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - }, - { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - }, - { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - } - ], - "edsl_version": "0.1.39", - "edsl_class_name": "ModelList" - } - }, - { - "class_name": "Cache", - "dict": { - "5513286eb6967abc0511211f0402587d": { - "model": "gpt-3.5-turbo", - "parameters": { - "temperature": 0.5 - }, - "system_prompt": "The quick brown fox jumps over the lazy dog.", - "user_prompt": "What does the fox say?", - "output": "The fox says 'hello'", - "iteration": 1, - "timestamp": 1736341013 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "Cache" - } - }, - { - "class_name": "RunParameters", - "dict": { - "n": 1, - "progress_bar": false, - "stop_on_exception": false, - "check_api_keys": false, - "verbose": true, - "print_exceptions": true, - "remote_cache_description": null, - "remote_inference_description": null, - "remote_inference_results_visibility": "unlisted", - "skip_retry": false, - "raise_validation_errors": false, - "disable_remote_cache": false, - "disable_remote_inference": false, - "job_uuid": null - } - }, - { - "class_name": "Result", - "dict": { - "agent": { - "traits": { - "status": "Joyful" - }, - "edsl_version": "0.1.39", - "edsl_class_name": "Agent" - }, - "scenario": { - "period": "morning", - "scenario_index": 0, - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - }, - "iteration": 0, - "answer": { - "how_feeling": "OK", - "how_feeling_yesterday": "Great" - }, - "prompt": { - "how_feeling_user_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_system_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_yesterday_user_prompt": { - "text": "NA", - "class_name": "Prompt" - }, - "how_feeling_yesterday_system_prompt": { - "text": "NA", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "how_feeling_raw_model_response": "Not Applicable", - "how_feeling_cost": null, - "how_feeling_one_usd_buys": "NA", - "how_feeling_yesterday_raw_model_response": "Not Applicable", - "how_feeling_yesterday_cost": null, - "how_feeling_yesterday_one_usd_buys": "NA" - }, - "question_to_attributes": null, - "generated_tokens": { - "how_feeling_generated_tokens": "Not Applicable", - "how_feeling_yesterday_generated_tokens": "Not Applicable" - }, - "comments_dict": { - "how_feeling_comment": "This is a real survey response from a human.", - "how_feeling_yesterday_comment": "This is a real survey response from a human." - }, - "edsl_version": "0.1.39", - "edsl_class_name": "Result" - } - }, - { - "class_name": "Jobs", - "dict": { - "survey": { - "questions": [ - { - "question_name": "how_feeling", - "question_text": "How are you this {{ period }}?", - "question_options": [ - "Good", - "Great", - "OK", - "Terrible" - ], - "question_type": "multiple_choice", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "how_feeling_yesterday", - "question_text": "How were you feeling yesterday {{ period }}?", - "question_options": [ - "Good", - "Great", - "OK", - "Terrible" - ], - "question_type": "multiple_choice", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - ], - "memory_plan": { - "survey_question_names": [ - "how_feeling", - "how_feeling_yesterday" - ], - "survey_question_texts": [ - "How are you this {{ period }}?", - "How were you feeling yesterday {{ period }}?" - ], - "data": {} - }, - "rule_collection": { - "rules": [ - { - "current_q": 0, - "expression": "True", - "next_q": 1, - "priority": -1, - "question_name_to_index": { - "how_feeling": 0 - }, - "before_rule": false - }, - { - "current_q": 1, - "expression": "True", - "next_q": 2, - "priority": -1, - "question_name_to_index": { - "how_feeling": 0, - "how_feeling_yesterday": 1 - }, - "before_rule": false - } - ], - "num_questions": 2 - }, - "question_groups": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Survey" - }, - "agents": [ - { - "traits": { - "status": "Joyful" - }, - "edsl_version": "0.1.39", - "edsl_class_name": "Agent" - }, - { - "traits": { - "status": "Sad" - }, - "edsl_version": "0.1.39", - "edsl_class_name": "Agent" - } - ], - "models": [], - "scenarios": [ - { - "period": "morning", - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - }, - { - "period": "afternoon", - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - } - ], - "edsl_version": "0.1.39", - "edsl_class_name": "Jobs" - } - }, - { - "class_name": "Notebook", - "dict": { - "name": "notebook", - "data": { - "metadata": {}, - "nbformat": 4, - "nbformat_minor": 4, - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": "# Test notebook" - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": "Hello world!\n" - } - ], - "source": "print(\"Hello world!\")" - } - ] - } - } - }, - { - "class_name": "QuestionCheckBox", - "dict": { - "question_name": "never_eat", - "question_text": "Which of the following foods would you eat if you had to?", - "min_selections": 2, - "max_selections": 5, - "question_options": [ - "soggy meatpie", - "rare snails", - "mouldy bread", - "panda milk custard", - "McDonalds" - ], - "include_comment": false, - "use_code": true, - "question_type": "checkbox", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionExtract", - "dict": { - "question_name": "extract_name", - "question_text": "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", - "answer_template": { - "name": "John Doe", - "profession": "Carpenter" - }, - "question_type": "extract", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionFreeText", - "dict": { - "question_name": "how_are_you", - "question_text": "How are you?", - "question_type": "free_text", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionFunctional", - "dict": { - "question_name": "sum_and_multiply", - "function_source_code": "def calculate_sum_and_multiply(scenario, agent_traits):\n numbers = scenario.get(\"numbers\", [])\n multiplier = agent_traits.get(\"multiplier\", 1) if agent_traits else 1\n sum = 0\n for num in numbers:\n sum = sum + num\n return sum * multiplier\n", - "question_type": "functional", - "requires_loop": true, - "function_name": "calculate_sum_and_multiply", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionFunctional" - } - }, - { - "class_name": "QuestionList", - "dict": { - "question_name": "list_of_foods", - "question_text": "What are your favorite foods?", - "question_type": "list", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionMatrix", - "dict": { - "question_name": "child_happiness", - "question_text": "How happy would you be with different numbers of children?", - "question_items": [ - "No children", - "1 child", - "2 children", - "3 or more children" - ], - "question_options": [ - 1, - 2, - 3, - 4, - 5 - ], - "option_labels": { - "1": "Very sad", - "3": "Neutral", - "5": "Extremely happy" - }, - "question_type": "matrix", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionMultipleChoice", - "dict": { - "question_name": "how_feeling", - "question_text": "How are you?", - "question_options": [ - "Good", - "Great", - "OK", - "Bad" - ], - "include_comment": false, - "question_type": "multiple_choice", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionDict", - "dict": { - "question_name": "recipe", - "question_text": "Please provide a simple recipe for hot chocolate.", - "answer_keys": [ - "title", - "ingredients", - "num_ingredients", - "instructions" - ], - "value_types": [ - "str", - "list[str]", - "int", - "str" - ], - "value_descriptions": [ - "The title of the recipe.", - "A list of ingredients.", - "The number of ingredients.", - "The instructions for making the recipe." - ], - "include_comment": true, - "question_type": "dict", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionNumerical", - "dict": { - "question_name": "age", - "question_text": "You are a 45 year old man. How old are you in years?", - "min_value": 0, - "max_value": 86.7, - "include_comment": false, - "question_type": "numerical", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionBudget", - "dict": { - "question_name": "food_budget", - "question_text": "How would you allocate $100?", - "question_options": [ - "Pizza", - "Ice Cream", - "Burgers", - "Salad" - ], - "budget_sum": 100, - "question_type": "budget", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionRank", - "dict": { - "question_name": "rank_foods", - "question_text": "Rank your favorite foods.", - "question_options": [ - "Pizza", - "Pasta", - "Salad", - "Soup" - ], - "num_selections": 2, - "question_type": "rank", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionLikertFive", - "dict": { - "question_name": "happy_raining", - "question_text": "I'm only happy when it rains.", - "question_options": [ - "Strongly disagree", - "Disagree", - "Neutral", - "Agree", - "Strongly agree" - ], - "question_type": "likert_five", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionLinearScale", - "dict": { - "question_name": "ice_cream", - "question_text": "How much do you like ice cream?", - "question_options": [ - 1, - 2, - 3, - 4, - 5 - ], - "option_labels": { - "1": "I hate it", - "5": "I love it" - }, - "question_type": "linear_scale", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionYesNo", - "dict": { - "question_name": "is_it_equal", - "question_text": "Is 5 + 5 equal to 11?", - "question_options": [ - "No", - "Yes" - ], - "question_type": "yes_no", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "QuestionTopK", - "dict": { - "question_name": "two_fruits", - "question_text": "Which of the following fruits do you prefer?", - "min_selections": 2, - "max_selections": 2, - "question_options": [ - "apple", - "banana", - "carrot", - "durian" - ], - "use_code": true, - "question_type": "top_k", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - }, - { - "class_name": "LanguageModel", - "dict": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - } - }, - { - "class_name": "Results", - "dict": { - "data": [ - { - "agent": { - "traits": { - "persona": "You are a scientist", - "age": 20 - } - }, - "scenario": { - "scenario_index": 0 - }, - "model": { - "model": "gpt-3.5-turbo", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - } - }, - "iteration": 0, - "answer": { - "q0": "yes", - "q1": null, - "q2": "other" - }, - "prompt": { - "q0_user_prompt": { - "text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q0_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", - "class_name": "Prompt" - }, - "q1_user_prompt": { - "text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q1_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", - "class_name": "Prompt" - }, - "q2_user_prompt": { - "text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q2_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "q0_raw_model_response": null, - "q0_cost": null, - "q0_one_usd_buys": "NA", - "q1_raw_model_response": null, - "q1_cost": null, - "q1_one_usd_buys": "NA", - "q2_raw_model_response": { - "id": "chatcmpl-AnPuvEobMx3bJaQZfAuSskgFRKdfQ", - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "logprobs": null, - "message": { - "content": "other\nI chose \"other\" because the lack of killer bees in the cafeteria is not a valid reason for anything, so it falls under the \"other\" category.", - "refusal": null, - "role": "assistant", - "audio": null, - "function_call": null, - "tool_calls": null - } - } - ], - "created": 1736341061, - "model": "gpt-3.5-turbo-0125", - "object": "chat.completion", - "service_tier": null, - "system_fingerprint": null, - "usage": { - "completion_tokens": 35, - "prompt_tokens": 101, - "total_tokens": 136, - "completion_tokens_details": { - "accepted_prediction_tokens": 0, - "audio_tokens": 0, - "reasoning_tokens": 0, - "rejected_prediction_tokens": 0 - }, - "prompt_tokens_details": { - "audio_tokens": 0, - "cached_tokens": 0 - } - } - }, - "q2_cost": 0.0005129989740020519, - "q2_one_usd_buys": 1949.3216374269007 - }, - "question_to_attributes": null, - "generated_tokens": { - "q0_generated_tokens": null, - "q1_generated_tokens": null, - "q2_generated_tokens": "other\nI chose \"other\" because the lack of killer bees in the cafeteria is not a valid reason for anything, so it falls under the \"other\" category." - }, - "comments_dict": { - "q0_comment": "Task was cancelled.", - "q1_comment": "Task was cancelled.", - "q2_comment": "I chose \"other\" because the lack of killer bees in the cafeteria is not a valid reason for anything, so it falls under the \"other\" category." - }, - "cache_used_dict": { - "q0": null, - "q1": null, - "q2": false - } - }, - { - "agent": { - "traits": { - "persona": "You are a scientist", - "age": 20 - } - }, - "scenario": { - "scenario_index": 0 - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - } - }, - "iteration": 0, - "answer": { - "q0": "yes", - "q1": null, - "q2": "other" - }, - "prompt": { - "q0_user_prompt": { - "text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q0_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", - "class_name": "Prompt" - }, - "q1_user_prompt": { - "text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q1_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", - "class_name": "Prompt" - }, - "q2_user_prompt": { - "text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q2_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "q0_raw_model_response": null, - "q0_cost": null, - "q0_one_usd_buys": "NA", - "q1_raw_model_response": null, - "q1_cost": null, - "q1_one_usd_buys": "NA", - "q2_raw_model_response": { - "id": "chatcmpl-AnPv7TVR7YVWoRI02uniffeKu29eC", - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "logprobs": null, - "message": { - "content": "other\nThe question seems to be asking for a reason related to a specific situation, and \"lack of killer bees in cafeteria\" doesn't seem relevant or logical.", - "refusal": null, - "role": "assistant", - "audio": null, - "function_call": null, - "tool_calls": null - } - } - ], - "created": 1736341073, - "model": "gpt-4o-2024-08-06", - "object": "chat.completion", - "service_tier": null, - "system_fingerprint": "fp_5f20662549", - "usage": { - "completion_tokens": 33, - "prompt_tokens": 100, - "total_tokens": 133, - "completion_tokens_details": { - "accepted_prediction_tokens": 0, - "audio_tokens": 0, - "reasoning_tokens": 0, - "rejected_prediction_tokens": 0 - }, - "prompt_tokens_details": { - "audio_tokens": 0, - "cached_tokens": 0 - } - } - }, - "q2_cost": 0.00058, - "q2_one_usd_buys": 1724.1379310344828 - }, - "question_to_attributes": null, - "generated_tokens": { - "q0_generated_tokens": null, - "q1_generated_tokens": null, - "q2_generated_tokens": "other\nThe question seems to be asking for a reason related to a specific situation, and \"lack of killer bees in cafeteria\" doesn't seem relevant or logical." - }, - "comments_dict": { - "q0_comment": "Task was cancelled.", - "q1_comment": "Task was cancelled.", - "q2_comment": "The question seems to be asking for a reason related to a specific situation, and \"lack of killer bees in cafeteria\" doesn't seem relevant or logical." - }, - "cache_used_dict": { - "q0": null, - "q1": null, - "q2": false - } - }, - { - "agent": { - "traits": { - "persona": "You are a chef", - "age": 40 - } - }, - "scenario": { - "scenario_index": 0 - }, - "model": { - "model": "gpt-3.5-turbo", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - } - }, - "iteration": 0, - "answer": { - "q0": "no", - "q1": "other", - "q2": "other" - }, - "prompt": { - "q0_user_prompt": { - "text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q0_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", - "class_name": "Prompt" - }, - "q1_user_prompt": { - "text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q1_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", - "class_name": "Prompt" - }, - "q2_user_prompt": { - "text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q2_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "q0_raw_model_response": { - "id": "chatcmpl-AnPuF6PldapR9a091nV06IVOpto7k", - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "logprobs": null, - "message": { - "content": "no\nSchool wasn't really my thing. I found my passion for cooking outside of the classroom.", - "refusal": null, - "role": "assistant", - "audio": null, - "function_call": null, - "tool_calls": null - } - } - ], - "created": 1736341019, - "model": "gpt-3.5-turbo-0125", - "object": "chat.completion", - "service_tier": null, - "system_fingerprint": null, - "usage": { - "completion_tokens": 21, - "prompt_tokens": 96, - "total_tokens": 117, - "completion_tokens_details": { - "accepted_prediction_tokens": 0, - "audio_tokens": 0, - "reasoning_tokens": 0, - "rejected_prediction_tokens": 0 - }, - "prompt_tokens_details": { - "audio_tokens": 0, - "cached_tokens": 0 - } - } - }, - "q0_cost": 0.000413999172001656, - "q0_one_usd_buys": 2415.463768115942, - "q1_raw_model_response": { - "id": "chatcmpl-AnPuRyDqGrbIemurs0S8SCRziwFdE", - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "logprobs": null, - "message": { - "content": "other\nI chose \"other\" because the presence of killer bees in the cafeteria is a serious safety concern that must be addressed immediately.", - "refusal": null, - "role": "assistant", - "audio": null, - "function_call": null, - "tool_calls": null - } - } - ], - "created": 1736341031, - "model": "gpt-3.5-turbo-0125", - "object": "chat.completion", - "service_tier": null, - "system_fingerprint": null, - "usage": { - "completion_tokens": 28, - "prompt_tokens": 97, - "total_tokens": 125, - "completion_tokens_details": { - "accepted_prediction_tokens": 0, - "audio_tokens": 0, - "reasoning_tokens": 0, - "rejected_prediction_tokens": 0 - }, - "prompt_tokens_details": { - "audio_tokens": 0, - "cached_tokens": 0 - } - } - }, - "q1_cost": 0.000458999082001836, - "q1_one_usd_buys": 2178.653594771242, - "q2_raw_model_response": { - "id": "chatcmpl-AnPudIruHEmDGExeBnOiispb2KTSv", - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "logprobs": null, - "message": { - "content": "other\nI chose \"other\" because the lack of killer bees in the cafeteria is not a valid reason for anything.", - "refusal": null, - "role": "assistant", - "audio": null, - "function_call": null, - "tool_calls": null - } - } - ], - "created": 1736341043, - "model": "gpt-3.5-turbo-0125", - "object": "chat.completion", - "service_tier": null, - "system_fingerprint": null, - "usage": { - "completion_tokens": 25, - "prompt_tokens": 101, - "total_tokens": 126, - "completion_tokens_details": { - "accepted_prediction_tokens": 0, - "audio_tokens": 0, - "reasoning_tokens": 0, - "rejected_prediction_tokens": 0 - }, - "prompt_tokens_details": { - "audio_tokens": 0, - "cached_tokens": 0 - } - } - }, - "q2_cost": 0.000452999094001812, - "q2_one_usd_buys": 2207.5099337748343 - }, - "question_to_attributes": null, - "generated_tokens": { - "q0_generated_tokens": "no\nSchool wasn't really my thing. I found my passion for cooking outside of the classroom.", - "q1_generated_tokens": "other\nI chose \"other\" because the presence of killer bees in the cafeteria is a serious safety concern that must be addressed immediately.", - "q2_generated_tokens": "other\nI chose \"other\" because the lack of killer bees in the cafeteria is not a valid reason for anything." - }, - "comments_dict": { - "q0_comment": "School wasn't really my thing. 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Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", - "class_name": "Prompt" - }, - "q1_user_prompt": { - "text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q1_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", - "class_name": "Prompt" - }, - "q2_user_prompt": { - "text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "q2_system_prompt": { - "text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "q0_raw_model_response": { - "id": "chatcmpl-AnPuLg3gQHO7BRIMN61KYkfJc7WbK", - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "logprobs": null, - "message": { - "content": "no \nI preferred learning through hands-on experience in the kitchen rather than traditional school settings.", - "refusal": null, - "role": "assistant", - "audio": null, - "function_call": null, - "tool_calls": null - } - } - ], - "created": 1736341025, - "model": "gpt-4o-2024-08-06", - "object": "chat.completion", - "service_tier": null, - "system_fingerprint": "fp_d28bcae782", - "usage": { - "completion_tokens": 19, - "prompt_tokens": 96, - "total_tokens": 115, - "completion_tokens_details": { - "accepted_prediction_tokens": 0, - "audio_tokens": 0, - "reasoning_tokens": 0, - "rejected_prediction_tokens": 0 - }, - "prompt_tokens_details": { - "audio_tokens": 0, - 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"extract_name": { - "name": "Moby Dick", - "profession": "Truck Driver" - }, - "how_are_you": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", - "list_of_foods": [ - "Pizza", - "Sushi", - "Chocolate" - ], - "child_happiness": { - "No children": 2, - "1 child": 3, - "2 children": 4, - "3 or more children": 4 - }, - "how_feeling": "Great", - "age": 45, - "food_budget": [ - { - "Pizza": 30.0 - }, - { - "Ice Cream": 20.0 - }, - { - "Burgers": 30.0 - }, - { - "Salad": 20.0 - } - ], - "rank_foods": [ - "Pizza", - "Pasta" - ], - "happy_raining": "Neutral", - "ice_cream": null, - "is_it_equal": "No", - "two_fruits": [ - "apple", - "banana" - ] - }, - "prompt": { - "never_eat_user_prompt": { - "text": "Which of the following foods would you eat if you had to?\n\n \n0: soggy meatpie\n \n1: rare snails\n \n2: mouldy bread\n \n3: panda milk custard\n \n4: McDonalds\n \n\n\n\n\nMinimum number of options that must be selected: 2.\nMaximum number of options that must be selected: 5.\n\n\n\nPlease respond only with a comma-separated list of the code of the options that apply, with square brackets. 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I have a PhD in astrology, but I'm actually a truck driverAn ANSWER should be formatted like this: \n\n{'name': 'John Doe', 'profession': 'Carpenter'}\n\nIt should have the same keys but values extracted from the input.\nIf the value of a key is not present in the input, fill with \"null\".\nPut any comments in the next line after the answer.", - "class_name": "Prompt" - }, - "extract_name_system_prompt": { - "text": "", - "class_name": "Prompt" - }, - "how_are_you_user_prompt": { - "text": "How are you?", - "class_name": "Prompt" - }, - "how_are_you_system_prompt": { - "text": "", - "class_name": "Prompt" - }, - "list_of_foods_user_prompt": { - "text": "What are your favorite foods?\n\n\nReturn your answers on one line, in a comma-separated list of your responses, with square brackets and each answer in quotes E.g., [\"A\", \"B\", \"C\"]\n\nAfter the answers, you can put a comment explaining your choice on the next line.", - "class_name": "Prompt" - }, - "list_of_foods_system_prompt": { - "text": "", - "class_name": "Prompt" - }, - "child_happiness_user_prompt": { - "text": "How happy would you be with different numbers of children?\n\nRows:\n \n0: No children\n \n1: 1 child\n \n2: 2 children\n \n3: 3 or more children\n \n\nColumns:\n \n0: 1\n (Very sad)\n \n1: 2\n \n2: 3\n (Neutral)\n \n3: 4\n \n4: 5\n (Extremely happy)\n \n\n\nSelect one column option for each row.\n Please respond with a dictionary mapping row codes to column codes. 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How old are you in years?\n\n Minimum answer value: 0\n\n\n Maximum answer value: 86.7\nThis question requires a numerical response in the form of an integer or decimal (e.g., -12, 0, 1, 2, 3.45, ...).\nRespond with just your number on a single line.\nIf your response is equivalent to zero, report '0'", - "class_name": "Prompt" - }, - "age_system_prompt": { - "text": "", - "class_name": "Prompt" - }, - "food_budget_user_prompt": { - "text": "How would you allocate $100?\nThe options are \n\n0: Pizza\n\n1: Ice Cream\n\n2: Burgers\n\n3: Salad\n \nAllocate your budget of 100 among the options. \n\nReturn only a comma-separated list the values in the same order as the options, with 0s included, on one line, in square braces.\n\nExample: if there are 4 options, the response should be \"[25,25,25,25]\" to allocate 25 to each option.\n\n\nAfter the answer, you can put a comment explaining your choice on the next line.", - "class_name": "Prompt" - }, - "food_budget_system_prompt": { - "text": "", - "class_name": "Prompt" - }, - "rank_foods_user_prompt": { - "text": "Rank your favorite foods.\n\nThe options are:\n\nPizza\n\nPasta\n\nSalad\n\nSoup\n\n\n\nYou can inlcude up to 2 options in your answer.\n\n\n\nPlease respond only with a comma-separated list of the ranked options, with square brackets. 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E.g., \"1\" or \"5\" by itself.\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "ice_cream_system_prompt": { - "text": "", - "class_name": "Prompt" - }, - "is_it_equal_user_prompt": { - "text": "\nIs 5 + 5 equal to 11?\n\n \nNo\n \nYes\n \n\nOnly 1 option may be selected.\nPlease respond with just your answer. \n\n\nAfter the answer, you can put a comment explaining your response.", - "class_name": "Prompt" - }, - "is_it_equal_system_prompt": { - "text": "", - "class_name": "Prompt" - }, - "two_fruits_user_prompt": { - "text": "Which of the following fruits do you prefer?\n\n \n0: apple\n \n1: banana\n \n2: carrot\n \n3: durian\n \n\n\n\n\nYou must select exactly 2 options.