diff --git a/edsl/__version__.py b/edsl/__version__.py index 0e502ec3..a6ee5823 100644 --- a/edsl/__version__.py +++ b/edsl/__version__.py @@ -1 +1 @@ -__version__ = "0.1.42.dev1" +__version__ = "0.1.43.dev1" diff --git a/pyproject.toml b/pyproject.toml index 44abb17a..d388dc75 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 = "0.1.42.dev1" +version = "0.1.43.dev1" [tool.poetry.dependencies] python = ">=3.9.1,<3.13" diff --git a/tests/serialization/data/0.1.42.json b/tests/serialization/data/0.1.42.json index 3491a9b3..41ebbfd9 100644 --- a/tests/serialization/data/0.1.42.json +++ b/tests/serialization/data/0.1.42.json @@ -1 +1 @@ -[{"class_name": "Study", "dict": {"name": "example_study", "description": null, "objects": {"1144312636257752766": {"created_at": 1737307594.9148357, "variable_name": "q", "object": {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.41", "edsl_class_name": "QuestionBase"}, "edsl_class_name": "QuestionFreeText", "description": "Question name: how_are_you", "coop_info": null}}, "filename": "example_study", "cache": {"edsl_version": "0.1.41", "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": "0.1.41", "edsl_class_name": "Scenario"}}, {"class_name": "FileStore", "dict": {"path": "/tmp/tmph0xfthas.txt", "base64_string": "SGVsbG8sIFdvcmxkIQ==", "binary": false, "suffix": "txt", "mime_type": "text/plain", "external_locations": {}, "extracted_text": "Hello, World!", "edsl_version": "0.1.41", "edsl_class_name": "Scenario"}}, {"class_name": "CSVFileStore", "dict": {"path": "/tmp/tmpsoycsq66.csv", "base64_string": "YW5zd2VyLmhvd19mZWVsaW5nLGFuc3dlci5ob3dfZmVlbGluZ195ZXN0ZXJkYXksc2NlbmFyaW8ucGVyaW9kLHNjZW5hcmlvLnNjZW5hcmlvX2luZGV4LGFnZW50LmFnZW50X25hbWUsYWdlbnQuYWdlbnRfaW5kZXgsYWdlbnQuc3RhdHVzLGFnZW50LmFnZW50X2luc3RydWN0aW9uLG1vZGVsLm1vZGVsLG1vZGVsLnRvcF9wLG1vZGVsLnByZXNlbmNlX3BlbmFsdHksbW9kZWwubG9ncHJvYnMsbW9kZWwuZnJlcXVlbmN5X3BlbmFsdHksbW9kZWwudG9wX2xvZ3Byb2JzLG1vZGVsLm1vZGVsX2luZGV4LG1vZGVsLm1heF90b2tlbnMsbW9kZWwudGVtcGVyYXR1cmUscHJvbXB0Lmhvd19mZWVsaW5nX3VzZXJfcHJvbXB0LHByb21wdC5ob3dfZmVlbGluZ195ZXN0ZXJkYXlfc3lzdGVtX3Byb21wdCxwcm9tcHQuaG93X2ZlZWxpbmdfc3lzdGVtX3Byb21wdCxwcm9tcHQuaG93X2ZlZWxpbmdfeWVzdGVyZGF5X3VzZXJfcHJvbXB0LHJhd19tb2RlbF9yZXNwb25zZS5ob3dfZmVlbGluZ19jb3N0LHJhd19tb2RlbF9yZXNwb25zZS5ob3dfZmVlbGluZ195ZXN0ZXJkYXlfY29zdCxyYXdfbW9kZWxfcmVzcG9uc2UuaG93X2ZlZWxpbmdfb25lX3VzZF9idXlzLHJhd19tb2RlbF9yZXNwb25zZS5ob3dfZmVlbGluZ195ZXN0ZXJkYXlfb25lX3VzZF9idXlzLHJhd19tb2RlbF9yZXNwb25zZS5ob3dfZmVlbGluZ195ZXN0ZXJkYXlfcmF3X21vZGVsX3Jlc3BvbnNlLHJhd19tb2RlbF9yZXNwb25zZS5ob3dfZmVlbGluZ19yYXdfbW9kZWxfcmVzcG9uc2UsaXRlcmF0aW9uLml0ZXJhdGlvbixxdWVzdGlvbl90ZXh0Lmhvd19mZWVsaW5nX3llc3RlcmRheV9xdWVzdGlvbl90ZXh0LHF1ZXN0aW9uX3RleHQuaG93X2ZlZWxpbmdfcXVlc3Rpb25fdGV4dCxxdWVzdGlvbl9vcHRpb25zLmhvd19mZWVsaW5nX3llc3RlcmRheV9xdWVzdGlvbl9vcHRpb25zLHF1ZXN0aW9uX29wdGlvbnMuaG93X2ZlZWxpbmdfcXVlc3Rpb25fb3B0aW9ucyxxdWVzdGlvbl90eXBlLmhvd19mZWVsaW5nX3F1ZXN0aW9uX3R5cGUscXVlc3Rpb25fdHlwZS5ob3dfZmVlbGluZ195ZXN0ZXJkYXlfcXVlc3Rpb25fdHlwZSxjb21tZW50Lmhvd19mZWVsaW5nX3llc3RlcmRheV9jb21tZW50LGNvbW1lbnQuaG93X2ZlZWxpbmdfY29tbWVudCxnZW5lcmF0ZWRfdG9rZW5zLmhvd19mZWVsaW5nX3llc3RlcmRheV9nZW5lcmF0ZWRfdG9rZW5zLGdlbmVyYXRlZF90b2tlbnMuaG93X2ZlZWxpbmdfZ2VuZXJhdGVkX3Rva2VucyxjYWNoZV91c2VkLmhvd19mZWVsaW5nX3llc3RlcmRheV9jYWNoZV91c2VkLGNhY2hlX3VzZWQuaG93X2ZlZWxpbmdfY2FjaGVfdXNlZCxjYWNoZV9rZXlzLmhvd19mZWVsaW5nX2NhY2hlX2tleSxjYWNoZV9rZXlzLmhvd19mZWVsaW5nX3llc3RlcmRheV9jYWNoZV9rZXkKT0ssR3JlYXQsbW9ybmluZywwLEFnZW50XzAsMCxKb3lmdWwsWW91IGFyZSBhbnN3ZXJpbmcgcXVlc3Rpb25zIGFzIGlmIHlvdSB3ZXJlIGEgaHVtYW4uIERvIG5vdCBicmVhayBjaGFyYWN0ZXIuLGdwdC00bywxLDAsRmFsc2UsMCwzLDAsMTAwMCwwLjUsTkEsTkEsTkEsTkEsLCxOQSxOQSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSwwLEhvdyB3ZXJlIHlvdSBmZWVsaW5nIHllc3RlcmRheSB7eyBwZXJpb2QgfX0/