\n\n\nPlease respond with valid JSON, formatted like so:\n\n {\"answer\": [], \"comment\": \"\"}", - "class_name": "Prompt" - }, - "two_fruits_system_prompt": { - "text": "", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "never_eat_raw_model_response": { - "id": "chatcmpl-AnPvQUkSmGGL9CT4X6usTAb7GC4MR", - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "logprobs": null, - "message": { - "content": "[3, 4]", - "refusal": null, - "role": "assistant", - "audio": null, - "function_call": null, - "tool_calls": null - } - } - ], - "created": 1736341092, - "model": "gpt-4o-2024-08-06", - "object": "chat.completion", - "service_tier": null, - "system_fingerprint": "fp_5f20662549", - "usage": { - "completion_tokens": 7, - "prompt_tokens": 110, - "total_tokens": 117, - "completion_tokens_details": { - "accepted_prediction_tokens": 0, - "audio_tokens": 0, - "reasoning_tokens": 0, - "rejected_prediction_tokens": 0 - }, - "prompt_tokens_details": { - "audio_tokens": 0, - "cached_tokens": 0 - } - } - }, - "never_eat_cost": 0.00034500000000000004, - "never_eat_one_usd_buys": 2898.550724637681, - "extract_name_raw_model_response": { - "id": "chatcmpl-AnPvuzGdrJe2wKmXxvM5cr9YBMyz0", - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "logprobs": null, - "message": { - "content": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe name \"Moby Dick\" and the profession \"Truck Driver\" were extracted from the input. 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One child could bring joy and a sense of fulfillment, so a higher level of happiness. Two children might enhance family dynamics and provide companionship for each other, increasing happiness. 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Carrot is a vegetable, not a fruit, and durian has a strong odor that not everyone finds appealing.\"\n}\n```", - "refusal": null, - "role": "assistant", - "audio": null, - "function_call": null, - "tool_calls": null - } - } - ], - "created": 1736341104, - "model": "gpt-4o-2024-08-06", - "object": "chat.completion", - "service_tier": null, - "system_fingerprint": "fp_5f20662549", - "usage": { - "completion_tokens": 68, - "prompt_tokens": 75, - "total_tokens": 143, - "completion_tokens_details": { - "accepted_prediction_tokens": 0, - "audio_tokens": 0, - "reasoning_tokens": 0, - "rejected_prediction_tokens": 0 - }, - "prompt_tokens_details": { - "audio_tokens": 0, - "cached_tokens": 0 - } - } - }, - "two_fruits_cost": 0.0008675, - "two_fruits_one_usd_buys": 1152.7377521613832 - }, - "question_to_attributes": null, - "generated_tokens": { - "never_eat_generated_tokens": "[3, 4]", - "extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe name \"Moby Dick\" and the profession \"Truck Driver\" were extracted from the input. The PhD in astrology is not considered a profession for this context.", - "how_are_you_generated_tokens": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", - "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese choices are popular and diverse, representing different cuisines and flavors that many people enjoy.", - "child_happiness_generated_tokens": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 4}\n\nHaving no children might feel neutral to me, as it allows for more personal freedom and fewer responsibilities. One child could bring joy and a sense of fulfillment, so a higher level of happiness. Two children might enhance family dynamics and provide companionship for each other, increasing happiness. 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Carrot is a vegetable, not a fruit, and durian has a strong odor that not everyone finds appealing.\"\n}\n```" - }, - "comments_dict": { - "never_eat_comment": null, - "extract_name_comment": "The name \"Moby Dick\" and the profession \"Truck Driver\" were extracted from the input. The PhD in astrology is not considered a profession for this context.", - "how_are_you_comment": "", - "list_of_foods_comment": "These choices are popular and diverse, representing different cuisines and flavors that many people enjoy.", - "child_happiness_comment": "Having no children might feel neutral to me, as it allows for more personal freedom and fewer responsibilities. One child could bring joy and a sense of fulfillment, so a higher level of happiness. Two children might enhance family dynamics and provide companionship for each other, increasing happiness. Three or more children could bring even more joy and a lively home environment, though it also comes with more challenges, so I rate it the same as two children.", - "how_feeling_comment": null, - "age_comment": null, - "food_budget_comment": "I allocated more to pizza and burgers as they are generally more filling and popular, while ice cream and salad received less as they might be considered more as side options or desserts.", - "rank_foods_comment": "Pizza and pasta are versatile, comfort foods that can be customized with a variety of flavors and ingredients, making them both delicious and satisfying.", - "happy_raining_comment": "This phrase could be interpreted in different ways, such as metaphorically or literally, and without additional context, it's difficult to determine a specific stance.", - "ice_cream_comment": "Question answer validation failed.", - "is_it_equal_comment": "5 + 5 equals 10, not 11.", - "two_fruits_comment": "```" - }, - "cache_used_dict": { - "never_eat": false, - "extract_name": false, - "how_are_you": false, - "list_of_foods": false, - "child_happiness": false, - "how_feeling": false, - "age": false, - "food_budget": false, - "rank_foods": false, - "happy_raining": false, - "ice_cream": null, - "is_it_equal": false, - "two_fruits": false - } - } - ], - "survey": { - "questions": [ - { - "question_name": "never_eat", - "question_text": "Which of the following foods would you eat if you had to?", - "min_selections": 2, - "max_selections": 5, - "question_options": [ - "soggy meatpie", - "rare snails", - "mouldy bread", - "panda milk custard", - "McDonalds" - ], - "include_comment": false, - "use_code": true, - "question_type": "checkbox" - }, - { - "question_name": "extract_name", - "question_text": "My name is Moby Dick. 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I have a PhD in astrology, but I'm actually a truck driver", - "How are you?", - "What are your favorite foods?", - "How happy would you be with different numbers of children?", - "How are you?", - "You are a 45 year old man. 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"list_of_foods": 3 - }, - "before_rule": false - }, - { - "current_q": 4, - "expression": "True", - "next_q": 5, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2, - "list_of_foods": 3, - "child_happiness": 4 - }, - "before_rule": false - }, - { - "current_q": 5, - "expression": "True", - "next_q": 6, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2, - "list_of_foods": 3, - "child_happiness": 4, - "how_feeling": 5 - }, - "before_rule": false - }, - { - "current_q": 6, - "expression": "True", - "next_q": 7, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2, - "list_of_foods": 3, - "child_happiness": 4, - "how_feeling": 5, - "age": 6 - }, - "before_rule": false - }, - { - "current_q": 7, - "expression": "True", - "next_q": 8, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2, - "list_of_foods": 3, - "child_happiness": 4, - "how_feeling": 5, - "age": 6, - "food_budget": 7 - }, - "before_rule": false - }, - { - "current_q": 8, - "expression": "True", - "next_q": 9, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2, - "list_of_foods": 3, - "child_happiness": 4, - "how_feeling": 5, - "age": 6, - "food_budget": 7, - "rank_foods": 8 - }, - "before_rule": false - }, - { - "current_q": 9, - "expression": "True", - "next_q": 10, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2, - "list_of_foods": 3, - "child_happiness": 4, - "how_feeling": 5, - "age": 6, - "food_budget": 7, - "rank_foods": 8, - "happy_raining": 9 - }, - "before_rule": false - }, - { - "current_q": 10, - "expression": "True", - "next_q": 11, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2, - "list_of_foods": 3, - "child_happiness": 4, - "how_feeling": 5, - "age": 6, - "food_budget": 7, - "rank_foods": 8, - "happy_raining": 9, - "ice_cream": 10 - }, - "before_rule": false - }, - { - "current_q": 11, - "expression": "True", - "next_q": 12, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2, - "list_of_foods": 3, - "child_happiness": 4, - "how_feeling": 5, - "age": 6, - "food_budget": 7, - "rank_foods": 8, - "happy_raining": 9, - "ice_cream": 10, - "is_it_equal": 11 - }, - "before_rule": false - }, - { - "current_q": 12, - "expression": "True", - "next_q": 13, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2, - "list_of_foods": 3, - "child_happiness": 4, - "how_feeling": 5, - "age": 6, - "food_budget": 7, - "rank_foods": 8, - "happy_raining": 9, - "ice_cream": 10, - "is_it_equal": 11, - "two_fruits": 12 - }, - "before_rule": false - } - ], - "num_questions": 13 - }, - "question_groups": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Survey" - }, - "scenario": { - "scenario_index": 0, - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - }, - "iteration": 0, - "exceptions": { - "ice_cream": [ - { - "exception": { - "type": "QuestionAnswerValidationError", - "message": "1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...on personal experience.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error", - "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...on personal experience.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 163, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...on personal experience.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n" - }, - "time": "2025-01-08T12:58:37.397465", - "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...on personal experience.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 163, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...on personal experience.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n", - "invigilator": { - "agent": { - "traits": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Agent" - }, - "question": { - "question_name": "ice_cream", - "question_text": "How much do you like ice cream?", - "question_options": [ - 1, - 2, - 3, - 4, - 5 - ], - "option_labels": { - "1": "I hate it", - "5": "I love it" - }, - "question_type": "linear_scale", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - "scenario": { - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - }, - "memory_plan": { - "survey_question_names": [ - "never_eat", - "extract_name", - "how_are_you", - "list_of_foods", - "child_happiness", - "how_feeling", - "age", - "food_budget", - "rank_foods", - "happy_raining", - "ice_cream", - "is_it_equal", - "two_fruits" - ], - "survey_question_texts": [ - "Which of the following foods would you eat if you had to?", - "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", - "How are you?", - "What are your favorite foods?", - "How happy would you be with different numbers of children?", - "How are you?", - "You are a 45 year old man. How old are you in years?", - "How would you allocate $100?", - "Rank your favorite foods.", - "I'm only happy when it rains.", - "How much do you like ice cream?", - "Is 5 + 5 equal to 11?", - "Which of the following fruits do you prefer?" - ], - "data": {} - }, - "current_answers": { - "how_are_you_generated_tokens": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", - "how_are_you": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", - "happy_raining_generated_tokens": "Neutral\n\nThis phrase could be interpreted in different ways, such as metaphorically or literally, and without additional context, it's difficult to determine a specific stance.", - "happy_raining": "Neutral", - "happy_raining_comment": "This phrase could be interpreted in different ways, such as metaphorically or literally, and without additional context, it's difficult to determine a specific stance.", - "never_eat_generated_tokens": "[3, 4]", - "never_eat": [ - "panda milk custard", - "McDonalds" - ], - "food_budget_generated_tokens": "[30,20,30,20] \nI allocated more to pizza and burgers as they are generally more filling and popular, while ice cream and salad received less as they might be considered more as side options or desserts.", - "food_budget": [ - { - "Pizza": 30.0 - }, - { - "Ice Cream": 20.0 - }, - { - "Burgers": 30.0 - }, - { - "Salad": 20.0 - } - ], - "food_budget_comment": "I allocated more to pizza and burgers as they are generally more filling and popular, while ice cream and salad received less as they might be considered more as side options or desserts.", - "two_fruits_generated_tokens": "```json\n{\n \"answer\": [0, 1],\n \"comment\": \"I prefer apple and banana because they are both commonly enjoyed fruits that are versatile and can be consumed in various ways. Carrot is a vegetable, not a fruit, and durian has a strong odor that not everyone finds appealing.\"\n}\n```", - "two_fruits": [ - "apple", - "banana" - ], - "two_fruits_comment": "```", - "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza and pasta are versatile, comfort foods that can be customized with a variety of flavors and ingredients, making them both delicious and satisfying.", - "rank_foods": [ - "Pizza", - "Pasta" - ], - "rank_foods_comment": "Pizza and pasta are versatile, comfort foods that can be customized with a variety of flavors and ingredients, making them both delicious and satisfying.", - "extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe name \"Moby Dick\" and the profession \"Truck Driver\" were extracted from the input. The PhD in astrology is not considered a profession for this context.", - "extract_name": { - "name": "Moby Dick", - "profession": "Truck Driver" - }, - "extract_name_comment": "The name \"Moby Dick\" and the profession \"Truck Driver\" were extracted from the input. The PhD in astrology is not considered a profession for this context.", - "is_it_equal_generated_tokens": "No\n\n5 + 5 equals 10, not 11.", - "is_it_equal": "No", - "is_it_equal_comment": "5 + 5 equals 10, not 11.", - "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese choices are popular and diverse, representing different cuisines and flavors that many people enjoy.", - "list_of_foods": [ - "Pizza", - "Sushi", - "Chocolate" - ], - "list_of_foods_comment": "These choices are popular and diverse, representing different cuisines and flavors that many people enjoy.", - "age_generated_tokens": "45", - "age": 45, - "child_happiness_generated_tokens": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 4}\n\nHaving no children might feel neutral to me, as it allows for more personal freedom and fewer responsibilities. One child could bring joy and a sense of fulfillment, so a higher level of happiness. Two children might enhance family dynamics and provide companionship for each other, increasing happiness. Three or more children could bring even more joy and a lively home environment, though it also comes with more challenges, so I rate it the same as two children.", - "child_happiness": { - "No children": 2, - "1 child": 3, - "2 children": 4, - "3 or more children": 4 - }, - "child_happiness_comment": "Having no children might feel neutral to me, as it allows for more personal freedom and fewer responsibilities. One child could bring joy and a sense of fulfillment, so a higher level of happiness. Two children might enhance family dynamics and provide companionship for each other, increasing happiness. Three or more children could bring even more joy and a lively home environment, though it also comes with more challenges, so I rate it the same as two children.", - "how_feeling_generated_tokens": "Great", - "how_feeling": "Great", - "ice_cream": null - }, - "iteration": 0, - "additional_prompt_data": null, - "survey": { - "questions": [ - { - "question_name": "never_eat", - "question_text": "Which of the following foods would you eat if you had to?", - "min_selections": 2, - "max_selections": 5, - "question_options": [ - "soggy meatpie", - "rare snails", - "mouldy bread", - "panda milk custard", - "McDonalds" - ], - "include_comment": false, - "use_code": true, - "question_type": "checkbox", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "extract_name", - "question_text": "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", - "answer_template": { - "name": "John Doe", - "profession": "Carpenter" - }, - "question_type": "extract", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "how_are_you", - "question_text": "How are you?", - "question_type": "free_text", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "list_of_foods", - "question_text": "What are your favorite foods?", - "question_type": "list", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "child_happiness", - "question_text": "How happy would you be with different numbers of children?", - "question_items": [ - "No children", - "1 child", - "2 children", - "3 or more children" - ], - "question_options": [ - 1, - 2, - 3, - 4, - 5 - ], - "option_labels": { - "1": "Very sad", - "3": "Neutral", - "5": "Extremely happy" - }, - "question_type": "matrix", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "how_feeling", - "question_text": "How are you?", - "question_options": [ - "Good", - "Great", - "OK", - "Bad" - ], - "include_comment": false, - "question_type": "multiple_choice", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "age", - "question_text": "You are a 45 year old man. How old are you in years?", - "min_value": 0, - "max_value": 86.7, - "include_comment": false, - "question_type": "numerical", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "food_budget", - "question_text": "How would you allocate $100?", - "question_options": [ - "Pizza", - "Ice Cream", - "Burgers", - "Salad" - ], - "budget_sum": 100, - "question_type": "budget", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "rank_foods", - "question_text": "Rank your favorite foods.", - "question_options": [ - "Pizza", - "Pasta", - "Salad", - "Soup" - ], - "num_selections": 2, - "question_type": "rank", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "happy_raining", - "question_text": "I'm only happy when it rains.", - "question_options": [ - "Strongly disagree", - "Disagree", - "Neutral", - "Agree", - "Strongly agree" - ], - "question_type": "likert_five", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "ice_cream", - "question_text": "How much do you like ice cream?", - "question_options": [ - 1, - 2, - 3, - 4, - 5 - ], - "option_labels": { - "1": "I hate it", - "5": "I love it" - }, - "question_type": "linear_scale", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "is_it_equal", - "question_text": "Is 5 + 5 equal to 11?", - "question_options": [ - "No", - "Yes" - ], - "question_type": "yes_no", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "two_fruits", - "question_text": "Which of the following fruits do you prefer?", - "min_selections": 2, - "max_selections": 2, - "question_options": [ - "apple", - "banana", - "carrot", - "durian" - ], - "use_code": true, - "question_type": "top_k", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - ], - "memory_plan": { - "survey_question_names": [ - "never_eat", - "extract_name", - "how_are_you", - "list_of_foods", - "child_happiness", - "how_feeling", - "age", - "food_budget", - "rank_foods", - "happy_raining", - "ice_cream", - "is_it_equal", - "two_fruits" - ], - "survey_question_texts": [ - "Which of the following foods would you eat if you had to?", - "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", - "How are you?", - "What are your favorite foods?", - "How happy would you be with different numbers of children?", - "How are you?", - "You are a 45 year old man. How old are you in years?", - "How would you allocate $100?", - "Rank your favorite foods.", - "I'm only happy when it rains.", - "How much do you like ice cream?", - "Is 5 + 5 equal to 11?", - "Which of the following fruits do you prefer?" - ], - "data": {} - }, - "rule_collection": { - "rules": [ - { - "current_q": 0, - "expression": "True", - "next_q": 1, - "priority": -1, - "question_name_to_index": { - "never_eat": 0 - }, - "before_rule": false - }, - { - "current_q": 1, - "expression": "True", - "next_q": 2, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1 - }, - "before_rule": false - }, - { - "current_q": 2, - "expression": "True", - "next_q": 3, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2 - }, - "before_rule": false - }, - { - "current_q": 3, - "expression": "True", - "next_q": 4, - "priority": -1, - "question_name_to_index": { - "never_eat": 0, - "extract_name": 1, - "how_are_you": 2, - 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{ - "current_q": 1, - "expression": "True", - "next_q": 2, - "priority": -1, - "question_name_to_index": { - "q_extract": 0, - "concepts": 1 - }, - "before_rule": false - }, - { - "current_q": 2, - "expression": "True", - "next_q": 3, - "priority": -1, - "question_name_to_index": { - "q_extract": 0, - "concepts": 1, - "sentiment": 2 - }, - "before_rule": false - } - ], - "num_questions": 3 - }, - "question_groups": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Survey" - }, - "scenario": { - "text": "Tune in as I deliver the keynote address at the U.S. Holocaust Memorial Museum\u2019s Annual Days of Remembrance ceremony in Washington, D.C.", - "q_extract_content": "\n \"The Simpsons\" is an iconic American animated sitcom created by Matt Groening that debuted in 1989 on the Fox network. \n The show is set in the fictional town of Springfield and centers on the Simpsons family, consisting of the bumbling but well-intentioned father Homer, the caring and patient mother Marge, and their three children: mischievous Bart, intelligent Lisa, and baby Maggie. \n Renowned for its satirical take on the typical American family and society, the series delves into themes of politics, religion, and pop culture with a distinct blend of humor and wit. \n Its longevity, marked by over thirty seasons, makes it one of the longest-running television series in history, influencing many other sitcoms and becoming deeply ingrained in popular culture.\n ", - "scenario_index": 0, - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - }, - "iteration": 0, - "exceptions": { - "q_extract": [ - { - "exception": { - "type": "QuestionAnswerValidationError", - "message": "1 validation error for AnswerModel\nanswer.main_characters_list\n Input should be a valid string [type=string_type, input_value=['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], input_type=list]\n For further information visit https://errors.pydantic.dev/2.10/v/string_type", - "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 163, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 137, in _handle_exception\n return self.validate(fixed_data, fix=True) # early return if validates\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer.main_characters_list\n Input should be a valid string [type=string_type, input_value=['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], input_type=list]\n For further information visit https://errors.pydantic.dev/2.10/v/string_type\n" - }, - "time": "2025-01-08T12:59:19.478878", - "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 163, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 137, in _handle_exception\n return self.validate(fixed_data, fix=True) # early return if validates\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer.main_characters_list\n Input should be a valid string [type=string_type, input_value=['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], input_type=list]\n For further information visit https://errors.pydantic.dev/2.10/v/string_type\n", - 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A nation of dreamers. And as Cinco de Mayo represents, a nation of freedom.", - "q_extract_content": "\n \"The Simpsons\" is an iconic American animated sitcom created by Matt Groening that debuted in 1989 on the Fox network. \n The show is set in the fictional town of Springfield and centers on the Simpsons family, consisting of the bumbling but well-intentioned father Homer, the caring and patient mother Marge, and their three children: mischievous Bart, intelligent Lisa, and baby Maggie. \n Renowned for its satirical take on the typical American family and society, the series delves into themes of politics, religion, and pop culture with a distinct blend of humor and wit. \n Its longevity, marked by over thirty seasons, makes it one of the longest-running television series in history, influencing many other sitcoms and becoming deeply ingrained in popular culture.\n ", - "scenario_index": 1, - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - }, - "iteration": 0, - "exceptions": { - "q_extract": [ - { - "exception": { - "type": "QuestionAnswerValidationError", - "message": "1 validation error for AnswerModel\nanswer.main_characters_list\n Input should be a valid string [type=string_type, input_value=['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], input_type=list]\n For further information visit https://errors.pydantic.dev/2.10/v/string_type", - "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 163, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 137, in _handle_exception\n return self.validate(fixed_data, fix=True) # early return if validates\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer.main_characters_list\n Input should be a valid string [type=string_type, input_value=['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], input_type=list]\n For further information visit https://errors.pydantic.dev/2.10/v/string_type\n" - }, - "time": "2025-01-08T12:59:49.503320", - "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 163, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 137, in _handle_exception\n return self.validate(fixed_data, fix=True) # early return if validates\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer.main_characters_list\n Input should be a valid string [type=string_type, input_value=['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], input_type=list]\n For further information visit https://errors.pydantic.dev/2.10/v/string_type\n", - "invigilator": { - "agent": { - "traits": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Agent" - }, - "question": { - "question_name": "q_extract", - "question_text": "Review the following text: {{ q_extract_content }}", - "answer_template": { - "main_characters_list": [ - "name", - "name" - ], - "location": "location", - "genre": "genre" - }, - "question_type": "extract", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - "scenario": { - "text": "We\u2019re a nation of immigrants. A nation of dreamers. And as Cinco de Mayo represents, a nation of freedom.", - "q_extract_content": "\n \"The Simpsons\" is an iconic American animated sitcom created by Matt Groening that debuted in 1989 on the Fox network. \n The show is set in the fictional town of Springfield and centers on the Simpsons family, consisting of the bumbling but well-intentioned father Homer, the caring and patient mother Marge, and their three children: mischievous Bart, intelligent Lisa, and baby Maggie. \n Renowned for its satirical take on the typical American family and society, the series delves into themes of politics, religion, and pop culture with a distinct blend of humor and wit. \n Its longevity, marked by over thirty seasons, makes it one of the longest-running television series in history, influencing many other sitcoms and becoming deeply ingrained in popular culture.