LEhvdyBhcmUgeW91IHRoaXMge3sgcGVyaW9kIH19PywiWydHb29kJywgJ0dyZWF0JywgJ09LJywgJ1RlcnJpYmxlJ10iLCJbJ0dvb2QnLCAnR3JlYXQnLCAnT0snLCAnVGVycmlibGUnXSIsbXVsdGlwbGVfY2hvaWNlLG11bHRpcGxlX2Nob2ljZSxUaGlzIGlzIGEgcmVhbCBzdXJ2ZXkgcmVzcG9uc2UgZnJvbSBhIGh1bWFuLixUaGlzIGlzIGEgcmVhbCBzdXJ2ZXkgcmVzcG9uc2UgZnJvbSBhIGh1bWFuLixOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZQpHcmVhdCxHb29kLGFmdGVybm9vbiwxLEFnZW50XzAsMCxKb3lmdWwsWW91IGFyZSBhbnN3ZXJpbmcgcXVlc3Rpb25zIGFzIGlmIHlvdSB3ZXJlIGEgaHVtYW4uIERvIG5vdCBicmVhayBjaGFyYWN0ZXIuLGdwdC00bywxLDAsRmFsc2UsMCwzLDAsMTAwMCwwLjUsTkEsTkEsTkEsTkEsLCxOQSxOQSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSwwLEhvdyB3ZXJlIHlvdSBmZWVsaW5nIHllc3RlcmRheSB7eyBwZXJpb2QgfX0/LEhvdyBhcmUgeW91IHRoaXMge3sgcGVyaW9kIH19PywiWydHb29kJywgJ0dyZWF0JywgJ09LJywgJ1RlcnJpYmxlJ10iLCJbJ0dvb2QnLCAnR3JlYXQnLCAnT0snLCAnVGVycmlibGUnXSIsbXVsdGlwbGVfY2hvaWNlLG11bHRpcGxlX2Nob2ljZSxUaGlzIGlzIGEgcmVhbCBzdXJ2ZXkgcmVzcG9uc2UgZnJvbSBhIGh1bWFuLixUaGlzIGlzIGEgcmVhbCBzdXJ2ZXkgcmVzcG9uc2UgZnJvbSBhIGh1bWFuLixOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZQpUZXJyaWJsZSxPSyxtb3JuaW5nLDAsQWdlbnRfMSwxLFNhZCxZb3UgYXJlIGFuc3dlcmluZyBxdWVzdGlvbnMgYXMgaWYgeW91IHdlcmUgYSBodW1hbi4gRG8gbm90IGJyZWFrIGNoYXJhY3Rlci4sZ3B0LTRvLDEsMCxGYWxzZSwwLDMsMCwxMDAwLDAuNSxOQSxOQSxOQSxOQSwsLE5BLE5BLE5vdCBBcHBsaWNhYmxlLE5vdCBBcHBsaWNhYmxlLDAsSG93IHdlcmUgeW91IGZlZWxpbmcgeWVzdGVyZGF5IHt7IHBlcmlvZCB9fT8sSG93IGFyZSB5b3UgdGhpcyB7eyBwZXJpb2QgfX0/LCJbJ0dvb2QnLCAnR3JlYXQnLCAnT0snLCAnVGVycmlibGUnXSIsIlsnR29vZCcsICdHcmVhdCcsICdPSycsICdUZXJyaWJsZSddIixtdWx0aXBsZV9jaG9pY2UsbXVsdGlwbGVfY2hvaWNlLFRoaXMgaXMgYSByZWFsIHN1cnZleSByZXNwb25zZSBmcm9tIGEgaHVtYW4uLFRoaXMgaXMgYSByZWFsIHN1cnZleSByZXNwb25zZSBmcm9tIGEgaHVtYW4uLE5vdCBBcHBsaWNhYmxlLE5vdCBBcHBsaWNhYmxlLE5vdCBBcHBsaWNhYmxlLE5vdCBBcHBsaWNhYmxlLE5vdCBBcHBsaWNhYmxlLE5vdCBBcHBsaWNhYmxlCk9LLFRlcnJpYmxlLGFmdGVybm9vbiwxLEFnZW50XzEsMSxTYWQsWW91IGFyZSBhbnN3ZXJpbmcgcXVlc3Rpb25zIGFzIGlmIHlvdSB3ZXJlIGEgaHVtYW4uIERvIG5vdCBicmVhayBjaGFyYWN0ZXIuLGdwdC00bywxLDAsRmFsc2UsMCwzLDAsMTAwMCwwLjUsTkEsTkEsTkEsTkEsLCxOQSxOQSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSwwLEhvdyB3ZXJlIHlvdSBmZWVsaW5nIHllc3RlcmRheSB7eyBwZXJpb2QgfX0/LEhvdyBhcmUgeW91IHRoaXMge3sgcGVyaW9kIH19PywiWydHb29kJywgJ0dyZWF0JywgJ09LJywgJ1RlcnJpYmxlJ10iLCJbJ0dvb2QnLCAnR3JlYXQnLCAnT0snLCAnVGVycmlibGUnXSIsbXVsdGlwbGVfY2hvaWNlLG11bHRpcGxlX2Nob2ljZSxUaGlzIGlzIGEgcmVhbCBzdXJ2ZXkgcmVzcG9uc2UgZnJvbSBhIGh1bWFuLixUaGlzIGlzIGEgcmVhbCBzdXJ2ZXkgcmVzcG9uc2UgZnJvbSBhIGh1bWFuLixOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZSxOb3QgQXBwbGljYWJsZQo=", 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Test

", "edsl_version": "0.1.41", "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": "0.1.41", "edsl_class_name": "Scenario"}, {"persona": "A reseacher studying whether LLMs can be used to generate surveys.", "edsl_version": "0.1.41", "edsl_class_name": "Scenario"}], "edsl_version": "0.1.41", "edsl_class_name": "ScenarioList"}}, {"class_name": "AgentTraits", "dict": {"persona": "A reseacher studying whether LLMs can be used to generate surveys.", "edsl_version": "0.1.41", "edsl_class_name": "Scenario"}}, {"class_name": "Agent", "dict": {"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.41", "edsl_class_name": "Agent"}}, {"class_name": "AgentList", "dict": {"agent_list": [{"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.41", "edsl_class_name": "Agent"}, {"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.41", "edsl_class_name": "Agent"}], "edsl_version": "0.1.41", "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": "0.1.41", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "LanguageModel"}], "edsl_version": "0.1.41", "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": 1737307601}, "edsl_version": "0.1.41", "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": "0.1.41", "edsl_class_name": "Agent"}, "scenario": {"period": "morning", "scenario_index": 0, "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "Survey"}, "agents": [{"traits": {"status": "Joyful"}, "edsl_version": "0.1.41", "edsl_class_name": "Agent"}, {"traits": {"status": "Sad"}, "edsl_version": "0.1.41", "edsl_class_name": "Agent"}], "models": [], "scenarios": [{"period": "morning", "edsl_version": "0.1.41", "edsl_class_name": "Scenario"}, {"period": "afternoon", "edsl_version": "0.1.41", "edsl_class_name": "Scenario"}], "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionFreeText", "dict": {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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-ArTMMHEjXb93CW9cgDsBcL4wc6NW0", "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 I cannot select the first option.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307606, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 33, "prompt_tokens": 101, "total_tokens": 134, "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": 0.0005009989980020041, "q2_one_usd_buys": 1996.011976047904}, "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 I cannot select the first option."}, "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 I cannot select the first option."}, "cache_used_dict": {"q0": null, "q1": null, "q2": false}, "cache_keys": {"q0": null, "q1": null, "q2": "2a2dbbe5440b93941263c5ef505a2522"}}, {"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-ArTMLUkGlS887atxeWke3UqR8kl2r", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\nI chose \"other\" because the presence or absence of killer bees in a cafeteria is not a typical concern or reason for any situation that would require a single choice response.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307605, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 37, "prompt_tokens": 100, "total_tokens": 137, "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": 0.00062, "q2_one_usd_buys": 1612.9032258064517}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": null, "q1_generated_tokens": null, "q2_generated_tokens": "other\nI chose \"other\" because the presence or absence of killer bees in a cafeteria is not a typical concern or reason for any situation that would require a single choice response."}, "comments_dict": {"q0_comment": "Task was cancelled.", "q1_comment": "Task was cancelled.", "q2_comment": "I chose \"other\" because the presence or absence of killer bees in a cafeteria is not a typical concern or reason for any situation that would require a single choice response."}, "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": 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 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-ArTMJzlPQbvPXFEu7JEmBzp6jZtbs", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "no\nSchool was not my favorite, but I did enjoy learning about cooking and culinary arts outside of the traditional school setting.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307603, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 26, "prompt_tokens": 96, "total_tokens": 122, "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": 0.000443999112001776, "q0_one_usd_buys": 2252.2567567567567, "q1_raw_model_response": {"id": "chatcmpl-ArTMK4VoBs26n9qzr84cXNxUF7LdJ", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\n# As a chef, my expertise lies in cooking and food-related matters, so I would choose \"other\" to indicate that this situation is outside of my area of expertise.