\n ", - "scenario_index": 1, - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - }, - "memory_plan": { - "survey_question_names": [ - "q_extract", - "concepts", - "sentiment" - ], - "survey_question_texts": [ - "Review the following text: {{ q_extract_content }}", - "Identify the key concepts in the following text: {{ text }}", - "Identify the sentiment of this text: {{ text }}" - ], - "data": {} - }, - "current_answers": { - "sentiment_generated_tokens": "Positive\n\nThe text expresses a sense of pride and celebration about the nation's identity and values, which suggests a positive sentiment.", - "sentiment": "Positive", - "sentiment_comment": "The text expresses a sense of pride and celebration about the nation's identity and values, which suggests a positive sentiment.", - "concepts_generated_tokens": "[\"Immigrants\", \"Dreamers\", \"Cinco de Mayo\", \"Freedom\"] \nThe text emphasizes the themes of immigration, aspiration, cultural celebration, and liberty, which are encapsulated in these key concepts.", - "concepts": [ - "Immigrants", - "Dreamers", - "Cinco de Mayo", - "Freedom" - ], - "concepts_comment": "The text emphasizes the themes of immigration, aspiration, cultural celebration, and liberty, which are encapsulated in these key concepts.", - "q_extract": null - }, - "iteration": 0, - "additional_prompt_data": null, - "survey": { - "questions": [ - { - "question_name": "q_extract", - "question_text": "Review the following text: {{ q_extract_content }}", - "answer_template": { - "main_characters_list": [ - "name", - "name" - ], - "location": "location", - "genre": "genre" - }, - "question_type": "extract", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "concepts", - "question_text": "Identify the key concepts in the following text: {{ text }}", - "max_list_items": 4, - "question_type": "list", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "sentiment", - "question_text": "Identify the sentiment of this text: {{ text }}", - "question_options": [ - "Positive", - "Neutral", - "Negative" - ], - "question_type": "multiple_choice", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - ], - "memory_plan": { - "survey_question_names": [ - "q_extract", - "concepts", - "sentiment" - ], - "survey_question_texts": [ - "Review the following text: {{ q_extract_content }}", - "Identify the key concepts in the following text: {{ text }}", - "Identify the sentiment of this text: {{ text }}" - ], - "data": {} - }, - "rule_collection": { - "rules": [ - { - "current_q": 0, - "expression": "True", - "next_q": 1, - "priority": -1, - "question_name_to_index": { - "q_extract": 0 - }, - "before_rule": false - }, - { - "current_q": 1, - "expression": "True", - "next_q": 2, - "priority": -1, - "question_name_to_index": { - "q_extract": 0, - "concepts": 1 - }, - "before_rule": false - }, - { - "current_q": 2, - "expression": "True", - "next_q": 3, - "priority": -1, - "question_name_to_index": { - "q_extract": 0, - "concepts": 1, - "sentiment": 2 - }, - "before_rule": false - } - ], - "num_questions": 3 - }, - "question_groups": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Survey" - } - } - } - ] - }, - "indices": { - "agent": 0, - "model": 0, - "scenario": 1 - } - }, - { - "agent": { - "traits": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Agent" - }, - "survey": { - "questions": [ - { - "question_name": "q_extract", - "question_text": "Review the following text: {{ q_extract_content }}", - "answer_template": { - "main_characters_list": [ - "name", - "name" - ], - "location": "location", - "genre": "genre" - }, - "question_type": "extract", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "concepts", - "question_text": "Identify the key concepts in the following text: {{ text }}", - "max_list_items": 4, - "question_type": "list", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "sentiment", - "question_text": "Identify the sentiment of this text: {{ text }}", - "question_options": [ - "Positive", - "Neutral", - "Negative" - ], - "question_type": "multiple_choice", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - ], - "memory_plan": { - "survey_question_names": [ - "q_extract", - "concepts", - "sentiment" - ], - "survey_question_texts": [ - "Review the following text: {{ q_extract_content }}", - "Identify the key concepts in the following text: {{ text }}", - "Identify the sentiment of this text: {{ text }}" - ], - "data": {} - }, - "rule_collection": { - "rules": [ - { - "current_q": 0, - "expression": "True", - "next_q": 1, - "priority": -1, - "question_name_to_index": { - "q_extract": 0 - }, - "before_rule": false - }, - { - "current_q": 1, - "expression": "True", - "next_q": 2, - "priority": -1, - "question_name_to_index": { - "q_extract": 0, - "concepts": 1 - }, - "before_rule": false - }, - { - "current_q": 2, - "expression": "True", - "next_q": 3, - "priority": -1, - "question_name_to_index": { - "q_extract": 0, - "concepts": 1, - "sentiment": 2 - }, - "before_rule": false - } - ], - "num_questions": 3 - }, - "question_groups": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Survey" - }, - "scenario": { - "text": "Medicare is stronger and Social Security remains strong. My economic plan has helped extend Medicare solvency by a decade. And I am committed to extending Social Security solvency by making the rich pay their fair share.", - "q_extract_content": "\n \"The Simpsons\" is an iconic American animated sitcom created by Matt Groening that debuted in 1989 on the Fox network. \n The show is set in the fictional town of Springfield and centers on the Simpsons family, consisting of the bumbling but well-intentioned father Homer, the caring and patient mother Marge, and their three children: mischievous Bart, intelligent Lisa, and baby Maggie. \n Renowned for its satirical take on the typical American family and society, the series delves into themes of politics, religion, and pop culture with a distinct blend of humor and wit. \n Its longevity, marked by over thirty seasons, makes it one of the longest-running television series in history, influencing many other sitcoms and becoming deeply ingrained in popular culture.\n ", - "scenario_index": 2, - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - }, - "iteration": 0, - "exceptions": { - "q_extract": [ - { - "exception": { - "type": "QuestionAnswerValidationError", - "message": "1 validation error for AnswerModel\nanswer.main_characters_list\n Input should be a valid string [type=string_type, input_value=['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], input_type=list]\n For further information visit https://errors.pydantic.dev/2.10/v/string_type", - "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 163, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 137, in _handle_exception\n return self.validate(fixed_data, fix=True) # early return if validates\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer.main_characters_list\n Input should be a valid string [type=string_type, input_value=['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], input_type=list]\n For further information visit https://errors.pydantic.dev/2.10/v/string_type\n" - }, - "time": "2025-01-08T13:00:01.551117", - "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer\n Input should be a valid dictionary or instance of DynamicModel [type=model_type, input_value=None, input_type=NoneType]\n For further information visit https://errors.pydantic.dev/2.10/v/model_type\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 163, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 137, in _handle_exception\n return self.validate(fixed_data, fix=True) # early return if validates\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for AnswerModel\nanswer.main_characters_list\n Input should be a valid string [type=string_type, input_value=['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], input_type=list]\n For further information visit https://errors.pydantic.dev/2.10/v/string_type\n", - "invigilator": { - "agent": { - "traits": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Agent" - }, - "question": { - "question_name": "q_extract", - "question_text": "Review the following text: {{ q_extract_content }}", - "answer_template": { - "main_characters_list": [ - "name", - "name" - ], - "location": "location", - "genre": "genre" - }, - "question_type": "extract", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - "scenario": { - "text": "Medicare is stronger and Social Security remains strong. My economic plan has helped extend Medicare solvency by a decade. And I am committed to extending Social Security solvency by making the rich pay their fair share.", - "q_extract_content": "\n \"The Simpsons\" is an iconic American animated sitcom created by Matt Groening that debuted in 1989 on the Fox network. \n The show is set in the fictional town of Springfield and centers on the Simpsons family, consisting of the bumbling but well-intentioned father Homer, the caring and patient mother Marge, and their three children: mischievous Bart, intelligent Lisa, and baby Maggie. \n Renowned for its satirical take on the typical American family and society, the series delves into themes of politics, religion, and pop culture with a distinct blend of humor and wit. \n Its longevity, marked by over thirty seasons, makes it one of the longest-running television series in history, influencing many other sitcoms and becoming deeply ingrained in popular culture.\n ", - "scenario_index": 2, - "edsl_version": "0.1.39", - "edsl_class_name": "Scenario" - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - }, - "edsl_version": "0.1.39", - "edsl_class_name": "LanguageModel" - }, - "memory_plan": { - "survey_question_names": [ - "q_extract", - "concepts", - "sentiment" - ], - "survey_question_texts": [ - "Review the following text: {{ q_extract_content }}", - "Identify the key concepts in the following text: {{ text }}", - "Identify the sentiment of this text: {{ text }}" - ], - "data": {} - }, - "current_answers": { - "sentiment_generated_tokens": "Positive \nThe text conveys a sense of accomplishment and commitment to strengthening Medicare and Social Security, which are generally viewed positively.", - "sentiment": "Positive", - "sentiment_comment": "The text conveys a sense of accomplishment and commitment to strengthening Medicare and Social Security, which are generally viewed positively.", - "concepts_generated_tokens": "[\"Medicare solvency\", \"Social Security solvency\", \"economic plan\", \"fair share taxation\"] \nThese concepts capture the main points of the text: the focus on strengthening Medicare and Social Security, the role of the economic plan in extending Medicare's solvency, and the commitment to ensuring Social Security's longevity through fair taxation of the wealthy.", - "concepts": [ - "Medicare solvency", - "Social Security solvency", - "economic plan", - "fair share taxation" - ], - "concepts_comment": "These concepts capture the main points of the text: the focus on strengthening Medicare and Social Security, the role of the economic plan in extending Medicare's solvency, and the commitment to ensuring Social Security's longevity through fair taxation of the wealthy.", - "q_extract": null - }, - "iteration": 0, - "additional_prompt_data": null, - "survey": { - "questions": [ - { - "question_name": "q_extract", - "question_text": "Review the following text: {{ q_extract_content }}", - "answer_template": { - "main_characters_list": [ - "name", - "name" - ], - "location": "location", - "genre": "genre" - }, - "question_type": "extract", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "concepts", - "question_text": "Identify the key concepts in the following text: {{ text }}", - "max_list_items": 4, - "question_type": "list", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - }, - { - "question_name": "sentiment", - "question_text": "Identify the sentiment of this text: {{ text }}", - "question_options": [ - "Positive", - "Neutral", - "Negative" - ], - "question_type": "multiple_choice", - "edsl_version": "0.1.39", - "edsl_class_name": "QuestionBase" - } - ], - "memory_plan": { - "survey_question_names": [ - "q_extract", - "concepts", - "sentiment" - ], - "survey_question_texts": [ - "Review the following text: {{ q_extract_content }}", - "Identify the key concepts in the following text: {{ text }}", - "Identify the sentiment of this text: {{ text }}" - ], - "data": {} - }, - "rule_collection": { - "rules": [ - { - "current_q": 0, - "expression": "True", - "next_q": 1, - "priority": -1, - "question_name_to_index": { - "q_extract": 0 - }, - "before_rule": false - }, - { - "current_q": 1, - "expression": "True", - "next_q": 2, - "priority": -1, - "question_name_to_index": { - "q_extract": 0, - "concepts": 1 - }, - "before_rule": false - }, - { - "current_q": 2, - "expression": "True", - "next_q": 3, - "priority": -1, - "question_name_to_index": { - "q_extract": 0, - "concepts": 1, - "sentiment": 2 - }, - "before_rule": false - } - ], - "num_questions": 3 - }, - "question_groups": {}, - "edsl_version": "0.1.39", - "edsl_class_name": "Survey" - } - } - } - ] - }, - "indices": { - "agent": 0, - "model": 0, - "scenario": 2 - } - } - ], - "include_traceback": false, - "edsl_version": "0.1.39", - "edsl_class_name": "TaskHistory" - } - } - }, - { - "class_name": "Results", - "dict": { - "data": [ - { - "agent": { - "traits": {} - }, - "scenario": { - "scenario_index": 0 - }, - "model": { - "model": "gpt-4o", - "parameters": { - "temperature": 0.5, - "max_tokens": 1000, - "top_p": 1, - "frequency_penalty": 0, - "presence_penalty": 0, - "logprobs": false, - "top_logprobs": 3 - } - }, - "iteration": 0, - "answer": { - "color": "Blue", - "day": null, - "winter": null, - "birds": null - }, - "prompt": { - "color_user_prompt": { - "text": "\nWhat is your favorite color?\n\n \nRed\n \nOrange\n \nYellow\n \nGreen\n \nBlue\n \nPurple\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", - "class_name": "Prompt" - }, - "color_system_prompt": { - "text": "", - "class_name": "Prompt" - }, - "day_user_prompt": { - "text": "\nWhat is your favorite day of the week?\n\n \nSun\n \nMon\n \nTue\n \nWed\n \nThu\n \nFri\n \nSat\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.\n Before the question you are now answering, you already answered the following question(s):\n \tQuestion: What is your favorite color?\n\tAnswer: None", - "class_name": "Prompt" - }, - "day_system_prompt": { - "text": "", - "class_name": "Prompt" - }, - "winter_user_prompt": { - "text": "How much do you enjoy winter?\n\n0 : Hate it\n\n1 : \n\n2 : \n\n3 : \n\n4 : \n\n5 : Love it\n\nOnly 1 option may be selected.\n\nRespond only with the code corresponding to one of the options. E.g., \"1\" or \"5\" by itself.\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.\n Before the question you are now answering, you already answered the following question(s):\n \tQuestion: What is your favorite color?\n\tAnswer: None\n\n Prior questions and answers:\tQuestion: What is your favorite day of the week?\n\tAnswer: None", - "class_name": "Prompt" - }, - "winter_system_prompt": { - "text": "", - "class_name": "Prompt" - }, - "birds_user_prompt": { - "text": "Which birds do you like best?\n\n \n0: Parrot\n \n1: Osprey\n \n2: Falcon\n \n3: Eagle\n \n4: First Robin of Spring\n \n\n\n\n\nYou must select exactly 2 options.\n\n\nPlease respond with valid JSON, formatted like so:\n\n {\"answer\": [], \"comment\": \"\"}\n Before the question you are now answering, you already answered the following question(s):\n \tQuestion: What is your favorite day of the week?\n\tAnswer: None\n\n Prior questions and answers:\tQuestion: How much do you enjoy winter?\n\tAnswer: None\n\n Prior questions and answers:\tQuestion: What is your favorite color?\n\tAnswer: None", - "class_name": "Prompt" - }, - "birds_system_prompt": { - "text": "", - "class_name": "Prompt" - } - }, - "raw_model_response": { - "color_raw_model_response": null, - "color_cost": null, - "color_one_usd_buys": "NA", - "day_raw_model_response": null, - "day_cost": null, - "day_one_usd_buys": "NA", - "winter_raw_model_response": null, - "winter_cost": null, - "winter_one_usd_buys": "NA", - "birds_raw_model_response": null, - "birds_cost": null, - "birds_one_usd_buys": "NA" - }, - "question_to_attributes": null, - "generated_tokens": { - "color_generated_tokens": null, - "day_generated_tokens": null, - "winter_generated_tokens": null, - "birds_generated_tokens": null - }, - "comments_dict": { - "color_comment": "Task was cancelled.", - "day_comment": "Task was cancelled.", - "winter_comment": "Task was cancelled.", - "birds_comment": "Task was cancelled." - }, - "cache_used_dict": { - "color": null, - "day": null, - "winter": null, - "birds": null - } - } - ], - "survey": { - "questions": [ - { - "question_name": "color", - "question_text": "What is your favorite color?", - "question_options": [ - "Red", - "Orange", - "Yellow", - "Green", - "Blue", - "Purple" - ], - "question_type": "multiple_choice" - }, - { - "question_name": "day", - "question_text": "What is your favorite day of the week?", - "question_options": [ - "Sun", - "Mon", - "Tue", - "Wed", - "Thu", - "Fri", - "Sat" - ], - "question_type": "multiple_choice" - }, - { - "question_name": "winter", - "question_text": "How much do you enjoy winter?", - "question_options": [ - 0, - 1, - 2, - 3, - 4, - 5 - ], - "option_labels": { - "0": "Hate it", - "5": "Love it" - }, - "question_type": "linear_scale" - }, - { - "question_name": "birds", - "question_text": "Which birds do you like best?", - "min_selections": 2, - "max_selections": 2, - "question_options": [ - "Parrot", - "Osprey", - "Falcon", - "Eagle", - "First Robin of Spring" - ], - "use_code": true, - "question_type": "top_k" - } - ], - "memory_plan": { - "survey_question_names": [ - "color", - "day", - "winter", - "birds" - ], - "survey_question_texts": [ - "What is your favorite color?", - "What is your favorite day of the week?", - "How much do you enjoy winter?", - "Which birds do you like best?" - ], - "data": { - "day": { - "prior_questions": [ - "color" - ] - }, - "winter": { - "prior_questions": [ - "color", - "day" - ] - }, - "birds": { - "prior_questions": [ - "day", - "winter", - "color" - ] - } - } - }, - "rule_collection": { - "rules": [ - { - "current_q": 0, - "expression": "True", - "next_q": 1, - "priority": -1, - "question_name_to_index": { - "color": 0 - }, - "before_rule": false - }, - { - "current_q": 1, - "expression": "True", - "next_q": 2, - "priority": -1, - "question_name_to_index": { - "color": 0, - "day": 1 - }, - "before_rule": false - }, - { - "current_q": 2, - "expression": "True", - "next_q": 3, - "priority": -1, - "question_name_to_index": { - "color": 0, - "day": 1, - "winter": 2 - }, - "before_rule": false - }, - { - "current_q": 3, - "expression": "True", - "next_q": 4, - "priority": -1, - "question_name_to_index": { - "color": 0, - "day": 1, - "winter": 2, - "birds": 3 - }, - "before_rule": false - }, - { - "current_q": 3, - "expression": "color == 'Blue'", - "next_q": 4, - "priority": 0, - "question_name_to_index": { - "color": 0, - "day": 1, - "winter": 2, - "birds": 3 - }, - "before_rule": true - }, - { - "current_q": 0, - "expression": "color == 'Blue'", - "next_q": "EndOfSurvey", - "priority": 0, - "question_name_to_index": { - "color": 0, - "day": 1, - "winter": 2, - "birds": 3 - }, - "before_rule": false - }, - { - "current_q": 0, - "expression": "color == 'Red'", - "next_q": 2, - "priority": 1, - "question_name_to_index": { - "color": 0, - "day": 1, - "winter": 2, - "birds": 3 - }, - "before_rule": false - } - ], - "num_questions": 4 - }, - 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", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}}, {"class_name": "Results", "dict": {"data": [{"agent": {"traits": {"status": "Joyful"}}, "scenario": {"period": "morning", "scenario_index": 0}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"how_feeling": "OK", "how_feeling_yesterday": "Great"}, "prompt": {"how_feeling_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_system_prompt": {"text": "NA", "class_name": "Prompt"}}, "raw_model_response": {"how_feeling_raw_model_response": "Not Applicable", "how_feeling_cost": null, "how_feeling_one_usd_buys": "NA", "how_feeling_yesterday_raw_model_response": "Not Applicable", "how_feeling_yesterday_cost": null, "how_feeling_yesterday_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"how_feeling_generated_tokens": "Not Applicable", "how_feeling_yesterday_generated_tokens": "Not Applicable"}, "comments_dict": {"how_feeling_comment": "This is a real survey response from a human.", "how_feeling_yesterday_comment": "This is a real survey response from a human."}, "cache_used_dict": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}, "cache_keys": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}}, {"agent": {"traits": {"status": "Joyful"}}, "scenario": {"period": "afternoon", "scenario_index": 1}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"how_feeling": "Great", "how_feeling_yesterday": "Good"}, "prompt": {"how_feeling_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_system_prompt": {"text": "NA", "class_name": "Prompt"}}, "raw_model_response": {"how_feeling_raw_model_response": "Not Applicable", "how_feeling_cost": null, "how_feeling_one_usd_buys": "NA", "how_feeling_yesterday_raw_model_response": "Not Applicable", "how_feeling_yesterday_cost": null, "how_feeling_yesterday_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"how_feeling_generated_tokens": "Not Applicable", "how_feeling_yesterday_generated_tokens": "Not Applicable"}, "comments_dict": {"how_feeling_comment": "This is a real survey response from a human.", "how_feeling_yesterday_comment": "This is a real survey response from a human."}, "cache_used_dict": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}, "cache_keys": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}}, {"agent": {"traits": {"status": "Sad"}}, "scenario": {"period": "morning", "scenario_index": 0}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"how_feeling": "Terrible", "how_feeling_yesterday": "OK"}, "prompt": {"how_feeling_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_system_prompt": {"text": "NA", "class_name": "Prompt"}}, "raw_model_response": {"how_feeling_raw_model_response": "Not Applicable", "how_feeling_cost": null, "how_feeling_one_usd_buys": "NA", "how_feeling_yesterday_raw_model_response": "Not Applicable", "how_feeling_yesterday_cost": null, "how_feeling_yesterday_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"how_feeling_generated_tokens": "Not Applicable", "how_feeling_yesterday_generated_tokens": "Not Applicable"}, "comments_dict": {"how_feeling_comment": "This is a real survey response from a human.", "how_feeling_yesterday_comment": "This is a real survey response from a human."}, "cache_used_dict": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}, "cache_keys": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}}, {"agent": {"traits": {"status": "Sad"}}, "scenario": {"period": "afternoon", "scenario_index": 1}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"how_feeling": "OK", "how_feeling_yesterday": "Terrible"}, "prompt": {"how_feeling_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_system_prompt": {"text": "NA", "class_name": "Prompt"}}, "raw_model_response": {"how_feeling_raw_model_response": "Not Applicable", "how_feeling_cost": null, "how_feeling_one_usd_buys": "NA", "how_feeling_yesterday_raw_model_response": "Not Applicable", "how_feeling_yesterday_cost": null, "how_feeling_yesterday_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"how_feeling_generated_tokens": "Not Applicable", "how_feeling_yesterday_generated_tokens": "Not Applicable"}, "comments_dict": {"how_feeling_comment": "This is a real survey response from a human.", "how_feeling_yesterday_comment": "This is a real survey response from a human."}, "cache_used_dict": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}, "cache_keys": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}}], "survey": {"questions": [{"question_name": "how_feeling", "question_text": "How are you this {{ period }}?", "question_options": ["Good", "Great", "OK", "Terrible"], "question_type": "multiple_choice"}, {"question_name": "how_feeling_yesterday", "question_text": "How were you feeling yesterday {{ period }}?", "question_options": ["Good", "Great", "OK", "Terrible"], "question_type": "multiple_choice"}], "memory_plan": {"survey_question_names": ["how_feeling", "how_feeling_yesterday"], "survey_question_texts": ["How are you this {{ period }}?", "How were you feeling yesterday {{ period }}?