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307604, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 38, "prompt_tokens": 97, "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}}}, "q1_cost": 0.000518998962002076, "q1_one_usd_buys": 1926.7861271676302, "q2_raw_model_response": null, "q2_cost": null, "q2_one_usd_buys": "NA"}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": "no\nSchool was not my favorite, but I did enjoy learning about cooking and culinary arts outside of the traditional school setting.", "q1_generated_tokens": "other\n# As a chef, my expertise lies in cooking and food-related matters, so I would choose \"other\" to indicate that this situation is outside of my area of expertise.", "q2_generated_tokens": null}, "comments_dict": {"q0_comment": "School was not my favorite, but I did enjoy learning about cooking and culinary arts outside of the traditional school setting.", "q1_comment": "# As a chef, my expertise lies in cooking and food-related matters, so I would choose \"other\" to indicate that this situation is outside of my area of expertise.", "q2_comment": "Question answer validation failed."}, "cache_used_dict": {"q0": false, "q1": false, "q2": null}, "cache_keys": {"q0": "21e756db3aaa193c16cfd8c6d6d8062f", "q1": "972cb8d998b4c5619ba393aa1a903c55", "q2": null}}, {"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-ArTMNa9y5OPV6xp3GYGny9Eyxet5S", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other \nThe lack of killer bees in a cafeteria is not typically a relevant factor for most situations, so \"other\" is likely the more applicable choice.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307607, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 32, "prompt_tokens": 100, "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}}}, "q2_cost": 0.00057, "q2_one_usd_buys": 1754.3859649122808}, "question_to_attributes": null, "generated_tokens": {"q0_generated_tokens": null, "q1_generated_tokens": null, "q2_generated_tokens": "other \nThe lack of killer bees in a cafeteria is not typically a relevant factor for most situations, so \"other\" is likely the more applicable choice."}, "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 a relevant factor for most situations, so \"other\" is likely the more applicable choice."}, "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.41", "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": "0.1.41", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {}, "indices": {"agent": 0, "model": 0, "scenario": 0}}, {"agent": {"traits": {"persona": "You are a scientist", "age": 20}, "edsl_version": "0.1.41", "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": "0.1.41", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.41", "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": "0.1.41", "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": "2025-01-19T17:26:45.870688", "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 chef", "age": 40}, "edsl_version": "0.1.41", "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": "0.1.41", "edsl_class_name": "QuestionBase"}, "scenario": {"edsl_version": "0.1.41", "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": "0.1.41", "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": "no\nSchool was not my favorite, but I did enjoy learning about cooking and culinary arts outside of the traditional school setting.", "q0": "no", "q0_comment": "School was not my favorite, but I did enjoy learning about cooking and culinary arts outside of the traditional school setting.", "q1_generated_tokens": "other\n# As a chef, my expertise lies in cooking and food-related matters, so I would choose \"other\" to indicate that this situation is outside of my area of expertise.", "q1": "other", "q1_comment": "# As a chef, my expertise lies in cooking and food-related