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"how_feeling": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"how_feeling": 0, "how_feeling_yesterday": 1}, "before_rule": false}], "num_questions": 2}, "question_groups": {}}, "created_columns": [], "cache": {}}}, {"class_name": "ScenarioList", "dict": {"scenarios": [{"persona": "A reseacher studying whether LLMs can be used to generate surveys.", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, {"persona": "A reseacher studying whether LLMs can be used to generate surveys.", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}], "edsl_version": "0.1.40", "edsl_class_name": "ScenarioList"}}, {"class_name": "AgentTraits", "dict": {"persona": "A reseacher studying whether LLMs can be used to generate surveys.", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}}, {"class_name": "Agent", "dict": {"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}}, {"class_name": "AgentList", "dict": {"agent_list": [{"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, {"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}], "edsl_version": "0.1.40", "edsl_class_name": "AgentList"}}, {"class_name": "Survey", "dict": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}}, {"class_name": "ModelList", "dict": {"models": [{"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}], "edsl_version": "0.1.40", "edsl_class_name": "ModelList"}}, {"class_name": "Cache", "dict": {"5513286eb6967abc0511211f0402587d": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5}, "system_prompt": "The quick brown fox jumps over the lazy dog.", "user_prompt": "What does the fox say?", "output": "The fox says 'hello'", "iteration": 1, "timestamp": 1736968392}, "edsl_version": "0.1.40", "edsl_class_name": "Cache"}}, {"class_name": "RunParameters", "dict": {"n": 1, "progress_bar": false, "stop_on_exception": false, "check_api_keys": false, "verbose": true, "print_exceptions": true, "remote_cache_description": null, "remote_inference_description": null, "remote_inference_results_visibility": "unlisted", "skip_retry": false, "raise_validation_errors": false, "disable_remote_cache": false, "disable_remote_inference": false, "job_uuid": null}}, {"class_name": "Result", "dict": {"agent": {"traits": {"status": "Joyful"}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "scenario": {"period": "morning", "scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "iteration": 0, "answer": {"how_feeling": "OK", "how_feeling_yesterday": "Great"}, "prompt": {"how_feeling_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_system_prompt": {"text": "NA", "class_name": "Prompt"}}, "raw_model_response": {"how_feeling_raw_model_response": "Not Applicable", "how_feeling_cost": null, "how_feeling_one_usd_buys": "NA", "how_feeling_yesterday_raw_model_response": "Not Applicable", "how_feeling_yesterday_cost": null, "how_feeling_yesterday_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"how_feeling_generated_tokens": "Not Applicable", "how_feeling_yesterday_generated_tokens": "Not Applicable"}, "comments_dict": {"how_feeling_comment": "This is a real survey response from a human.", "how_feeling_yesterday_comment": "This is a real survey response from a human."}, "cache_keys": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}, "edsl_version": "0.1.40", "edsl_class_name": "Result"}}, {"class_name": "Jobs", "dict": {"survey": {"questions": [{"question_name": "how_feeling", "question_text": "How are you this {{ period }}?", "question_options": ["Good", "Great", "OK", "Terrible"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "how_feeling_yesterday", "question_text": "How were you feeling yesterday {{ period }}?", "question_options": ["Good", "Great", "OK", "Terrible"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["how_feeling", "how_feeling_yesterday"], "survey_question_texts": ["How are you this {{ period }}?", "How were you feeling yesterday {{ period }}?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"how_feeling": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"how_feeling": 0, "how_feeling_yesterday": 1}, "before_rule": false}], "num_questions": 2}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}, "agents": [{"traits": {"status": "Joyful"}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, {"traits": {"status": "Sad"}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}], "models": [], "scenarios": [{"period": "morning", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, {"period": "afternoon", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}], "edsl_version": "0.1.40", "edsl_class_name": "Jobs"}}, {"class_name": "Notebook", "dict": {"name": "notebook", "data": {"metadata": {}, "nbformat": 4, "nbformat_minor": 4, "cells": [{"cell_type": "markdown", "metadata": {}, "source": "# Test notebook"}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": "Hello world!\n"}], "source": "print(\"Hello world!\")"}]}}}, {"class_name": "QuestionCheckBox", "dict": {"question_name": "never_eat", "question_text": "Which of the following foods would you eat if you had to?", "min_selections": 2, "max_selections": 5, "question_options": ["soggy meatpie", "rare snails", "mouldy bread", "panda milk custard", "McDonalds"], "include_comment": false, "use_code": true, "question_type": "checkbox", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionExtract", "dict": {"question_name": "extract_name", "question_text": "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", "answer_template": {"name": "John Doe", "profession": "Carpenter"}, "question_type": "extract", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionFreeText", "dict": {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionFunctional", "dict": {"question_name": "sum_and_multiply", "function_source_code": "def calculate_sum_and_multiply(scenario, agent_traits):\n numbers = scenario.get(\"numbers\", [])\n multiplier = agent_traits.get(\"multiplier\", 1) if agent_traits else 1\n sum = 0\n for num in numbers:\n sum = sum + num\n return sum * multiplier\n", "question_type": "functional", "requires_loop": true, "function_name": "calculate_sum_and_multiply", "edsl_version": "0.1.40", "edsl_class_name": "QuestionFunctional"}}, {"class_name": "QuestionList", "dict": {"question_name": "list_of_foods", "question_text": "What are your favorite foods?", "question_type": "list", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionMatrix", "dict": {"question_name": "child_happiness", "question_text": "How happy would you be with different numbers of children?", "question_items": ["No children", "1 child", "2 children", "3 or more children"], "question_options": [1, 2, 3, 4, 5], "option_labels": {"1": "Very sad", "3": "Neutral", "5": "Extremely happy"}, "question_type": "matrix", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionDict", "dict": {"question_type": "dict", "question_name": "example", "question_text": "Please provide a simple recipe for hot chocolate.", "answer_keys": ["title", "ingredients", "num_ingredients", "instructions"], "value_types": ["str", "list[str]", "int", "str"], "value_descriptions": ["The title of the recipe.", "A list of ingredients.", "The number of ingredients.", "The instructions for making the recipe."], "include_comment": true, "permissive": false}}, {"class_name": "QuestionMultipleChoice", "dict": {"question_name": "how_feeling", "question_text": "How are you?", "question_options": ["Good", "Great", "OK", "Bad"], "include_comment": false, "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionNumerical", "dict": {"question_name": "age", "question_text": "You are a 45 year old man. How old are you in years?", "min_value": 0, "max_value": 86.7, "include_comment": false, "question_type": "numerical", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionBudget", "dict": {"question_name": "food_budget", "question_text": "How would you allocate $100?", "question_options": ["Pizza", "Ice Cream", "Burgers", "Salad"], "budget_sum": 100, "question_type": "budget", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionRank", "dict": {"question_name": "rank_foods", "question_text": "Rank your favorite foods.", "question_options": ["Pizza", "Pasta", "Salad", "Soup"], "num_selections": 2, "question_type": "rank", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionLikertFive", "dict": {"question_name": "happy_raining", "question_text": "I'm only happy when it rains.", "question_options": ["Strongly disagree", "Disagree", "Neutral", "Agree", "Strongly agree"], "question_type": "likert_five", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionLinearScale", "dict": {"question_name": "ice_cream", "question_text": "How much do you like ice cream?", "question_options": [1, 2, 3, 4, 5], "option_labels": {"1": "I hate it", "5": "I love it"}, "question_type": "linear_scale", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionYesNo", "dict": {"question_name": "is_it_equal", "question_text": "Is 5 + 5 equal to 11?", "question_options": ["No", "Yes"], "question_type": "yes_no", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionTopK", "dict": {"question_name": "two_fruits", "question_text": "Which of the following fruits do you prefer?", "min_selections": 2, "max_selections": 2, "question_options": ["apple", "banana", "carrot", "durian"], "use_code": true, "question_type": "top_k", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "LanguageModel", "dict": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}}, {"class_name": "Results", "dict": {"data": [{"agent": {"traits": {"persona": "You are a scientist", "age": 20}}, "scenario": {"scenario_index": 0}, "model": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"q0": "yes", "q1": null, "q2": null}, "prompt": {"q0_user_prompt": {"text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q0_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}, "q1_user_prompt": {"text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q1_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}, "q2_user_prompt": {"text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q2_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}}, "raw_model_response": {"q0_raw_model_response": null, "q0_cost": null, "q0_one_usd_buys": "NA", "q1_raw_model_response": null, "q1_cost": null, "q1_one_usd_buys": "NA", "q2_raw_model_response": null, "q2_cost": null, "q2_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": null, "q1_generated_tokens": null, "q2_generated_tokens": null}, "comments_dict": {"q0_comment": "Task was cancelled.", "q1_comment": "Task was cancelled.", "q2_comment": "Question answer validation failed."}, "cache_used_dict": {"q0": null, "q1": null, "q2": null}, "cache_keys": {"q0": null, "q1": null, "q2": null}}, {"agent": {"traits": {"persona": "You are a scientist", "age": 20}}, "scenario": {"scenario_index": 0}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"q0": "yes", "q1": null, "q2": "other"}, "prompt": {"q0_user_prompt": {"text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q0_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}, "q1_user_prompt": {"text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q1_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}, "q2_user_prompt": {"text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q2_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}}, "raw_model_response": {"q0_raw_model_response": null, "q0_cost": null, "q0_one_usd_buys": "NA", "q1_raw_model_response": null, "q1_cost": null, "q1_one_usd_buys": "NA", "q2_raw_model_response": {"id": "chatcmpl-Aq37SKohvo31u9C3D01xUG7oz2xme", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\n\nThe lack of killer bees in a cafeteria is not typically an issue that requires an explanation, as it is expected for such spaces to be free from dangerous insects.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968410, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 35, "prompt_tokens": 100, "total_tokens": 135, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "q2_cost": 0.0006000000000000001, "q2_one_usd_buys": 1666.6666666666665}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": null, "q1_generated_tokens": null, "q2_generated_tokens": "other\n\nThe lack of killer bees in a cafeteria is not typically an issue that requires an explanation, as it is expected for such spaces to be free from dangerous insects."}, "comments_dict": {"q0_comment": "Task was cancelled.", "q1_comment": "Task was cancelled.", "q2_comment": "The lack of killer bees in a cafeteria is not typically an issue that requires an explanation, as it is expected for such spaces to be free from dangerous insects."}, "cache_used_dict": {"q0": null, "q1": null, "q2": false}, "cache_keys": {"q0": null, "q1": null, "q2": "12e0a72c9660a93ec1dd54f5b0f4afd6"}}, {"agent": {"traits": {"persona": "You are a chef", "age": 40}}, "scenario": {"scenario_index": 0}, "model": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"q0": "no", "q1": "other", "q2": "other"}, "prompt": {"q0_user_prompt": {"text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q0_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}, "q1_user_prompt": {"text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q1_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}, "q2_user_prompt": {"text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q2_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}}, "raw_model_response": {"q0_raw_model_response": {"id": "chatcmpl-Aq37ePKaecWsA8F0JnNEC28xe5v4I", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "no\nI prefer hands-on learning in the kitchen rather than traditional schooling.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968422, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 16, "prompt_tokens": 96, "total_tokens": 112, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "q0_cost": 0.000383999232001536, "q0_one_usd_buys": 2604.171875, "q1_raw_model_response": {"id": "chatcmpl-Aq382Z4GJ6dzh3YbKwqIRWCp0rCQ2", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\n// As a chef, my expertise lies in cooking and food preparation, not handling dangerous situations like killer bees in a cafeteria.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968446, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 28, "prompt_tokens": 97, "total_tokens": 125, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "q1_cost": 0.000458999082001836, "q1_one_usd_buys": 2178.653594771242, "q2_raw_model_response": {"id": "chatcmpl-Aq37q53jTXTbtzmnwt9QyqDDNWV49", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\nI chose \"other\" because I am a chef and not directly involved in the presence or absence of killer bees in the cafeteria.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968434, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 29, "prompt_tokens": 101, "total_tokens": 130, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "q2_cost": 0.000476999046001908, "q2_one_usd_buys": 2096.4402515723273}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": "no\nI prefer hands-on learning in the kitchen rather than traditional schooling.", "q1_generated_tokens": "other\n// As a chef, my expertise lies in cooking and food preparation, not handling dangerous situations like killer bees in a cafeteria.", "q2_generated_tokens": "other\nI chose \"other\" because I am a chef and not directly involved in the presence or absence of killer bees in the cafeteria."}, "comments_dict": {"q0_comment": "I prefer hands-on learning in the kitchen rather than traditional schooling.", "q1_comment": "// As a chef, my expertise lies in cooking and food preparation, not handling dangerous situations like killer bees in a cafeteria.", "q2_comment": "I chose \"other\" because I am a chef and not directly involved in the presence or absence of killer bees in the cafeteria."}, "cache_used_dict": {"q0": false, "q1": false, "q2": false}, "cache_keys": {"q0": "21e756db3aaa193c16cfd8c6d6d8062f", "q1": "972cb8d998b4c5619ba393aa1a903c55", "q2": "9caa189087733075d64bebf97fd6ce63"}}, {"agent": {"traits": {"persona": "You are a chef", "age": 40}}, "scenario": {"scenario_index": 0}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"q0": "yes", "q1": null, "q2": "other"}, "prompt": {"q0_user_prompt": {"text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q0_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}, "q1_user_prompt": {"text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q1_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}, "q2_user_prompt": {"text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q2_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}}, "raw_model_response": {"q0_raw_model_response": null, "q0_cost": null, "q0_one_usd_buys": "NA", "q1_raw_model_response": null, "q1_cost": null, "q1_one_usd_buys": "NA", "q2_raw_model_response": {"id": "chatcmpl-Aq37wS9ntsYX9bx6GKcBDk4mgQxfJ", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\nThe absence of killer bees in a cafeteria is not a typical concern, so \"other\" seems more appropriate.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968440, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 25, "prompt_tokens": 100, "total_tokens": 125, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "q2_cost": 0.0005, "q2_one_usd_buys": 2000.0}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": null, "q1_generated_tokens": null, "q2_generated_tokens": "other\nThe absence of killer bees in a cafeteria is not a typical concern, so \"other\" seems more appropriate."}, "comments_dict": {"q0_comment": "Task was cancelled.", "q1_comment": "Task was cancelled.", "q2_comment": "The absence of killer bees in a cafeteria is not a typical concern, so \"other\" seems more appropriate."}, "cache_used_dict": {"q0": null, "q1": null, "q2": false}, "cache_keys": {"q0": null, "q1": null, "q2": "f7d94c309f5ec87ec4a9503960c6e43c"}}], "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}}, "created_columns": [], "cache": {}, "task_history": {"interviews": [{"agent": {"traits": {"persona": "You are a scientist", "age": 20}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {"q2": [{"exception": {"type": "QuestionAnswerValidationError", "message": "1 validation error for ChoiceResponse\nanswer\n Input should be '**lack*** of killer bees in cafeteria' or 'other' [type=literal_error, input_value='lack of killer bees in cafeteria', input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error", "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be '**lack*** of killer bees in cafeteria' or 'other' [type=literal_error, input_value='lack of killer bees in cafeteria', input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 164, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be '**lack*** of killer bees in cafeteria' or 'other' [type=literal_error, input_value='lack of killer bees in cafeteria', input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n"}, "time": "2025-01-15T19:13:36.524670", "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be '**lack*** of killer bees in cafeteria' or 'other' [type=literal_error, input_value='lack of killer bees in cafeteria', input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 164, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be '**lack*** of killer bees in cafeteria' or 'other' [type=literal_error, input_value='lack of killer bees in cafeteria', input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n", "invigilator": {"agent": {"traits": {"persona": "You are a scientist", "age": 20}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "question": {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "current_answers": {"q0_generated_tokens": "yes\nI enjoy school because it allows me to learn new things and expand my knowledge in various subjects.", "q0": "yes", "q0_comment": "I enjoy school because it allows me to learn new things and expand my knowledge in various subjects.", "q1": null, "q2": null}, "iteration": 0, "additional_prompt_data": null, "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}}}]}, "indices": {"agent": 0, "model": 0, "scenario": 0}}, {"agent": {"traits": {"persona": "You are a scientist", "age": 20}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {}, "indices": {"agent": 0, "model": 1, "scenario": 0}}, {"agent": {"traits": {"persona": "You are a chef", "age": 40}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {}, "indices": {"agent": 1, "model": 0, "scenario": 0}}, {"agent": {"traits": {"persona": "You are a chef", "age": 40}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {}, "indices": {"agent": 1, "model": 1, "scenario": 0}}], "include_traceback": false, "edsl_version": "0.1.40", "edsl_class_name": "TaskHistory"}}}, {"class_name": "Results", "dict": {"data": [{"agent": {"traits": {}}, "scenario": {"scenario_index": 0}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"never_eat": ["panda milk custard", "McDonalds"], "extract_name": {"name": "Moby Dick", "profession": "Truck Driver"}, "how_are_you": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", "list_of_foods": ["Pizza", "Sushi", "Chocolate"], "child_happiness": {"No children": 2, "1 child": 3, "2 children": 4, "3 or more children": 5}, "example": {"title": "Simple Hot Chocolate", "ingredients": ["2 cups milk", "2 tablespoons unsweetened cocoa powder", "2 tablespoons sugar", "1/4 teaspoon vanilla extract", "Pinch of salt"], "num_ingredients": 5, "instructions": "In a small saucepan, whisk together cocoa powder, sugar, and salt. Gradually add 2 tablespoons of the milk to form a smooth paste. Stir in the remaining milk. Place the saucepan over medium heat and cook, stirring constantly, until the mixture is hot but not boiling. Remove from heat and stir in vanilla extract. Pour into mugs and serve hot."}, "how_feeling": "Great", "age": 45, "food_budget": [{"Pizza": 30.0}, {"Ice Cream": 20.0}, {"Burgers": 30.0}, {"Salad": 20.0}], "rank_foods": ["Pizza", "Pasta"], "happy_raining": "Neutral", "ice_cream": null, "is_it_equal": "No", "two_fruits": ["apple", "banana"]}, "prompt": {"never_eat_user_prompt": {"text": "Which of the following foods would you eat if you had to?\n\n \n0: soggy meatpie\n \n1: rare snails\n \n2: mouldy bread\n \n3: panda milk custard\n \n4: McDonalds\n \n\n\n\n\nMinimum number of options that must be selected: 2.\nMaximum number of options that must be selected: 5.\n\n\n\nPlease respond only with a comma-separated list of the code of the options that apply, with square brackets. E.g., [0, 1, 3]", "class_name": "Prompt"}, "never_eat_system_prompt": {"text": "", "class_name": "Prompt"}, "extract_name_user_prompt": {"text": "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driverAn ANSWER should be formatted like this: \n\n{'name': 'John Doe', 'profession': 'Carpenter'}\n\nIt should have the same keys but values extracted from the input.\nIf the value of a key is not present in the input, fill with \"null\".\nPut any comments in the next line after the answer.", "class_name": "Prompt"}, "extract_name_system_prompt": {"text": "", "class_name": "Prompt"}, "how_are_you_user_prompt": {"text": "How are you?", "class_name": "Prompt"}, "how_are_you_system_prompt": {"text": "", "class_name": "Prompt"}, "list_of_foods_user_prompt": {"text": "What are your favorite foods?\n\n\nReturn your answers on one line, in a comma-separated list of your responses, with square brackets and each answer in quotes E.g., [\"A\", \"B\", \"C\"]\n\nAfter the answers, you can put a comment explaining your choice on the next line.", "class_name": "Prompt"}, "list_of_foods_system_prompt": {"text": "", "class_name": "Prompt"}, "child_happiness_user_prompt": {"text": "How happy would you be with different numbers of children?\n\nRows:\n \n0: No children\n \n1: 1 child\n \n2: 2 children\n \n3: 3 or more children\n \n\nColumns:\n \n0: 1\n (Very sad)\n \n1: 2\n \n2: 3\n (Neutral)\n \n3: 4\n \n4: 5\n (Extremely happy)\n \n\n\nSelect one column option for each row.\n Please respond with a dictionary mapping row codes to column codes. E.g., {\"0\": 1, \"1\": 3}\n\n\nAfter the answer, you can put a comment explaining your choices on the next line.\n ", "class_name": "Prompt"}, "child_happiness_system_prompt": {"text": "", "class_name": "Prompt"}, "example_user_prompt": {"text": "Please provide a simple recipe for hot chocolate.Please respond with a dictionary using the following keys: title, ingredients, num_ingredients, instructions.\n\n\nHere are descriptions of the values to provide:\n\n- \"title\": \"The title of the recipe.\"\n\n- \"ingredients\": \"A list of ingredients.\"\n\n- \"num_ingredients\": \"The number of ingredients.\"\n\n- \"instructions\": \"The instructions for making the recipe.\"\n\n\n\n\nThe values should be formatted in the following types:\n\n- \"title\": \"str\"\n\n- \"ingredients\": \"list[str]\"\n\n- \"num_ingredients\": \"int\"\n\n- \"instructions\": \"str\"\n\n\n\nIf you do not have a value for a given key, use \"null\".\n\n\nAfter the answer, you can put a comment explaining your response on the next line.", "class_name": "Prompt"}, "example_system_prompt": {"text": "", "class_name": "Prompt"}, "how_feeling_user_prompt": {"text": "\nHow are you?\n\n \nGood\n \nGreat\n \nOK\n \nBad\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "", "class_name": "Prompt"}, "age_user_prompt": {"text": "You are a 45 year old man. How old are you in years?\n\n Minimum answer value: 0\n\n\n Maximum answer value: 86.7\nThis question requires a numerical response in the form of an integer or decimal (e.g., -12, 0, 1, 2, 3.45, ...).\nRespond with just your number on a single line.\nIf your response is equivalent to zero, report '0'", "class_name": "Prompt"}, "age_system_prompt": {"text": "", "class_name": "Prompt"}, "food_budget_user_prompt": {"text": "How would you allocate $100?\nThe options are \n\n0: Pizza\n\n1: Ice Cream\n\n2: Burgers\n\n3: Salad\n \nAllocate your budget of 100 among the options. \n\nReturn only a comma-separated list the values in the same order as the options, with 0s included, on one line, in square braces.\n\nExample: if there are 4 options, the response should be \"[25,25,25,25]\" to allocate 25 to each option.\n\n\nAfter the answer, you can put a comment explaining your choice on the next line.", "class_name": "Prompt"}, "food_budget_system_prompt": {"text": "", "class_name": "Prompt"}, "rank_foods_user_prompt": {"text": "Rank your favorite foods.\n\nThe options are:\n\nPizza\n\nPasta\n\nSalad\n\nSoup\n\n\n\nYou can inlcude up to 2 options in your answer.\n\n\n\nPlease respond only with a comma-separated list of the ranked options, with square brackets. E.g., ['Good', 'Bad', 'Ugly']\n\n\nAfter the answer, you can put a comment explaining your choice on the next line.", "class_name": "Prompt"}, "rank_foods_system_prompt": {"text": "", "class_name": "Prompt"}, "happy_raining_user_prompt": {"text": "\nI'm only happy when it rains.\n\n \nStrongly disagree\n \nDisagree\n \nNeutral\n \nAgree\n \nStrongly agree\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "happy_raining_system_prompt": {"text": "", "class_name": "Prompt"}, "ice_cream_user_prompt": {"text": "How much do you like ice cream?\n\n1 : I hate it\n\n2 : \n\n3 : \n\n4 : \n\n5 : I love it\n\nOnly 1 option may be selected.\n\nRespond only with the code corresponding to one of the options. E.g., \"1\" or \"5\" by itself.\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "ice_cream_system_prompt": {"text": "", "class_name": "Prompt"}, "is_it_equal_user_prompt": {"text": "\nIs 5 + 5 equal to 11?\n\n \nNo\n \nYes\n \n\nOnly 1 option may be selected.\nPlease respond with just your answer. \n\n\nAfter the answer, you can put a comment explaining your response.", "class_name": "Prompt"}, "is_it_equal_system_prompt": {"text": "", "class_name": "Prompt"}, "two_fruits_user_prompt": {"text": "Which of the following fruits do you prefer?\n\n \n0: apple\n \n1: banana\n \n2: carrot\n \n3: durian\n \n\n\n\n\nYou must select exactly 2 options.\n\n\nPlease respond with valid JSON, formatted like so:\n\n {\"answer\": [], \"comment\": \"\"}", "class_name": "Prompt"}, "two_fruits_system_prompt": {"text": "", "class_name": "Prompt"}}, "raw_model_response": {"never_eat_raw_model_response": {"id": "chatcmpl-Aq38JAFxBYcXArbSsYVjeIkcYHHky", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[3, 4]", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968463, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 7, "prompt_tokens": 110, "total_tokens": 117, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "never_eat_cost": 0.00034500000000000004, "never_eat_one_usd_buys": 2898.550724637681, "extract_name_raw_model_response": {"id": "chatcmpl-Aq387Olv37eof4HPBBqDCKBWs2AiQ", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provides your name and current profession as a truck driver. The PhD in astrology is noted, but it seems your current profession is the focus here.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968451, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 48, "prompt_tokens": 95, "total_tokens": 143, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "extract_name_cost": 0.0007175, "extract_name_one_usd_buys": 1393.7282229965156, "how_are_you_raw_model_response": {"id": "chatcmpl-Aq38tg7UicrzoB2VHDPqEm1n1ttGq", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968499, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 32, "prompt_tokens": 11, "total_tokens": 43, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "how_are_you_cost": 0.00034750000000000004, "how_are_you_one_usd_buys": 2877.697841726618, "list_of_foods_raw_model_response": {"id": "chatcmpl-Aq39ByosAWC2dmnZIFvBzTeJzJ6Sp", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and widely enjoyed for their flavors and versatility.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968517, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 25, "prompt_tokens": 66, "total_tokens": 91, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "list_of_foods_cost": 0.000415, "list_of_foods_one_usd_buys": 2409.6385542168673, "child_happiness_raw_model_response": {"id": "chatcmpl-Aq38b0b1pjwmqteHG78szzv2UZL55", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 5}\n\nThese choices reflect a neutral stance on having no children, increasing happiness with the addition of each child, and reaching the peak of happiness with three or more children. This reflects a personal preference for a larger family, with the understanding that individual preferences and circumstances can vary widely.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968481, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 79, "prompt_tokens": 142, "total_tokens": 221, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "child_happiness_cost": 0.001145, "child_happiness_one_usd_buys": 873.3624454148472, "example_raw_model_response": {"id": "chatcmpl-Aq38PNeFeEdUSO6Gf33aXYEtwy8Gw", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "```json\n{\n \"title\": \"Simple Hot Chocolate\",\n \"ingredients\": [\n \"2 cups milk\",\n \"2 tablespoons unsweetened cocoa powder\",\n \"2 tablespoons sugar\",\n \"1/4 teaspoon vanilla extract\",\n \"Pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, whisk together cocoa powder, sugar, and salt. Gradually add 2 tablespoons of the milk to form a smooth paste. Stir in the remaining milk. Place the saucepan over medium heat and cook, stirring constantly, until the mixture is hot but not boiling. Remove from heat and stir in vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and value types.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968469, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 170, "prompt_tokens": 166, "total_tokens": 336, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "example_cost": 0.0021149999999999997, "example_one_usd_buys": 472.81323877068564, "how_feeling_raw_model_response": {"id": "chatcmpl-Aq38DEyEsWosvRBGVt9tMRyhu0mTX", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Great", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968457, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 2, "prompt_tokens": 41, "total_tokens": 43, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "how_feeling_cost": 0.0001225, "how_feeling_one_usd_buys": 8163.265306122449, "age_raw_model_response": {"id": "chatcmpl-Aq395E54fKlaigBck0xmVUIY5uYxY", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "45", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968511, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 2, "prompt_tokens": 100, "total_tokens": 102, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "age_cost": 0.00027, "age_one_usd_buys": 3703.7037037037035, "food_budget_raw_model_response": {"id": "chatcmpl-Aq38zL0VnmgWKXr98Ua72t2SPms2d", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[30,20,30,20] \nI allocated more to pizza and burgers as they are typically more filling and popular choices. 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Carrot is a vegetable, and durian has a unique taste and smell that not everyone appreciates.\"}\n```", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968475, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 57, "prompt_tokens": 75, "total_tokens": 132, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "two_fruits_cost": 0.0007574999999999999, "two_fruits_one_usd_buys": 1320.1320132013202}, "question_to_attributes": null, "generated_tokens": {"never_eat_generated_tokens": "[3, 4]", "extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provides your name and current profession as a truck driver. The PhD in astrology is noted, but it seems your current profession is the focus here.", "how_are_you_generated_tokens": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and widely enjoyed for their flavors and versatility.", "child_happiness_generated_tokens": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 5}\n\nThese choices reflect a neutral stance on having no children, increasing happiness with the addition of each child, and reaching the peak of happiness with three or more children. This reflects a personal preference for a larger family, with the understanding that individual preferences and circumstances can vary widely.", "example_generated_tokens": "```json\n{\n \"title\": \"Simple Hot Chocolate\",\n \"ingredients\": [\n \"2 cups milk\",\n \"2 tablespoons unsweetened cocoa powder\",\n \"2 tablespoons sugar\",\n \"1/4 teaspoon vanilla extract\",\n \"Pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, whisk together cocoa powder, sugar, and salt. Gradually add 2 tablespoons of the milk to form a smooth paste. Stir in the remaining milk. Place the saucepan over medium heat and cook, stirring constantly, until the mixture is hot but not boiling. Remove from heat and stir in vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and value types.", "how_feeling_generated_tokens": "Great", "age_generated_tokens": "45", "food_budget_generated_tokens": "[30,20,30,20] \nI allocated more to pizza and burgers as they are typically more filling and popular choices. Ice cream and salad received less but still a reasonable share to balance out the meal with dessert and a healthier option.", "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza and pasta are versatile, comforting, and can be customized with a variety of flavors and ingredients, making them top choices.", "happy_raining_generated_tokens": "Neutral\n\nThis phrase could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. It might refer to enjoying the atmosphere of rain or having a preference for rainy weather, which can be subjective.", "ice_cream_generated_tokens": null, "is_it_equal_generated_tokens": "No\n\nThe sum of 5 + 5 is equal to 10, not 11.", "two_fruits_generated_tokens": "```json\n{\"answer\": [0, 1], \"comment\": \"I prefer apple and banana because they are both sweet, versatile, and widely enjoyed fruits. Carrot is a vegetable, and durian has a unique taste and smell that not everyone appreciates.\"}\n```"}, "comments_dict": {"never_eat_comment": null, "extract_name_comment": "The input provides your name and current profession as a truck driver. The PhD in astrology is noted, but it seems your current profession is the focus here.", "how_are_you_comment": "", "list_of_foods_comment": "These foods are popular and widely enjoyed for their flavors and versatility.", "child_happiness_comment": "These choices reflect a neutral stance on having no children, increasing happiness with the addition of each child, and reaching the peak of happiness with three or more children. This reflects a personal preference for a larger family, with the understanding that individual preferences and circumstances can vary widely.", "example_comment": "# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and value types.", "how_feeling_comment": null, "age_comment": null, "food_budget_comment": "I allocated more to pizza and burgers as they are typically more filling and popular choices. Ice cream and salad received less but still a reasonable share to balance out the meal with dessert and a healthier option.", "rank_foods_comment": "Pizza and pasta are versatile, comforting, and can be customized with a variety of flavors and ingredients, making them top choices.", "happy_raining_comment": "This phrase could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. It might refer to enjoying the atmosphere of rain or having a preference for rainy weather, which can be subjective.", "ice_cream_comment": "Question answer validation failed.", "is_it_equal_comment": "The sum of 5 + 5 is equal to 10, not 11.", "two_fruits_comment": "```"}, "cache_used_dict": {"never_eat": false, "extract_name": false, "how_are_you": false, "list_of_foods": false, "child_happiness": false, "example": false, "how_feeling": false, "age": false, "food_budget": false, "rank_foods": false, "happy_raining": false, "ice_cream": null, "is_it_equal": false, "two_fruits": false}, "cache_keys": {"never_eat": "93a851be2c653a255bce6effcf3c7739", "extract_name": "496fca6965a36242e124563ed9e86773", "how_are_you": "862eedd246cb9284057febb62b8f5527", "list_of_foods": "9883a51fb93c3d8491cf43d56b4546d1", "child_happiness": "173254b98da9d9354e442c30325c4e2d", "example": "dcbc4b989aca3394e31e4e039f6fea5b", "how_feeling": "c37672cb564e4297406aad17e6f93ffa", "age": "c508813b048e05b8e64ed07ca328eca2", "food_budget": "f3c52208e4c347b20aaf77d67ef0c833", "rank_foods": "04faa467d0879ab261bb37922865fc4a", "happy_raining": "c8db154fe42cf0f3944ff79b990e4acc", "ice_cream": null, "is_it_equal": "511639c9afa48a44f674985dec1eb577", "two_fruits": "7beeb1ea715969965808b667dda79f7d"}}], "survey": {"questions": [{"question_name": "never_eat", "question_text": "Which of the following foods would you eat if you had to?", "min_selections": 2, "max_selections": 5, "question_options": ["soggy meatpie", "rare snails", "mouldy bread", "panda milk custard", "McDonalds"], "include_comment": false, "use_code": true, "question_type": "checkbox"}, {"question_name": "extract_name", "question_text": "My name is Moby Dick. 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How old are you in years?", "How would you allocate $100?", "Rank your favorite foods.", "I'm only happy when it rains.", "How much do you like ice cream?", "Is 5 + 5 equal to 11?", "Which of the following fruits do you prefer?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"never_eat": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2}, "before_rule": false}, {"current_q": 3, "expression": "True", "next_q": 4, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3}, "before_rule": false}, {"current_q": 4, "expression": "True", "next_q": 5, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4}, "before_rule": false}, {"current_q": 5, "expression": "True", "next_q": 6, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5}, "before_rule": false}, {"current_q": 6, "expression": "True", "next_q": 7, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6}, "before_rule": false}, {"current_q": 7, "expression": "True", "next_q": 8, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7}, "before_rule": false}, {"current_q": 8, "expression": "True", "next_q": 9, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8}, "before_rule": false}, {"current_q": 9, "expression": "True", "next_q": 10, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9}, "before_rule": false}, {"current_q": 10, "expression": "True", "next_q": 11, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10}, "before_rule": false}, {"current_q": 11, "expression": "True", "next_q": 12, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11}, "before_rule": false}, {"current_q": 12, "expression": "True", "next_q": 13, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11, "is_it_equal": 12}, "before_rule": false}, {"current_q": 13, "expression": "True", "next_q": 14, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11, "is_it_equal": 12, "two_fruits": 13}, "before_rule": false}], "num_questions": 14}, "question_groups": {}}, "created_columns": [], "cache": {}, "task_history": {"interviews": [{"agent": {"traits": {}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "survey": {"questions": [{"question_name": "never_eat", "question_text": "Which of the following foods would you eat if you had to?", "min_selections": 2, "max_selections": 5, "question_options": ["soggy meatpie", "rare snails", "mouldy bread", "panda milk custard", "McDonalds"], "include_comment": false, "use_code": true, "question_type": "checkbox", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "extract_name", "question_text": "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", "answer_template": {"name": "John Doe", "profession": "Carpenter"}, "question_type": "extract", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "list_of_foods", "question_text": "What are your favorite foods?", "question_type": "list", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "child_happiness", "question_text": "How happy would you be with different numbers of children?", "question_items": ["No children", "1 child", "2 children", "3 or more children"], "question_options": [1, 2, 3, 4, 5], "option_labels": {"1": "Very sad", "3": "Neutral", "5": "Extremely happy"}, "question_type": "matrix", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_type": "dict", "question_name": "example", "question_text": "Please provide a simple recipe for hot chocolate.", "answer_keys": ["title", "ingredients", "num_ingredients", "instructions"], "value_types": ["str", "list[str]", "int", "str"], "value_descriptions": ["The title of the recipe.", "A list of ingredients.", "The number of ingredients.", "The instructions for making the recipe."], "include_comment": true, "permissive": false}, {"question_name": "how_feeling", "question_text": "How are you?", "question_options": ["Good", "Great", "OK", "Bad"], "include_comment": false, "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "age", "question_text": "You are a 45 year old man. How old are you in years?", "min_value": 0, "max_value": 86.7, "include_comment": false, "question_type": "numerical", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "food_budget", "question_text": "How would you allocate $100?", "question_options": ["Pizza", "Ice Cream", "Burgers", "Salad"], "budget_sum": 100, "question_type": "budget", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "rank_foods", "question_text": "Rank your favorite foods.", "question_options": ["Pizza", "Pasta", "Salad", "Soup"], "num_selections": 2, "question_type": "rank", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "happy_raining", "question_text": "I'm only happy when it rains.", "question_options": ["Strongly disagree", "Disagree", "Neutral", "Agree", "Strongly agree"], "question_type": "likert_five", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "ice_cream", "question_text": "How much do you like ice cream?", "question_options": [1, 2, 3, 4, 5], "option_labels": {"1": "I hate it", "5": "I love it"}, "question_type": "linear_scale", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "is_it_equal", "question_text": "Is 5 + 5 equal to 11?", "question_options": ["No", "Yes"], "question_type": "yes_no", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "two_fruits", "question_text": "Which of the following fruits do you prefer?", "min_selections": 2, "max_selections": 2, "question_options": ["apple", "banana", "carrot", "durian"], "use_code": true, "question_type": "top_k", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["never_eat", "extract_name", "how_are_you", "list_of_foods", "child_happiness", "example", "how_feeling", "age", "food_budget", "rank_foods", "happy_raining", "ice_cream", "is_it_equal", "two_fruits"], "survey_question_texts": ["Which of the following foods would you eat if you had to?", "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", "How are you?", "What are your favorite foods?", "How happy would you be with different numbers of children?", "Please provide a simple recipe for hot chocolate.", "How are you?", "You are a 45 year old man. How old are you in years?", "How would you allocate $100?", "Rank your favorite foods.", "I'm only happy when it rains.", "How much do you like ice cream?", "Is 5 + 5 equal to 11?", "Which of the following fruits do you prefer?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"never_eat": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2}, "before_rule": false}, {"current_q": 3, "expression": "True", "next_q": 4, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3}, "before_rule": false}, {"current_q": 4, "expression": "True", "next_q": 5, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4}, "before_rule": false}, {"current_q": 5, "expression": "True", "next_q": 6, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5}, "before_rule": false}, {"current_q": 6, "expression": "True", "next_q": 7, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6}, "before_rule": false}, {"current_q": 7, "expression": "True", "next_q": 8, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7}, "before_rule": false}, {"current_q": 8, "expression": "True", "next_q": 9, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8}, "before_rule": false}, {"current_q": 9, "expression": "True", "next_q": 10, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9}, "before_rule": false}, {"current_q": 10, "expression": "True", "next_q": 11, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10}, "before_rule": false}, {"current_q": 11, "expression": "True", "next_q": 12, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11}, "before_rule": false}, {"current_q": 12, "expression": "True", "next_q": 13, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11, "is_it_equal": 12}, "before_rule": false}, {"current_q": 13, "expression": "True", "next_q": 14, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11, "is_it_equal": 12, "two_fruits": 13}, "before_rule": false}], "num_questions": 14}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {"ice_cream": [{"exception": {"type": "QuestionAnswerValidationError", "message": "1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...about it if you'd like!\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error", "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...about it if you'd like!\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 164, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...about it if you'd like!\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n"}, "time": "2025-01-15T19:14:55.055426", "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...about it if you'd like!\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 164, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...about it if you'd like!\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n", "invigilator": {"agent": {"traits": {}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "question": {"question_name": "ice_cream", "question_text": "How much do you like ice cream?", "question_options": [1, 2, 3, 4, 5], "option_labels": {"1": "I hate it", "5": "I love it"}, "question_type": "linear_scale", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, "scenario": {"edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "memory_plan": {"survey_question_names": ["never_eat", "extract_name", "how_are_you", "list_of_foods", "child_happiness", "example", "how_feeling", "age", "food_budget", "rank_foods", "happy_raining", "ice_cream", "is_it_equal", "two_fruits"], "survey_question_texts": ["Which of the following foods would you eat if you had to?", "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", "How are you?", "What are your favorite foods?", "How happy would you be with different numbers of children?", "Please provide a simple recipe for hot chocolate.", "How are you?", "You are a 45 year old man. How old are you in years?", "How would you allocate $100?", "Rank your favorite foods.", "I'm only happy when it rains.", "How much do you like ice cream?", "Is 5 + 5 equal to 11?", "Which of the following fruits do you prefer?"], "data": {}}, "current_answers": {"extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provides your name and current profession as a truck driver. The PhD in astrology is noted, but it seems your current profession is the focus here.", "extract_name": {"name": "Moby Dick", "profession": "Truck Driver"}, "extract_name_comment": "The input provides your name and current profession as a truck driver. The PhD in astrology is noted, but it seems your current profession is the focus here.", "how_feeling_generated_tokens": "Great", "how_feeling": "Great", "never_eat_generated_tokens": "[3, 4]", "never_eat": ["panda milk custard", "McDonalds"], "example_generated_tokens": "```json\n{\n \"title\": \"Simple Hot Chocolate\",\n \"ingredients\": [\n \"2 cups milk\",\n \"2 tablespoons unsweetened cocoa powder\",\n \"2 tablespoons sugar\",\n \"1/4 teaspoon vanilla extract\",\n \"Pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, whisk together cocoa powder, sugar, and salt. Gradually add 2 tablespoons of the milk to form a smooth paste. Stir in the remaining milk. Place the saucepan over medium heat and cook, stirring constantly, until the mixture is hot but not boiling. Remove from heat and stir in vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and value types.", "example": {"title": "Simple Hot Chocolate", "ingredients": ["2 cups milk", "2 tablespoons unsweetened cocoa powder", "2 tablespoons sugar", "1/4 teaspoon vanilla extract", "Pinch of salt"], "num_ingredients": 5, "instructions": "In a small saucepan, whisk together cocoa powder, sugar, and salt. Gradually add 2 tablespoons of the milk to form a smooth paste. Stir in the remaining milk. Place the saucepan over medium heat and cook, stirring constantly, until the mixture is hot but not boiling. Remove from heat and stir in vanilla extract. Pour into mugs and serve hot."}, "example_comment": "# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and value types.", "two_fruits_generated_tokens": "```json\n{\"answer\": [0, 1], \"comment\": \"I prefer apple and banana because they are both sweet, versatile, and widely enjoyed fruits. Carrot is a vegetable, and durian has a unique taste and smell that not everyone appreciates.