matters, so I would choose \"other\" to indicate that this situation is outside of my area of expertise.", "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": "0.1.41", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "Survey"}}}]}, "indices": {"agent": 1, "model": 0, "scenario": 0}}, {"agent": {"traits": {"persona": "You are a chef", "age": 40}, "edsl_version": "0.1.41", "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": "0.1.41", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.41", "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": "0.1.41", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {}, "indices": {"agent": 1, "model": 1, "scenario": 0}}], "include_traceback": false, "edsl_version": "0.1.41", "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 program, so I don't have feelings, but I'm here and ready to help you with whatever you need. How can I assist you today?", "list_of_foods": ["Pizza", "Sushi", "Chocolate", "Tacos", "Pasta"], "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", "A pinch of salt"], "num_ingredients": 5, "instructions": "In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk and whisk until the cocoa and sugar are dissolved. Place the saucepan over medium heat and warm the mixture, stirring occasionally, until hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and enjoy!"}, "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-ArTMOVJKlB7nxkxZQNB3rj7HVE0Ql", "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": 1737307608, "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-ArTMP4UFXwnKUIk5M62XIaLMbt8nP", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provides the name \"Moby Dick\" and the profession \"Truck Driver.\" The PhD in astrology is not considered the profession, as the input states that the person is actually a truck driver.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307609, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 57, "prompt_tokens": 95, "total_tokens": 152, "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": 0.0008075, "extract_name_one_usd_buys": 1238.390092879257, "how_are_you_raw_model_response": {"id": "chatcmpl-ArTMUSTHiGiJsMkczqDuhQdEk7V8s", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Thank you for asking! I'm just a program, so I don't have feelings, but I'm here and ready to help you with whatever you need. How can I assist you today?", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307614, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 37, "prompt_tokens": 11, "total_tokens": 48, "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": 0.0003975, "how_are_you_one_usd_buys": 2515.7232704402513, "list_of_foods_raw_model_response": {"id": "chatcmpl-ArTMSg1yTXLV0qqFzwGpF9stQRk1q", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[\"Pizza\", \"Sushi\", \"Chocolate\", \"Tacos\", \"Pasta\"] \nThese foods are popular due to their wide variety of flavors, cultural significance, and universal appeal.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307612, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 39, "prompt_tokens": 66, "total_tokens": 105, "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": 0.0005549999999999999, "list_of_foods_one_usd_buys": 1801.801801801802, "child_happiness_raw_model_response": {"id": "chatcmpl-ArTMQ8YN5huTOvgh1mOZzpPBdak0O", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 5}\n\nI chose 3 (Neutral) for no children as it reflects a balance between the freedom of a child-free life and the potential for missing out on parenthood experiences. For 1 child, I selected 4 because it offers a manageable family dynamic with the joy of raising a child. For 2 children, I chose 5 as it often provides a balanced family experience with companionship for the children. For 3 or more children, I also selected 5, reflecting the potential for a lively and fulfilling family life, although it may come with more responsibilities.