\"}\n```", "two_fruits": ["apple", "banana"], "two_fruits_comment": "```", "child_happiness_generated_tokens": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 5}\n\nThese choices reflect a neutral stance on having no children, increasing happiness with the addition of each child, and reaching the peak of happiness with three or more children. This reflects a personal preference for a larger family, with the understanding that individual preferences and circumstances can vary widely.", "child_happiness": {"No children": 2, "1 child": 3, "2 children": 4, "3 or more children": 5}, "child_happiness_comment": "These choices reflect a neutral stance on having no children, increasing happiness with the addition of each child, and reaching the peak of happiness with three or more children. This reflects a personal preference for a larger family, with the understanding that individual preferences and circumstances can vary widely.", "happy_raining_generated_tokens": "Neutral\n\nThis phrase could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. It might refer to enjoying the atmosphere of rain or having a preference for rainy weather, which can be subjective.", "happy_raining": "Neutral", "happy_raining_comment": "This phrase could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. It might refer to enjoying the atmosphere of rain or having a preference for rainy weather, which can be subjective.", "how_are_you_generated_tokens": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", "how_are_you": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", "food_budget_generated_tokens": "[30,20,30,20] \nI allocated more to pizza and burgers as they are typically more filling and popular choices. Ice cream and salad received less but still a reasonable share to balance out the meal with dessert and a healthier option.", "food_budget": [{"Pizza": 30.0}, {"Ice Cream": 20.0}, {"Burgers": 30.0}, {"Salad": 20.0}], "food_budget_comment": "I allocated more to pizza and burgers as they are typically more filling and popular choices. Ice cream and salad received less but still a reasonable share to balance out the meal with dessert and a healthier option.", "age_generated_tokens": "45", "age": 45, "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and widely enjoyed for their flavors and versatility.", "list_of_foods": ["Pizza", "Sushi", "Chocolate"], "list_of_foods_comment": "These foods are popular and widely enjoyed for their flavors and versatility.", "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza and pasta are versatile, comforting, and can be customized with a variety of flavors and ingredients, making them top choices.", "rank_foods": ["Pizza", "Pasta"], "rank_foods_comment": "Pizza and pasta are versatile, comforting, and can be customized with a variety of flavors and ingredients, making them top choices.", "is_it_equal_generated_tokens": "No\n\nThe sum of 5 + 5 is equal to 10, not 11.", "is_it_equal": "No", "is_it_equal_comment": "The sum of 5 + 5 is equal to 10, not 11.", "ice_cream": null}, "iteration": 0, "additional_prompt_data": null, "survey": {"questions": [{"question_name": "never_eat", "question_text": "Which of the following foods would you eat if you had to?", "min_selections": 2, "max_selections": 5, "question_options": ["soggy meatpie", "rare snails", "mouldy bread", "panda milk custard", "McDonalds"], "include_comment": false, "use_code": true, "question_type": "checkbox", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "extract_name", "question_text": "My name is Moby Dick. 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My economic plan has helped extend Medicare solvency by a decade. And I am committed to extending Social Security solvency by making the rich pay their fair share.", "q_extract_content": "\n \"The Simpsons\" is an iconic American animated sitcom created by Matt Groening that debuted in 1989 on the Fox network. \n The show is set in the fictional town of Springfield and centers on the Simpsons family, consisting of the bumbling but well-intentioned father Homer, the caring and patient mother Marge, and their three children: mischievous Bart, intelligent Lisa, and baby Maggie. \n Renowned for its satirical take on the typical American family and society, the series delves into themes of politics, religion, and pop culture with a distinct blend of humor and wit. \n Its longevity, marked by over thirty seasons, makes it one of the longest-running television series in history, influencing many other sitcoms and becoming deeply ingrained in popular culture.\n ", "scenario_index": 2}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"q_extract": {"main_characters_list": ["Homer", "Marge", "Bart", "Lisa", "Maggie"], "location": "Springfield", "genre": "animated sitcom"}, "concepts": ["Medicare solvency", "Social Security strength", "economic plan", "fair share taxation"], "sentiment": "Positive"}, "prompt": {"q_extract_user_prompt": {"text": "Review the following text: \n \"The Simpsons\" is an iconic American animated sitcom created by Matt Groening that debuted in 1989 on the Fox network. \n The show is set in the fictional town of Springfield and centers on the Simpsons family, consisting of the bumbling but well-intentioned father Homer, the caring and patient mother Marge, and their three children: mischievous Bart, intelligent Lisa, and baby Maggie. \n Renowned for its satirical take on the typical American family and society, the series delves into themes of politics, religion, and pop culture with a distinct blend of humor and wit. \n Its longevity, marked by over thirty seasons, makes it one of the longest-running television series in history, influencing many other sitcoms and becoming deeply ingrained in popular culture.\n An ANSWER should be formatted like this: \n\n{'main_characters_list': ['name', 'name'], 'location': 'location', 'genre': 'genre'}\n\nIt should have the same keys but values extracted from the input.\nIf the value of a key is not present in the input, fill with \"null\".\nPut any comments in the next line after the answer.", "class_name": "Prompt"}, "q_extract_system_prompt": {"text": "", "class_name": "Prompt"}, "concepts_user_prompt": {"text": "Identify the key concepts in the following text: Medicare is stronger and Social Security remains strong. My economic plan has helped extend Medicare solvency by a decade. And I am committed to extending Social Security solvency by making the rich pay their fair share.\n\n\nThe list must not contain more than 4 items.\n\nReturn your answers on one line, in a comma-separated list of your responses, with square brackets and each answer in quotes E.g., [\"A\", \"B\", \"C\"]\n\nAfter the answers, you can put a comment explaining your choice on the next line.", "class_name": "Prompt"}, "concepts_system_prompt": {"text": "", "class_name": "Prompt"}, "sentiment_user_prompt": {"text": "\nIdentify the sentiment of this text: Medicare is stronger and Social Security remains strong. My economic plan has helped extend Medicare solvency by a decade. And I am committed to extending Social Security solvency by making the rich pay their fair share.\n\n \nPositive\n \nNeutral\n \nNegative\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "sentiment_system_prompt": {"text": "", "class_name": "Prompt"}}, "raw_model_response": {"q_extract_raw_model_response": {"id": "chatcmpl-Aq39rTkk2uOL9faH72v9TSmxV87t3", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{'main_characters_list': ['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], 'location': 'Springfield', 'genre': 'animated sitcom'}\n\nThe text provides the names of the main characters, the location where the show is set, and the genre of the series.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968559, 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solvency\", \"Social Security strength\", \"economic plan\", \"fair share taxation\"] \nThese key concepts capture the focus on strengthening Medicare and Social Security, the role of the economic plan in extending Medicare's solvency, and the approach to Social Security solvency through fair share taxation.", "sentiment_generated_tokens": "Positive\n\nThe text has a positive sentiment as it highlights the strengthening of Medicare and Social Security, the extension of Medicare's solvency, and a commitment to further extending Social Security's solvency."}, "comments_dict": {"q_extract_comment": "The text provides the names of the main characters, the location where the show is set, and the genre of the series.", "concepts_comment": "These key concepts capture the focus on strengthening Medicare and Social Security, the role of the economic plan in extending Medicare's solvency, and the approach to Social Security solvency through fair share taxation.", "sentiment_comment": "The text has a positive sentiment as it highlights the strengthening of Medicare and Social Security, the extension of Medicare's solvency, and a commitment to further extending Social Security's solvency."}, "cache_used_dict": {"q_extract": false, "concepts": false, "sentiment": false}, "cache_keys": {"q_extract": "7f57118e910e12c88d6f474f9a072483", "concepts": "245d7db3a14900d8a472d1109c9ded78", "sentiment": "75660c9fd84ef143b28d3ee8708a44cc"}}], "survey": {"questions": [{"question_name": "q_extract", "question_text": "Review the following text: {{ q_extract_content }}", "answer_template": {"main_characters_list": ["name", "name"], "location": "location", "genre": "genre"}, "question_type": "extract"}, {"question_name": "concepts", "question_text": "Identify the key concepts in the following text: {{ text }}", "max_list_items": 4, "question_type": "list"}, {"question_name": "sentiment", "question_text": "Identify the sentiment of this text: {{ text }}", "question_options": ["Positive", 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{"scenario_index": 0}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"color": "Blue", "day": null, "winter": null, "birds": null}, "prompt": {"color_user_prompt": {"text": "\nWhat is your favorite color?\n\n \nRed\n \nOrange\n \nYellow\n \nGreen\n \nBlue\n \nPurple\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "color_system_prompt": {"text": "", "class_name": "Prompt"}, "day_user_prompt": {"text": "\nWhat is your favorite day of the week?\n\n \nSun\n \nMon\n \nTue\n \nWed\n \nThu\n \nFri\n \nSat\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.\n Before the question you are now answering, you already answered the following question(s):\n \tQuestion: What is your favorite color?\n\tAnswer: None", "class_name": "Prompt"}, "day_system_prompt": {"text": "", "class_name": "Prompt"}, "winter_user_prompt": {"text": "How much do you enjoy winter?\n\n0 : Hate it\n\n1 : \n\n2 : \n\n3 : \n\n4 : \n\n5 : Love it\n\nOnly 1 option may be selected.\n\nRespond only with the code corresponding to one of the options. E.g., \"1\" or \"5\" by itself.\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.\n Before the question you are now answering, you already answered the following question(s):\n \tQuestion: What is your favorite color?\n\tAnswer: None\n\n Prior questions and answers:\tQuestion: What is your favorite day of the week?\n\tAnswer: None", "class_name": "Prompt"}, "winter_system_prompt": {"text": "", "class_name": "Prompt"}, "birds_user_prompt": {"text": "Which birds do you like best?\n\n \n0: Parrot\n \n1: Osprey\n \n2: Falcon\n \n3: Eagle\n \n4: First Robin of Spring\n \n\n\n\n\nYou must select exactly 2 options.\n\n\nPlease respond with valid JSON, formatted like so:\n\n {\"answer\": [], \"comment\": \"\"}\n Before the question you are now answering, you already answered the following question(s):\n \tQuestion: What is your favorite day of the week?\n\tAnswer: None\n\n Prior questions and answers:\tQuestion: How much do you enjoy 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"how_feeling_yesterday_cost": null, "how_feeling_yesterday_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"how_feeling_generated_tokens": "Not Applicable", "how_feeling_yesterday_generated_tokens": "Not Applicable"}, "comments_dict": {"how_feeling_comment": "This is a real survey response from a human.", "how_feeling_yesterday_comment": "This is a real survey response from a human."}, "cache_used_dict": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}, "cache_keys": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}}, {"agent": {"traits": {"status": "Joyful"}}, "scenario": {"period": "afternoon", "scenario_index": 1}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"how_feeling": "Great", "how_feeling_yesterday": "Good"}, "prompt": {"how_feeling_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_system_prompt": {"text": "NA", "class_name": "Prompt"}}, "raw_model_response": {"how_feeling_raw_model_response": "Not Applicable", "how_feeling_cost": null, "how_feeling_one_usd_buys": "NA", "how_feeling_yesterday_raw_model_response": "Not Applicable", "how_feeling_yesterday_cost": null, "how_feeling_yesterday_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"how_feeling_generated_tokens": "Not Applicable", "how_feeling_yesterday_generated_tokens": "Not Applicable"}, "comments_dict": {"how_feeling_comment": "This is a real survey response from a human.", "how_feeling_yesterday_comment": "This is a real survey response from a human."}, "cache_used_dict": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}, "cache_keys": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}}, {"agent": {"traits": {"status": "Sad"}}, "scenario": {"period": "morning", "scenario_index": 0}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"how_feeling": "Terrible", "how_feeling_yesterday": "OK"}, "prompt": {"how_feeling_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_system_prompt": {"text": "NA", "class_name": "Prompt"}}, "raw_model_response": {"how_feeling_raw_model_response": "Not Applicable", "how_feeling_cost": null, "how_feeling_one_usd_buys": "NA", "how_feeling_yesterday_raw_model_response": "Not Applicable", "how_feeling_yesterday_cost": null, "how_feeling_yesterday_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"how_feeling_generated_tokens": "Not Applicable", "how_feeling_yesterday_generated_tokens": "Not Applicable"}, "comments_dict": {"how_feeling_comment": "This is a real survey response from a human.", "how_feeling_yesterday_comment": "This is a real survey response from a human."}, "cache_used_dict": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}, "cache_keys": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}}, {"agent": {"traits": {"status": "Sad"}}, "scenario": {"period": "afternoon", "scenario_index": 1}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"how_feeling": "OK", "how_feeling_yesterday": "Terrible"}, "prompt": {"how_feeling_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_system_prompt": {"text": "NA", "class_name": "Prompt"}}, "raw_model_response": {"how_feeling_raw_model_response": "Not Applicable", "how_feeling_cost": null, "how_feeling_one_usd_buys": "NA", "how_feeling_yesterday_raw_model_response": "Not Applicable", "how_feeling_yesterday_cost": null, "how_feeling_yesterday_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"how_feeling_generated_tokens": "Not Applicable", "how_feeling_yesterday_generated_tokens": "Not Applicable"}, "comments_dict": {"how_feeling_comment": "This is a real survey response from a human.", "how_feeling_yesterday_comment": "This is a real survey response from a human."}, "cache_used_dict": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}, "cache_keys": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}}], "survey": {"questions": [{"question_name": "how_feeling", "question_text": "How are you this {{ period }}?", "question_options": ["Good", "Great", "OK", "Terrible"], "question_type": "multiple_choice"}, {"question_name": "how_feeling_yesterday", "question_text": "How were you feeling yesterday {{ period }}?", "question_options": ["Good", "Great", "OK", "Terrible"], "question_type": "multiple_choice"}], "memory_plan": {"survey_question_names": ["how_feeling", "how_feeling_yesterday"], "survey_question_texts": ["How are you this {{ period }}?", "How were you feeling yesterday {{ period }}?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"how_feeling": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"how_feeling": 0, "how_feeling_yesterday": 1}, "before_rule": false}], "num_questions": 2}, "question_groups": {}}, "created_columns": [], "cache": {}}}, {"class_name": "ScenarioList", "dict": {"scenarios": [{"persona": "A reseacher studying whether LLMs can be used to generate surveys.", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, {"persona": "A reseacher studying whether LLMs can be used to generate surveys.", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}], "edsl_version": "0.1.40", "edsl_class_name": "ScenarioList"}}, {"class_name": "AgentTraits", "dict": {"persona": "A reseacher studying whether LLMs can be used to generate surveys.", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}}, {"class_name": "Agent", "dict": {"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}}, {"class_name": "AgentList", "dict": {"agent_list": [{"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, {"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}], "edsl_version": "0.1.40", "edsl_class_name": "AgentList"}}, {"class_name": "Survey", "dict": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}}, {"class_name": "ModelList", "dict": {"models": [{"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}], "edsl_version": "0.1.40", "edsl_class_name": "ModelList"}}, {"class_name": "Cache", "dict": {"5513286eb6967abc0511211f0402587d": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5}, "system_prompt": "The quick brown fox jumps over the lazy dog.", "user_prompt": "What does the fox say?", "output": "The fox says 'hello'", "iteration": 1, "timestamp": 1736968392}, "edsl_version": "0.1.40", "edsl_class_name": "Cache"}}, {"class_name": "RunParameters", "dict": {"n": 1, "progress_bar": false, "stop_on_exception": false, "check_api_keys": false, "verbose": true, "print_exceptions": true, "remote_cache_description": null, "remote_inference_description": null, "remote_inference_results_visibility": "unlisted", "skip_retry": false, "raise_validation_errors": false, "disable_remote_cache": false, "disable_remote_inference": false, "job_uuid": null}}, {"class_name": "Result", "dict": {"agent": {"traits": {"status": "Joyful"}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "scenario": {"period": "morning", "scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "iteration": 0, "answer": {"how_feeling": "OK", "how_feeling_yesterday": "Great"}, "prompt": {"how_feeling_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_user_prompt": {"text": "NA", "class_name": "Prompt"}, "how_feeling_yesterday_system_prompt": {"text": "NA", "class_name": "Prompt"}}, "raw_model_response": {"how_feeling_raw_model_response": "Not Applicable", "how_feeling_cost": null, "how_feeling_one_usd_buys": "NA", "how_feeling_yesterday_raw_model_response": "Not Applicable", "how_feeling_yesterday_cost": null, "how_feeling_yesterday_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"how_feeling_generated_tokens": "Not Applicable", "how_feeling_yesterday_generated_tokens": "Not Applicable"}, "comments_dict": {"how_feeling_comment": "This is a real survey response from a human.", "how_feeling_yesterday_comment": "This is a real survey response from a human."}, "cache_keys": {"how_feeling": "Not Applicable", "how_feeling_yesterday": "Not Applicable"}, "edsl_version": "0.1.40", "edsl_class_name": "Result"}}, {"class_name": "Jobs", "dict": {"survey": {"questions": [{"question_name": "how_feeling", "question_text": "How are you this {{ period }}?", "question_options": ["Good", "Great", "OK", "Terrible"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "how_feeling_yesterday", "question_text": "How were you feeling yesterday {{ period }}?", "question_options": ["Good", "Great", "OK", "Terrible"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["how_feeling", "how_feeling_yesterday"], "survey_question_texts": ["How are you this {{ period }}?", "How were you feeling yesterday {{ period }}?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"how_feeling": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"how_feeling": 0, "how_feeling_yesterday": 1}, "before_rule": false}], "num_questions": 2}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}, "agents": [{"traits": {"status": "Joyful"}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, {"traits": {"status": "Sad"}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}], "models": [], "scenarios": [{"period": "morning", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, {"period": "afternoon", "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}], "edsl_version": "0.1.40", "edsl_class_name": "Jobs"}}, {"class_name": "Notebook", "dict": {"name": "notebook", "data": {"metadata": {}, "nbformat": 4, "nbformat_minor": 4, "cells": [{"cell_type": "markdown", "metadata": {}, "source": "# Test notebook"}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": "Hello world!\n"}], "source": "print(\"Hello world!\")"}]}}}, {"class_name": "QuestionCheckBox", "dict": {"question_name": "never_eat", "question_text": "Which of the following foods would you eat if you had to?", "min_selections": 2, "max_selections": 5, "question_options": ["soggy meatpie", "rare snails", "mouldy bread", "panda milk custard", "McDonalds"], "include_comment": false, "use_code": true, "question_type": "checkbox", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionExtract", "dict": {"question_name": "extract_name", "question_text": "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", "answer_template": {"name": "John Doe", "profession": "Carpenter"}, "question_type": "extract", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionFreeText", "dict": {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionFunctional", "dict": {"question_name": "sum_and_multiply", "function_source_code": "def calculate_sum_and_multiply(scenario, agent_traits):\n numbers = scenario.get(\"numbers\", [])\n multiplier = agent_traits.get(\"multiplier\", 1) if agent_traits else 1\n sum = 0\n for num in numbers:\n sum = sum + num\n return sum * multiplier\n", "question_type": "functional", "requires_loop": true, "function_name": "calculate_sum_and_multiply", "edsl_version": "0.1.40", "edsl_class_name": "QuestionFunctional"}}, {"class_name": "QuestionList", "dict": {"question_name": "list_of_foods", "question_text": "What are your favorite foods?", "question_type": "list", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionMatrix", "dict": {"question_name": "child_happiness", "question_text": "How happy would you be with different numbers of children?", "question_items": ["No children", "1 child", "2 children", "3 or more children"], "question_options": [1, 2, 3, 4, 5], "option_labels": {"1": "Very sad", "3": "Neutral", "5": "Extremely happy"}, "question_type": "matrix", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionDict", "dict": {"question_type": "dict", "question_name": "example", "question_text": "Please provide a simple recipe for hot chocolate.", "answer_keys": ["title", "ingredients", "num_ingredients", "instructions"], "value_types": ["str", "list[str]", "int", "str"], "value_descriptions": ["The title of the recipe.", "A list of ingredients.", "The number of ingredients.", "The instructions for making the recipe."], "include_comment": true, "permissive": false}}, {"class_name": "QuestionMultipleChoice", "dict": {"question_name": "how_feeling", "question_text": "How are you?", "question_options": ["Good", "Great", "OK", "Bad"], "include_comment": false, "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionNumerical", "dict": {"question_name": "age", "question_text": "You are a 45 year old man. How old are you in years?", "min_value": 0, "max_value": 86.7, "include_comment": false, "question_type": "numerical", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionBudget", "dict": {"question_name": "food_budget", "question_text": "How would you allocate $100?", "question_options": ["Pizza", "Ice Cream", "Burgers", "Salad"], "budget_sum": 100, "question_type": "budget", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionRank", "dict": {"question_name": "rank_foods", "question_text": "Rank your favorite foods.", "question_options": ["Pizza", "Pasta", "Salad", "Soup"], "num_selections": 2, "question_type": "rank", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionLikertFive", "dict": {"question_name": "happy_raining", "question_text": "I'm only happy when it rains.", "question_options": ["Strongly disagree", "Disagree", "Neutral", "Agree", "Strongly agree"], "question_type": "likert_five", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionLinearScale", "dict": {"question_name": "ice_cream", "question_text": "How much do you like ice cream?", "question_options": [1, 2, 3, 4, 5], "option_labels": {"1": "I hate it", "5": "I love it"}, "question_type": "linear_scale", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionYesNo", "dict": {"question_name": "is_it_equal", "question_text": "Is 5 + 5 equal to 11?", "question_options": ["No", "Yes"], "question_type": "yes_no", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionTopK", "dict": {"question_name": "two_fruits", "question_text": "Which of the following fruits do you prefer?", "min_selections": 2, "max_selections": 2, "question_options": ["apple", "banana", "carrot", "durian"], "use_code": true, "question_type": "top_k", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}}, {"class_name": "LanguageModel", "dict": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}}, {"class_name": "Results", "dict": {"data": [{"agent": {"traits": {"persona": "You are a scientist", "age": 20}}, "scenario": {"scenario_index": 0}, "model": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"q0": "yes", "q1": null, "q2": null}, "prompt": {"q0_user_prompt": {"text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q0_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}, "q1_user_prompt": {"text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q1_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}, "q2_user_prompt": {"text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q2_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}}, "raw_model_response": {"q0_raw_model_response": null, "q0_cost": null, "q0_one_usd_buys": "NA", "q1_raw_model_response": null, "q1_cost": null, "q1_one_usd_buys": "NA", "q2_raw_model_response": null, "q2_cost": null, "q2_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": null, "q1_generated_tokens": null, "q2_generated_tokens": null}, "comments_dict": {"q0_comment": "Task was cancelled.", "q1_comment": "Task was cancelled.", "q2_comment": "Question answer validation failed."