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307610, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 138, "prompt_tokens": 142, "total_tokens": 280, "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": 0.001735, "child_happiness_one_usd_buys": 576.3688760806916, "example_raw_model_response": {"id": "chatcmpl-ArTMS4aHhsx4982lkvDKJyCKq0N32", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "```python\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 \"A pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk and whisk until the cocoa and sugar are dissolved. Place the saucepan over medium heat and warm the mixture, stirring occasionally, until hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and enjoy!\"\n}\n```\n# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and types.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307612, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 160, "prompt_tokens": 166, "total_tokens": 326, "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": 0.0020150000000000003, "example_one_usd_buys": 496.2779156327543, "how_feeling_raw_model_response": {"id": "chatcmpl-ArTMOlr1DyKSbpaBYAjHWQuO6FALZ", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Great", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307608, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "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-ArTMVrR5jJYwrPky2bUfoB0JYsWoX", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "45", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307615, "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-ArTMRp3Mbau72u7zvQlTv6uT3Uwvy", "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 options, while ice cream and salad received less since they are often considered sides or desserts.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307611, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 44, "prompt_tokens": 125, "total_tokens": 169, "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}}}, "food_budget_cost": 0.0007525, "food_budget_one_usd_buys": 1328.9036544850499, "rank_foods_raw_model_response": {"id": "chatcmpl-ArTMRvpT0GfL1iGj03qm3R8zzBklJ", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "['Pizza', 'Pasta'] \nPizza and pasta are versatile, comforting, and can be made with a variety of flavors and ingredients, making them favorites for many people.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307611, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 36, "prompt_tokens": 87, "total_tokens": 123, "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}}}, "rank_foods_cost": 0.0005775, "rank_foods_one_usd_buys": 1731.6017316017317, "happy_raining_raw_model_response": {"id": "chatcmpl-ArTMWpyWXP1kNeicMced6AhmTUSrk", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Neutral\n\nThis statement could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. Some people might enjoy the rain for its calming effect, while others might feel gloomy.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307616, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 41, "prompt_tokens": 71, "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}}}, "happy_raining_cost": 0.0005875, "happy_raining_one_usd_buys": 1702.127659574468, "ice_cream_raw_model_response": null, "ice_cream_cost": null, "ice_cream_one_usd_buys": "NA", "is_it_equal_raw_model_response": {"id": "chatcmpl-ArTMUnAIcQKkBEIWjw7H1Fn5uitYb", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "No\n\n5 + 5 equals 10, not 11.