}, "cache_used_dict": {"q0": null, "q1": null, "q2": null}, "cache_keys": {"q0": null, "q1": null, "q2": null}}, {"agent": {"traits": {"persona": "You are a scientist", "age": 20}}, "scenario": {"scenario_index": 0}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"q0": "yes", "q1": null, "q2": "other"}, "prompt": {"q0_user_prompt": {"text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q0_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}, "q1_user_prompt": {"text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q1_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}, "q2_user_prompt": {"text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q2_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a scientist', 'age': 20}", "class_name": "Prompt"}}, "raw_model_response": {"q0_raw_model_response": null, "q0_cost": null, "q0_one_usd_buys": "NA", "q1_raw_model_response": null, "q1_cost": null, "q1_one_usd_buys": "NA", "q2_raw_model_response": {"id": "chatcmpl-Aq37SKohvo31u9C3D01xUG7oz2xme", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\n\nThe lack of killer bees in a cafeteria is not typically an issue that requires an explanation, as it is expected for such spaces to be free from dangerous insects.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968410, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 35, "prompt_tokens": 100, "total_tokens": 135, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "q2_cost": 0.0006000000000000001, "q2_one_usd_buys": 1666.6666666666665}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": null, "q1_generated_tokens": null, "q2_generated_tokens": "other\n\nThe lack of killer bees in a cafeteria is not typically an issue that requires an explanation, as it is expected for such spaces to be free from dangerous insects."}, "comments_dict": {"q0_comment": "Task was cancelled.", "q1_comment": "Task was cancelled.", "q2_comment": "The lack of killer bees in a cafeteria is not typically an issue that requires an explanation, as it is expected for such spaces to be free from dangerous insects."}, "cache_used_dict": {"q0": null, "q1": null, "q2": false}, "cache_keys": {"q0": null, "q1": null, "q2": "12e0a72c9660a93ec1dd54f5b0f4afd6"}}, {"agent": {"traits": {"persona": "You are a chef", "age": 40}}, "scenario": {"scenario_index": 0}, "model": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"q0": "no", "q1": "other", "q2": "other"}, "prompt": {"q0_user_prompt": {"text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q0_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}, "q1_user_prompt": {"text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q1_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}, "q2_user_prompt": {"text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q2_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}}, "raw_model_response": {"q0_raw_model_response": {"id": "chatcmpl-Aq37ePKaecWsA8F0JnNEC28xe5v4I", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "no\nI prefer hands-on learning in the kitchen rather than traditional schooling.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968422, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 16, "prompt_tokens": 96, "total_tokens": 112, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "q0_cost": 0.000383999232001536, "q0_one_usd_buys": 2604.171875, "q1_raw_model_response": {"id": "chatcmpl-Aq382Z4GJ6dzh3YbKwqIRWCp0rCQ2", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\n// As a chef, my expertise lies in cooking and food preparation, not handling dangerous situations like killer bees in a cafeteria.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968446, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 28, "prompt_tokens": 97, "total_tokens": 125, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "q1_cost": 0.000458999082001836, "q1_one_usd_buys": 2178.653594771242, "q2_raw_model_response": {"id": "chatcmpl-Aq37q53jTXTbtzmnwt9QyqDDNWV49", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\nI chose \"other\" because I am a chef and not directly involved in the presence or absence of killer bees in the cafeteria.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968434, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 29, "prompt_tokens": 101, "total_tokens": 130, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "q2_cost": 0.000476999046001908, "q2_one_usd_buys": 2096.4402515723273}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": "no\nI prefer hands-on learning in the kitchen rather than traditional schooling.", "q1_generated_tokens": "other\n// As a chef, my expertise lies in cooking and food preparation, not handling dangerous situations like killer bees in a cafeteria.", "q2_generated_tokens": "other\nI chose \"other\" because I am a chef and not directly involved in the presence or absence of killer bees in the cafeteria."}, "comments_dict": {"q0_comment": "I prefer hands-on learning in the kitchen rather than traditional schooling.", "q1_comment": "// As a chef, my expertise lies in cooking and food preparation, not handling dangerous situations like killer bees in a cafeteria.", "q2_comment": "I chose \"other\" because I am a chef and not directly involved in the presence or absence of killer bees in the cafeteria."}, "cache_used_dict": {"q0": false, "q1": false, "q2": false}, "cache_keys": {"q0": "21e756db3aaa193c16cfd8c6d6d8062f", "q1": "972cb8d998b4c5619ba393aa1a903c55", "q2": "9caa189087733075d64bebf97fd6ce63"}}, {"agent": {"traits": {"persona": "You are a chef", "age": 40}}, "scenario": {"scenario_index": 0}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}}, "iteration": 0, "answer": {"q0": "yes", "q1": null, "q2": "other"}, "prompt": {"q0_user_prompt": {"text": "\nDo you like school?\n\n \nyes\n \nno\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q0_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}, "q1_user_prompt": {"text": "\nWhy not?\n\n \nkiller bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q1_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}, "q2_user_prompt": {"text": "\nWhy?\n\n \n**lack*** of killer bees in cafeteria\n \nother\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "q2_system_prompt": {"text": "You are answering questions as if you were a human. Do not break character.Your traits: {'persona': 'You are a chef', 'age': 40}", "class_name": "Prompt"}}, "raw_model_response": {"q0_raw_model_response": null, "q0_cost": null, "q0_one_usd_buys": "NA", "q1_raw_model_response": null, "q1_cost": null, "q1_one_usd_buys": "NA", "q2_raw_model_response": {"id": "chatcmpl-Aq37wS9ntsYX9bx6GKcBDk4mgQxfJ", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\nThe absence of killer bees in a cafeteria is not a typical concern, so \"other\" seems more appropriate.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968440, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 25, "prompt_tokens": 100, "total_tokens": 125, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "q2_cost": 0.0005, "q2_one_usd_buys": 2000.0}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": null, "q1_generated_tokens": null, "q2_generated_tokens": "other\nThe absence of killer bees in a cafeteria is not a typical concern, so \"other\" seems more appropriate."}, "comments_dict": {"q0_comment": "Task was cancelled.", "q1_comment": "Task was cancelled.", "q2_comment": "The absence of killer bees in a cafeteria is not a typical concern, so \"other\" seems more appropriate."}, "cache_used_dict": {"q0": null, "q1": null, "q2": false}, "cache_keys": {"q0": null, "q1": null, "q2": "f7d94c309f5ec87ec4a9503960c6e43c"}}], "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}}, "created_columns": [], "cache": {}, "task_history": {"interviews": [{"agent": {"traits": {"persona": "You are a scientist", "age": 20}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {"q2": [{"exception": {"type": "QuestionAnswerValidationError", "message": "1 validation error for ChoiceResponse\nanswer\n Input should be '**lack*** of killer bees in cafeteria' or 'other' [type=literal_error, input_value='lack of killer bees in cafeteria', input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error", "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be '**lack*** of killer bees in cafeteria' or 'other' [type=literal_error, input_value='lack of killer bees in cafeteria', input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 164, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be '**lack*** of killer bees in cafeteria' or 'other' [type=literal_error, input_value='lack of killer bees in cafeteria', input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n"}, "time": "2025-01-15T19:13:36.524670", "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be '**lack*** of killer bees in cafeteria' or 'other' [type=literal_error, input_value='lack of killer bees in cafeteria', input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 164, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be '**lack*** of killer bees in cafeteria' or 'other' [type=literal_error, input_value='lack of killer bees in cafeteria', input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n", "invigilator": {"agent": {"traits": {"persona": "You are a scientist", "age": 20}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "question": {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-3.5-turbo", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "current_answers": {"q0_generated_tokens": "yes\nI enjoy school because it allows me to learn new things and expand my knowledge in various subjects.", "q0": "yes", "q0_comment": "I enjoy school because it allows me to learn new things and expand my knowledge in various subjects.", "q1": null, "q2": null}, "iteration": 0, "additional_prompt_data": null, "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}}}]}, "indices": {"agent": 0, "model": 0, "scenario": 0}}, {"agent": {"traits": {"persona": "You are a scientist", "age": 20}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q2", "question_text": "Why?", "question_options": ["**lack*** of killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like school?", "Why not?", "Why?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"q0": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}, {"current_q": 0, "expression": "q0 == 'yes'", "next_q": 2, "priority": 0, "question_name_to_index": {"q0": 0, "q1": 1, "q2": 2}, "before_rule": false}], "num_questions": 3}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {}, "indices": {"agent": 0, "model": 1, "scenario": 0}}, {"agent": {"traits": {"persona": "You are a chef", "age": 40}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "survey": {"questions": [{"question_name": "q0", "question_text": "Do you like school?", "question_options": ["yes", "no"], "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": 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0, "answer": {"never_eat": ["panda milk custard", "McDonalds"], "extract_name": {"name": "Moby Dick", "profession": "Truck Driver"}, "how_are_you": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", "list_of_foods": ["Pizza", "Sushi", "Chocolate"], "child_happiness": {"No children": 2, "1 child": 3, "2 children": 4, "3 or more children": 5}, "example": {"title": "Simple Hot Chocolate", "ingredients": ["2 cups milk", "2 tablespoons unsweetened cocoa powder", "2 tablespoons sugar", "1/4 teaspoon vanilla extract", "Pinch of salt"], "num_ingredients": 5, "instructions": "In a small saucepan, whisk together cocoa powder, sugar, and salt. Gradually add 2 tablespoons of the milk to form a smooth paste. Stir in the remaining milk. Place the saucepan over medium heat and cook, stirring constantly, until the mixture is hot but not boiling. Remove from heat and stir in vanilla extract. Pour into mugs and serve hot."}, "how_feeling": "Great", "age": 45, "food_budget": [{"Pizza": 30.0}, {"Ice Cream": 20.0}, {"Burgers": 30.0}, {"Salad": 20.0}], "rank_foods": ["Pizza", "Pasta"], "happy_raining": "Neutral", "ice_cream": null, "is_it_equal": "No", "two_fruits": ["apple", "banana"]}, "prompt": {"never_eat_user_prompt": {"text": "Which of the following foods would you eat if you had to?\n\n \n0: soggy meatpie\n \n1: rare snails\n \n2: mouldy bread\n \n3: panda milk custard\n \n4: McDonalds\n \n\n\n\n\nMinimum number of options that must be selected: 2.\nMaximum number of options that must be selected: 5.\n\n\n\nPlease respond only with a comma-separated list of the code of the options that apply, with square brackets. E.g., [0, 1, 3]", "class_name": "Prompt"}, "never_eat_system_prompt": {"text": "", "class_name": "Prompt"}, "extract_name_user_prompt": {"text": "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driverAn ANSWER should be formatted like this: \n\n{'name': 'John Doe', 'profession': 'Carpenter'}\n\nIt should have the same keys but values extracted from the input.\nIf the value of a key is not present in the input, fill with \"null\".\nPut any comments in the next line after the answer.", "class_name": "Prompt"}, "extract_name_system_prompt": {"text": "", "class_name": "Prompt"}, "how_are_you_user_prompt": {"text": "How are you?", "class_name": "Prompt"}, "how_are_you_system_prompt": {"text": "", "class_name": "Prompt"}, "list_of_foods_user_prompt": {"text": "What are your favorite foods?\n\n\nReturn your answers on one line, in a comma-separated list of your responses, with square brackets and each answer in quotes E.g., [\"A\", \"B\", \"C\"]\n\nAfter the answers, you can put a comment explaining your choice on the next line.", "class_name": "Prompt"}, "list_of_foods_system_prompt": {"text": "", "class_name": "Prompt"}, "child_happiness_user_prompt": {"text": "How happy would you be with different numbers of children?\n\nRows:\n \n0: No children\n \n1: 1 child\n \n2: 2 children\n \n3: 3 or more children\n \n\nColumns:\n \n0: 1\n (Very sad)\n \n1: 2\n \n2: 3\n (Neutral)\n \n3: 4\n \n4: 5\n (Extremely happy)\n \n\n\nSelect one column option for each row.\n Please respond with a dictionary mapping row codes to column codes. E.g., {\"0\": 1, \"1\": 3}\n\n\nAfter the answer, you can put a comment explaining your choices on the next line.\n ", "class_name": "Prompt"}, "child_happiness_system_prompt": {"text": "", "class_name": "Prompt"}, "example_user_prompt": {"text": "Please provide a simple recipe for hot chocolate.Please respond with a dictionary using the following keys: title, ingredients, num_ingredients, instructions.\n\n\nHere are descriptions of the values to provide:\n\n- \"title\": \"The title of the recipe.\"\n\n- \"ingredients\": \"A list of ingredients.\"\n\n- \"num_ingredients\": \"The number of ingredients.\"\n\n- \"instructions\": \"The instructions for making the recipe.\"\n\n\n\n\nThe values should be formatted in the following types:\n\n- \"title\": \"str\"\n\n- \"ingredients\": \"list[str]\"\n\n- \"num_ingredients\": \"int\"\n\n- \"instructions\": \"str\"\n\n\n\nIf you do not have a value for a given key, use \"null\".\n\n\nAfter the answer, you can put a comment explaining your response on the next line.", "class_name": "Prompt"}, "example_system_prompt": {"text": "", "class_name": "Prompt"}, "how_feeling_user_prompt": {"text": "\nHow are you?\n\n \nGood\n \nGreat\n \nOK\n \nBad\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.", "class_name": "Prompt"}, "how_feeling_system_prompt": {"text": "", "class_name": "Prompt"}, "age_user_prompt": {"text": "You are a 45 year old man. How old are you in years?\n\n Minimum answer value: 0\n\n\n Maximum answer value: 86.7\nThis question requires a numerical response in the form of an integer or decimal (e.g., -12, 0, 1, 2, 3.45, ...).\nRespond with just your number on a single line.\nIf your response is equivalent to zero, report '0'", "class_name": "Prompt"}, "age_system_prompt": {"text": "", "class_name": "Prompt"}, "food_budget_user_prompt": {"text": "How would you allocate $100?\nThe options are \n\n0: Pizza\n\n1: Ice Cream\n\n2: Burgers\n\n3: Salad\n \nAllocate your budget of 100 among the options. \n\nReturn only a comma-separated list the values in the same order as the options, with 0s included, on one line, in square braces.\n\nExample: if there are 4 options, the response should be \"[25,25,25,25]\" to allocate 25 to each option.\n\n\nAfter the answer, you can put a comment explaining your choice on the next line.", "class_name": "Prompt"}, "food_budget_system_prompt": {"text": "", "class_name": "Prompt"}, "rank_foods_user_prompt": {"text": "Rank your favorite foods.\n\nThe options are:\n\nPizza\n\nPasta\n\nSalad\n\nSoup\n\n\n\nYou can inlcude up to 2 options in your answer.\n\n\n\nPlease respond only with a comma-separated list of the ranked options, with square brackets. E.g., ['Good', 'Bad', 'Ugly']\n\n\nAfter the answer, you can put a comment explaining your choice on the next line.", "class_name": "Prompt"}, "rank_foods_system_prompt": {"text": "", "class_name": "Prompt"}, "happy_raining_user_prompt": {"text": "\nI'm only happy when it rains.\n\n \nStrongly disagree\n \nDisagree\n \nNeutral\n \nAgree\n \nStrongly agree\n \n\nOnly 1 option may be selected.\n\nRespond only with a string corresponding to one of the options.\n\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "happy_raining_system_prompt": {"text": "", "class_name": "Prompt"}, "ice_cream_user_prompt": {"text": "How much do you like ice cream?\n\n1 : I hate it\n\n2 : \n\n3 : \n\n4 : \n\n5 : I love it\n\nOnly 1 option may be selected.\n\nRespond only with the code corresponding to one of the options. E.g., \"1\" or \"5\" by itself.\n\nAfter the answer, you can put a comment explaining why you chose that option on the next line.", "class_name": "Prompt"}, "ice_cream_system_prompt": {"text": "", "class_name": "Prompt"}, "is_it_equal_user_prompt": {"text": "\nIs 5 + 5 equal to 11?\n\n \nNo\n \nYes\n \n\nOnly 1 option may be selected.\nPlease respond with just your answer. \n\n\nAfter the answer, you can put a comment explaining your response.", "class_name": "Prompt"}, "is_it_equal_system_prompt": {"text": "", "class_name": "Prompt"}, "two_fruits_user_prompt": {"text": "Which of the following fruits do you prefer?\n\n \n0: apple\n \n1: banana\n \n2: carrot\n \n3: durian\n \n\n\n\n\nYou must select exactly 2 options.\n\n\nPlease respond with valid JSON, formatted like so:\n\n {\"answer\": [], \"comment\": \"\"}", "class_name": "Prompt"}, "two_fruits_system_prompt": {"text": "", "class_name": "Prompt"}}, "raw_model_response": {"never_eat_raw_model_response": {"id": "chatcmpl-Aq38JAFxBYcXArbSsYVjeIkcYHHky", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[3, 4]", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968463, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 7, "prompt_tokens": 110, "total_tokens": 117, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "never_eat_cost": 0.00034500000000000004, "never_eat_one_usd_buys": 2898.550724637681, "extract_name_raw_model_response": {"id": "chatcmpl-Aq387Olv37eof4HPBBqDCKBWs2AiQ", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provides your name and current profession as a truck driver. The PhD in astrology is noted, but it seems your current profession is the focus here.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968451, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 48, "prompt_tokens": 95, "total_tokens": 143, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "extract_name_cost": 0.0007175, "extract_name_one_usd_buys": 1393.7282229965156, "how_are_you_raw_model_response": {"id": "chatcmpl-Aq38tg7UicrzoB2VHDPqEm1n1ttGq", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968499, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 32, "prompt_tokens": 11, "total_tokens": 43, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "how_are_you_cost": 0.00034750000000000004, "how_are_you_one_usd_buys": 2877.697841726618, "list_of_foods_raw_model_response": {"id": "chatcmpl-Aq39ByosAWC2dmnZIFvBzTeJzJ6Sp", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and widely enjoyed for their flavors and versatility.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968517, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 25, "prompt_tokens": 66, "total_tokens": 91, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "list_of_foods_cost": 0.000415, "list_of_foods_one_usd_buys": 2409.6385542168673, "child_happiness_raw_model_response": {"id": "chatcmpl-Aq38b0b1pjwmqteHG78szzv2UZL55", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 5}\n\nThese choices reflect a neutral stance on having no children, increasing happiness with the addition of each child, and reaching the peak of happiness with three or more children. This reflects a personal preference for a larger family, with the understanding that individual preferences and circumstances can vary widely.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968481, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 79, "prompt_tokens": 142, "total_tokens": 221, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "child_happiness_cost": 0.001145, "child_happiness_one_usd_buys": 873.3624454148472, "example_raw_model_response": {"id": "chatcmpl-Aq38PNeFeEdUSO6Gf33aXYEtwy8Gw", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "```json\n{\n \"title\": \"Simple Hot Chocolate\",\n \"ingredients\": [\n \"2 cups milk\",\n \"2 tablespoons unsweetened cocoa powder\",\n \"2 tablespoons sugar\",\n \"1/4 teaspoon vanilla extract\",\n \"Pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, whisk together cocoa powder, sugar, and salt. Gradually add 2 tablespoons of the milk to form a smooth paste. Stir in the remaining milk. Place the saucepan over medium heat and cook, stirring constantly, until the mixture is hot but not boiling. Remove from heat and stir in vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and value types.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968469, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 170, "prompt_tokens": 166, "total_tokens": 336, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "example_cost": 0.0021149999999999997, "example_one_usd_buys": 472.81323877068564, "how_feeling_raw_model_response": {"id": "chatcmpl-Aq38DEyEsWosvRBGVt9tMRyhu0mTX", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Great", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968457, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 2, "prompt_tokens": 41, "total_tokens": 43, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "how_feeling_cost": 0.0001225, "how_feeling_one_usd_buys": 8163.265306122449, "age_raw_model_response": {"id": "chatcmpl-Aq395E54fKlaigBck0xmVUIY5uYxY", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "45", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968511, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 2, "prompt_tokens": 100, "total_tokens": 102, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "age_cost": 0.00027, "age_one_usd_buys": 3703.7037037037035, "food_budget_raw_model_response": {"id": "chatcmpl-Aq38zL0VnmgWKXr98Ua72t2SPms2d", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[30,20,30,20] \nI allocated more to pizza and burgers as they are typically more filling and popular choices. 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Carrot is a vegetable, and durian has a unique taste and smell that not everyone appreciates.\"}\n```", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1736968475, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 57, "prompt_tokens": 75, "total_tokens": 132, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}}}, "two_fruits_cost": 0.0007574999999999999, "two_fruits_one_usd_buys": 1320.1320132013202}, "question_to_attributes": null, "generated_tokens": {"never_eat_generated_tokens": "[3, 4]", "extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provides your name and current profession as a truck driver. The PhD in astrology is noted, but it seems your current profession is the focus here.", "how_are_you_generated_tokens": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and widely enjoyed for their flavors and versatility.", "child_happiness_generated_tokens": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 5}\n\nThese choices reflect a neutral stance on having no children, increasing happiness with the addition of each child, and reaching the peak of happiness with three or more children. This reflects a personal preference for a larger family, with the understanding that individual preferences and circumstances can vary widely.", "example_generated_tokens": "```json\n{\n \"title\": \"Simple Hot Chocolate\",\n \"ingredients\": [\n \"2 cups milk\",\n \"2 tablespoons unsweetened cocoa powder\",\n \"2 tablespoons sugar\",\n \"1/4 teaspoon vanilla extract\",\n \"Pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, whisk together cocoa powder, sugar, and salt. Gradually add 2 tablespoons of the milk to form a smooth paste. Stir in the remaining milk. Place the saucepan over medium heat and cook, stirring constantly, until the mixture is hot but not boiling. Remove from heat and stir in vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and value types.", "how_feeling_generated_tokens": "Great", "age_generated_tokens": "45", "food_budget_generated_tokens": "[30,20,30,20] \nI allocated more to pizza and burgers as they are typically more filling and popular choices. Ice cream and salad received less but still a reasonable share to balance out the meal with dessert and a healthier option.", "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza and pasta are versatile, comforting, and can be customized with a variety of flavors and ingredients, making them top choices.", "happy_raining_generated_tokens": "Neutral\n\nThis phrase could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. It might refer to enjoying the atmosphere of rain or having a preference for rainy weather, which can be subjective.", "ice_cream_generated_tokens": null, "is_it_equal_generated_tokens": "No\n\nThe sum of 5 + 5 is equal to 10, not 11.", "two_fruits_generated_tokens": "```json\n{\"answer\": [0, 1], \"comment\": \"I prefer apple and banana because they are both sweet, versatile, and widely enjoyed fruits. Carrot is a vegetable, and durian has a unique taste and smell that not everyone appreciates.\"}\n```"}, "comments_dict": {"never_eat_comment": null, "extract_name_comment": "The input provides your name and current profession as a truck driver. The PhD in astrology is noted, but it seems your current profession is the focus here.", "how_are_you_comment": "", "list_of_foods_comment": "These foods are popular and widely enjoyed for their flavors and versatility.", "child_happiness_comment": "These choices reflect a neutral stance on having no children, increasing happiness with the addition of each child, and reaching the peak of happiness with three or more children. This reflects a personal preference for a larger family, with the understanding that individual preferences and circumstances can vary widely.", "example_comment": "# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and value types.", "how_feeling_comment": null, "age_comment": null, "food_budget_comment": "I allocated more to pizza and burgers as they are typically more filling and popular choices. Ice cream and salad received less but still a reasonable share to balance out the meal with dessert and a healthier option.", "rank_foods_comment": "Pizza and pasta are versatile, comforting, and can be customized with a variety of flavors and ingredients, making them top choices.", "happy_raining_comment": "This phrase could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. It might refer to enjoying the atmosphere of rain or having a preference for rainy weather, which can be subjective.", "ice_cream_comment": "Question answer validation failed.", "is_it_equal_comment": "The sum of 5 + 5 is equal to 10, not 11.", "two_fruits_comment": "```"}, "cache_used_dict": {"never_eat": false, "extract_name": false, "how_are_you": false, "list_of_foods": false, "child_happiness": false, "example": false, "how_feeling": false, "age": false, "food_budget": false, "rank_foods": false, "happy_raining": false, "ice_cream": null, "is_it_equal": false, "two_fruits": false}, "cache_keys": {"never_eat": "93a851be2c653a255bce6effcf3c7739", "extract_name": "496fca6965a36242e124563ed9e86773", "how_are_you": "862eedd246cb9284057febb62b8f5527", "list_of_foods": "9883a51fb93c3d8491cf43d56b4546d1", "child_happiness": "173254b98da9d9354e442c30325c4e2d", "example": "dcbc4b989aca3394e31e4e039f6fea5b", "how_feeling": "c37672cb564e4297406aad17e6f93ffa", "age": "c508813b048e05b8e64ed07ca328eca2", "food_budget": "f3c52208e4c347b20aaf77d67ef0c833", "rank_foods": "04faa467d0879ab261bb37922865fc4a", "happy_raining": "c8db154fe42cf0f3944ff79b990e4acc", "ice_cream": null, "is_it_equal": "511639c9afa48a44f674985dec1eb577", "two_fruits": "7beeb1ea715969965808b667dda79f7d"}}], "survey": {"questions": [{"question_name": "never_eat", "question_text": "Which of the following foods would you eat if you had to?", "min_selections": 2, "max_selections": 5, "question_options": ["soggy meatpie", "rare snails", "mouldy bread", "panda milk custard", "McDonalds"], "include_comment": false, "use_code": true, "question_type": "checkbox"}, {"question_name": "extract_name", "question_text": "My name is Moby Dick. 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How old are you in years?", "How would you allocate $100?", "Rank your favorite foods.", "I'm only happy when it rains.", "How much do you like ice cream?", "Is 5 + 5 equal to 11?", "Which of the following fruits do you prefer?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"never_eat": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2}, "before_rule": false}, {"current_q": 3, "expression": "True", "next_q": 4, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3}, "before_rule": false}, {"current_q": 4, "expression": "True", "next_q": 5, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4}, "before_rule": false}, {"current_q": 5, "expression": "True", "next_q": 6, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5}, "before_rule": false}, {"current_q": 6, "expression": "True", "next_q": 7, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6}, "before_rule": false}, {"current_q": 7, "expression": "True", "next_q": 8, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7}, "before_rule": false}, {"current_q": 8, "expression": "True", "next_q": 9, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8}, "before_rule": false}, {"current_q": 9, "expression": "True", "next_q": 10, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9}, "before_rule": false}, {"current_q": 10, "expression": "True", "next_q": 11, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10}, "before_rule": false}, {"current_q": 11, "expression": "True", "next_q": 12, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11}, "before_rule": false}, {"current_q": 12, "expression": "True", "next_q": 13, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11, "is_it_equal": 12}, "before_rule": false}, {"current_q": 13, "expression": "True", "next_q": 14, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11, "is_it_equal": 12, "two_fruits": 13}, "before_rule": false}], "num_questions": 14}, "question_groups": {}}, "created_columns": [], "cache": {}, "task_history": {"interviews": [{"agent": {"traits": {}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "survey": {"questions": [{"question_name": "never_eat", "question_text": "Which of the following foods would you eat if you had to?", "min_selections": 2, "max_selections": 5, "question_options": ["soggy meatpie", "rare snails", "mouldy bread", "panda milk custard", "McDonalds"], "include_comment": false, "use_code": true, "question_type": "checkbox", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "extract_name", "question_text": "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", "answer_template": {"name": "John Doe", "profession": "Carpenter"}, "question_type": "extract", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "list_of_foods", "question_text": "What are your favorite foods?", "question_type": "list", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "child_happiness", "question_text": "How happy would you be with different numbers of children?", "question_items": ["No children", "1 child", "2 children", "3 or more children"], "question_options": [1, 2, 3, 4, 5], "option_labels": {"1": "Very sad", "3": "Neutral", "5": "Extremely happy"}, "question_type": "matrix", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_type": "dict", "question_name": "example", "question_text": "Please provide a simple recipe for hot chocolate.", "answer_keys": ["title", "ingredients", "num_ingredients", "instructions"], "value_types": ["str", "list[str]", "int", "str"], "value_descriptions": ["The title of the recipe.", "A list of ingredients.", "The number of ingredients.", "The instructions for making the recipe."], "include_comment": true, "permissive": false}, {"question_name": "how_feeling", "question_text": "How are you?", "question_options": ["Good", "Great", "OK", "Bad"], "include_comment": false, "question_type": "multiple_choice", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "age", "question_text": "You are a 45 year old man. How old are you in years?", "min_value": 0, "max_value": 86.7, "include_comment": false, "question_type": "numerical", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "food_budget", "question_text": "How would you allocate $100?", "question_options": ["Pizza", "Ice Cream", "Burgers", "Salad"], "budget_sum": 100, "question_type": "budget", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "rank_foods", "question_text": "Rank your favorite foods.", "question_options": ["Pizza", "Pasta", "Salad", "Soup"], "num_selections": 2, "question_type": "rank", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "happy_raining", "question_text": "I'm only happy when it rains.", "question_options": ["Strongly disagree", "Disagree", "Neutral", "Agree", "Strongly agree"], "question_type": "likert_five", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "ice_cream", "question_text": "How much do you like ice cream?", "question_options": [1, 2, 3, 4, 5], "option_labels": {"1": "I hate it", "5": "I love it"}, "question_type": "linear_scale", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "is_it_equal", "question_text": "Is 5 + 5 equal to 11?", "question_options": ["No", "Yes"], "question_type": "yes_no", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "two_fruits", "question_text": "Which of the following fruits do you prefer?", "min_selections": 2, "max_selections": 2, "question_options": ["apple", "banana", "carrot", "durian"], "use_code": true, "question_type": "top_k", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["never_eat", "extract_name", "how_are_you", "list_of_foods", "child_happiness", "example", "how_feeling", "age", "food_budget", "rank_foods", "happy_raining", "ice_cream", "is_it_equal", "two_fruits"], "survey_question_texts": ["Which of the following foods would you eat if you had to?", "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", "How are you?", "What are your favorite foods?", "How happy would you be with different numbers of children?", "Please provide a simple recipe for hot chocolate.", "How are you?", "You are a 45 year old man. How old are you in years?", "How would you allocate $100?", "Rank your favorite foods.", "I'm only happy when it rains.", "How much do you like ice cream?", "Is 5 + 5 equal to 11?", "Which of the following fruits do you prefer?"], "data": {}}, "rule_collection": {"rules": [{"current_q": 0, "expression": "True", "next_q": 1, "priority": -1, "question_name_to_index": {"never_eat": 0}, "before_rule": false}, {"current_q": 1, "expression": "True", "next_q": 2, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1}, "before_rule": false}, {"current_q": 2, "expression": "True", "next_q": 3, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2}, "before_rule": false}, {"current_q": 3, "expression": "True", "next_q": 4, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3}, "before_rule": false}, {"current_q": 4, "expression": "True", "next_q": 5, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4}, "before_rule": false}, {"current_q": 5, "expression": "True", "next_q": 6, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5}, "before_rule": false}, {"current_q": 6, "expression": "True", "next_q": 7, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6}, "before_rule": false}, {"current_q": 7, "expression": "True", "next_q": 8, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7}, "before_rule": false}, {"current_q": 8, "expression": "True", "next_q": 9, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8}, "before_rule": false}, {"current_q": 9, "expression": "True", "next_q": 10, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9}, "before_rule": false}, {"current_q": 10, "expression": "True", "next_q": 11, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10}, "before_rule": false}, {"current_q": 11, "expression": "True", "next_q": 12, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11}, "before_rule": false}, {"current_q": 12, "expression": "True", "next_q": 13, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11, "is_it_equal": 12}, "before_rule": false}, {"current_q": 13, "expression": "True", "next_q": 14, "priority": -1, "question_name_to_index": {"never_eat": 0, "extract_name": 1, "how_are_you": 2, "list_of_foods": 3, "child_happiness": 4, "example": 5, "how_feeling": 6, "age": 7, "food_budget": 8, "rank_foods": 9, "happy_raining": 10, "ice_cream": 11, "is_it_equal": 12, "two_fruits": 13}, "before_rule": false}], "num_questions": 14}, "question_groups": {}, "edsl_version": "0.1.40", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {"ice_cream": [{"exception": {"type": "QuestionAnswerValidationError", "message": "1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...about it if you'd like!\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error", "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...about it if you'd like!\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 164, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...about it if you'd like!\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n"}, "time": "2025-01-15T19:14:55.055426", "traceback": "Traceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 77, in _base_validate\n return self.response_model(**data)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/project/lib/python3.9/site-packages/pydantic/main.py\", line 214, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...about it if you'd like!\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/jobs/AnswerQuestionFunctionConstructor.py\", line 184, in attempt_answer\n raise response.exception_occurred\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/agents/Invigilator.py\", line 164, in _extract_edsl_result_entry_and_validate\n validated_edsl_dict = question_with_validators._validate_answer(edsl_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/QuestionBase.py\", line 110, in _validate_answer\n return self.response_validator.validate(answer, replacement_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 123, in validate\n return self._handle_exception(e, raw_edsl_answer_dict)\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 143, in _handle_exception\n raise self.original_exception\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 117, in validate\n pydantic_edsl_answer: BaseModel = self._base_validate(\n File \"/home/stefan/expectedparrot/auto-deploy-to-pypi/edsl/edsl/questions/response_validator_abc.py\", line 79, in _base_validate\n raise QuestionAnswerValidationError(\nedsl.exceptions.questions.QuestionAnswerValidationError: 1 validation error for ChoiceResponse\nanswer\n Input should be 1, 2, 3, 4 or 5 [type=literal_error, input_value=\"As an AI, I don't have p...about it if you'd like!\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n", "invigilator": {"agent": {"traits": {}, "edsl_version": "0.1.40", "edsl_class_name": "Agent"}, "question": {"question_name": "ice_cream", "question_text": "How much do you like ice cream?", "question_options": [1, 2, 3, 4, 5], "option_labels": {"1": "I hate it", "5": "I love it"}, "question_type": "linear_scale", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, "scenario": {"edsl_version": "0.1.40", "edsl_class_name": "Scenario"}, "model": {"model": "gpt-4o", "parameters": {"temperature": 0.5, "max_tokens": 1000, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0, "logprobs": false, "top_logprobs": 3}, "edsl_version": "0.1.40", "edsl_class_name": "LanguageModel"}, "memory_plan": {"survey_question_names": ["never_eat", "extract_name", "how_are_you", "list_of_foods", "child_happiness", "example", "how_feeling", "age", "food_budget", "rank_foods", "happy_raining", "ice_cream", "is_it_equal", "two_fruits"], "survey_question_texts": ["Which of the following foods would you eat if you had to?", "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", "How are you?", "What are your favorite foods?", "How happy would you be with different numbers of children?", "Please provide a simple recipe for hot chocolate.", "How are you?", "You are a 45 year old man. How old are you in years?", "How would you allocate $100?", "Rank your favorite foods.", "I'm only happy when it rains.", "How much do you like ice cream?", "Is 5 + 5 equal to 11?", "Which of the following fruits do you prefer?"], "data": {}}, "current_answers": {"extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provides your name and current profession as a truck driver. The PhD in astrology is noted, but it seems your current profession is the focus here.", "extract_name": {"name": "Moby Dick", "profession": "Truck Driver"}, "extract_name_comment": "The input provides your name and current profession as a truck driver. The PhD in astrology is noted, but it seems your current profession is the focus here.", "how_feeling_generated_tokens": "Great", "how_feeling": "Great", "never_eat_generated_tokens": "[3, 4]", "never_eat": ["panda milk custard", "McDonalds"], "example_generated_tokens": "```json\n{\n \"title\": \"Simple Hot Chocolate\",\n \"ingredients\": [\n \"2 cups milk\",\n \"2 tablespoons unsweetened cocoa powder\",\n \"2 tablespoons sugar\",\n \"1/4 teaspoon vanilla extract\",\n \"Pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, whisk together cocoa powder, sugar, and salt. Gradually add 2 tablespoons of the milk to form a smooth paste. Stir in the remaining milk. Place the saucepan over medium heat and cook, stirring constantly, until the mixture is hot but not boiling. Remove from heat and stir in vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and value types.", "example": {"title": "Simple Hot Chocolate", "ingredients": ["2 cups milk", "2 tablespoons unsweetened cocoa powder", "2 tablespoons sugar", "1/4 teaspoon vanilla extract", "Pinch of salt"], "num_ingredients": 5, "instructions": "In a small saucepan, whisk together cocoa powder, sugar, and salt. Gradually add 2 tablespoons of the milk to form a smooth paste. Stir in the remaining milk. Place the saucepan over medium heat and cook, stirring constantly, until the mixture is hot but not boiling. Remove from heat and stir in vanilla extract. Pour into mugs and serve hot."}, "example_comment": "# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and value types.", "two_fruits_generated_tokens": "```json\n{\"answer\": [0, 1], \"comment\": \"I prefer apple and banana because they are both sweet, versatile, and widely enjoyed fruits. Carrot is a vegetable, and durian has a unique taste and smell that not everyone appreciates.\"}\n```", "two_fruits": ["apple", "banana"], "two_fruits_comment": "```", "child_happiness_generated_tokens": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 5}\n\nThese choices reflect a neutral stance on having no children, increasing happiness with the addition of each child, and reaching the peak of happiness with three or more children. This reflects a personal preference for a larger family, with the understanding that individual preferences and circumstances can vary widely.", "child_happiness": {"No children": 2, "1 child": 3, "2 children": 4, "3 or more children": 5}, "child_happiness_comment": "These choices reflect a neutral stance on having no children, increasing happiness with the addition of each child, and reaching the peak of happiness with three or more children. This reflects a personal preference for a larger family, with the understanding that individual preferences and circumstances can vary widely.", "happy_raining_generated_tokens": "Neutral\n\nThis phrase could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. It might refer to enjoying the atmosphere of rain or having a preference for rainy weather, which can be subjective.", "happy_raining": "Neutral", "happy_raining_comment": "This phrase could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. It might refer to enjoying the atmosphere of rain or having a preference for rainy weather, which can be subjective.", "how_are_you_generated_tokens": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", "how_are_you": "Thank you for asking! I'm just a computer program, so I don't have feelings, but I'm here to help you. How can I assist you today?", "food_budget_generated_tokens": "[30,20,30,20] \nI allocated more to pizza and burgers as they are typically more filling and popular choices. Ice cream and salad received less but still a reasonable share to balance out the meal with dessert and a healthier option.", "food_budget": [{"Pizza": 30.0}, {"Ice Cream": 20.0}, {"Burgers": 30.0}, {"Salad": 20.0}], "food_budget_comment": "I allocated more to pizza and burgers as they are typically more filling and popular choices. Ice cream and salad received less but still a reasonable share to balance out the meal with dessert and a healthier option.", "age_generated_tokens": "45", "age": 45, "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and widely enjoyed for their flavors and versatility.", "list_of_foods": ["Pizza", "Sushi", "Chocolate"], "list_of_foods_comment": "These foods are popular and widely enjoyed for their flavors and versatility.", "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza and pasta are versatile, comforting, and can be customized with a variety of flavors and ingredients, making them top choices.", "rank_foods": ["Pizza", "Pasta"], "rank_foods_comment": "Pizza and pasta are versatile, comforting, and can be customized with a variety of flavors and ingredients, making them top choices.", "is_it_equal_generated_tokens": "No\n\nThe sum of 5 + 5 is equal to 10, not 11.", "is_it_equal": "No", "is_it_equal_comment": "The sum of 5 + 5 is equal to 10, not 11.", "ice_cream": null}, "iteration": 0, "additional_prompt_data": null, "survey": {"questions": [{"question_name": "never_eat", "question_text": "Which of the following foods would you eat if you had to?", "min_selections": 2, "max_selections": 5, "question_options": ["soggy meatpie", "rare snails", "mouldy bread", "panda milk custard", "McDonalds"], "include_comment": false, "use_code": true, "question_type": "checkbox", "edsl_version": "0.1.40", "edsl_class_name": "QuestionBase"}, {"question_name": "extract_name", "question_text": "My name is Moby Dick. 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explaining why you chose that option on the next line.\n Before the question you are now answering, you already answered the following question(s):\n \tQuestion: What is your favorite color?\n\tAnswer: None", "class_name": "Prompt"}, "day_system_prompt": {"text": "", "class_name": "Prompt"}, "winter_user_prompt": {"text": "How much do you enjoy winter?\n\n0 : Hate it\n\n1 : \n\n2 : \n\n3 : \n\n4 : \n\n5 : Love it\n\nOnly 1 option may be selected.\n\nRespond only with the code corresponding to one of the options. 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"color == 'Blue'", "next_q": 4, "priority": 0, "question_name_to_index": {"color": 0, "day": 1, "winter": 2, "birds": 3}, "before_rule": true}, {"current_q": 0, "expression": "color == 'Blue'", "next_q": "EndOfSurvey", "priority": 0, "question_name_to_index": {"color": 0, "day": 1, "winter": 2, "birds": 3}, "before_rule": false}, {"current_q": 0, "expression": "color == 'Red'", "next_q": 2, "priority": 1, "question_name_to_index": {"color": 0, "day": 1, "winter": 2, "birds": 3}, "before_rule": false}], "num_questions": 4}, "question_groups": {}}, "created_columns": [], "cache": {}}}] \ No newline at end of file From 2713bc6a69ebe35c515ca73f12aef98f4da007db Mon Sep 17 00:00:00 2001 From: John Horton Date: Thu, 16 Jan 2025 07:17:32 -0500 Subject: [PATCH 2/2] Fix invigilator serialization issue --- .../jobs/interviews/InterviewExceptionEntry.py | 18 ++++++++++++++---- 1 file changed, 14 insertions(+), 4 deletions(-) diff --git a/edsl/jobs/interviews/InterviewExceptionEntry.py b/edsl/jobs/interviews/InterviewExceptionEntry.py index 74f7638f..8e3db7d3 100644 --- a/edsl/jobs/interviews/InterviewExceptionEntry.py +++ b/edsl/jobs/interviews/InterviewExceptionEntry.py @@ -1,5 +1,6 @@ import traceback import datetime +from edsl.agents.InvigilatorBase import InvigilatorBase class InterviewExceptionEntry: @@ -9,7 +10,7 @@ def __init__( self, *, exception: Exception, - invigilator: "Invigilator", + invigilator: "InvigilatorBase", traceback_format="text", answers=None, ): @@ -20,6 +21,8 @@ def __init__( self.traceback_format = traceback_format self.answers = answers + # breakpoint() + @property def question_type(self): # return self.failed_question.question.question_type @@ -163,12 +166,16 @@ def to_dict(self) -> dict: >>> entry = InterviewExceptionEntry.example() >>> _ = entry.to_dict() """ - return { + invigilator = ( + self.invigilator.to_dict() if self.invigilator is not None else None + ) + d = { "exception": self.serialize_exception(self.exception), "time": self.time, "traceback": self.traceback, - "invigilator": self.invigilator.to_dict(), + "invigilator": invigilator, } + return d @classmethod def from_dict(cls, data: dict) -> "InterviewExceptionEntry": @@ -176,7 +183,10 @@ def from_dict(cls, data: dict) -> "InterviewExceptionEntry": from edsl.agents.Invigilator import InvigilatorAI exception = cls.deserialize_exception(data["exception"]) - invigilator = InvigilatorAI.from_dict(data["invigilator"]) + if data["invigilator"] is None: + invigilator = None + else: + invigilator = InvigilatorAI.from_dict(data["invigilator"]) return cls(exception=exception, invigilator=invigilator)