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307614, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 15, "prompt_tokens": 53, "total_tokens": 68, "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}}}, "is_it_equal_cost": 0.0002825, "is_it_equal_one_usd_buys": 3539.823008849558, "two_fruits_raw_model_response": {"id": "chatcmpl-ArTMPAUJc8tUy61u9m46D2y5EFhzQ", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "```json\n{\"answer\": [0, 1], \"comment\": \"I prefer apple and banana because they are both sweet, widely popular, and versatile fruits that can be enjoyed in various dishes or on their own.\"}\n```", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307609, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 48, "prompt_tokens": 75, "total_tokens": 123, "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": 0.0006675, "two_fruits_one_usd_buys": 1498.12734082397}, "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 the name \"Moby Dick\" and the profession \"Truck Driver.\" The PhD in astrology is not considered the profession, as the input states that the person is actually a truck driver.", "how_are_you_generated_tokens": "Thank you for asking! I'm just a program, so I don't have feelings, but I'm here and ready to help you with whatever you need. How can I assist you today?", "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\", \"Tacos\", \"Pasta\"] \nThese foods are popular due to their wide variety of flavors, cultural significance, and universal appeal.", "child_happiness_generated_tokens": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 5}\n\nI chose 3 (Neutral) for no children as it reflects a balance between the freedom of a child-free life and the potential for missing out on parenthood experiences. For 1 child, I selected 4 because it offers a manageable family dynamic with the joy of raising a child. For 2 children, I chose 5 as it often provides a balanced family experience with companionship for the children. For 3 or more children, I also selected 5, reflecting the potential for a lively and fulfilling family life, although it may come with more responsibilities.", "example_generated_tokens": "```python\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 \"A pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk and whisk until the cocoa and sugar are dissolved. Place the saucepan over medium heat and warm the mixture, stirring occasionally, until hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and enjoy!\"\n}\n```\n# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and 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 options, while ice cream and salad received less since they are often considered sides or desserts.", "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza and pasta are versatile, comforting, and can be made with a variety of flavors and ingredients, making them favorites for many people.", "happy_raining_generated_tokens": "Neutral\n\nThis statement could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. Some people might enjoy the rain for its calming effect, while others might feel gloomy.", "ice_cream_generated_tokens": null, "is_it_equal_generated_tokens": "No\n\n5 + 5 equals 10, not 11.", "two_fruits_generated_tokens": "```json\n{\"answer\": [0, 1], \"comment\": \"I prefer apple and banana because they are both sweet, widely popular, and versatile fruits that can be enjoyed in various dishes or on their own.\"}\n```"}, "comments_dict": {"never_eat_comment": null, "extract_name_comment": "The input provides the name \"Moby Dick\" and the profession \"Truck Driver.\" The PhD in astrology is not considered the profession, as the input states that the person is actually a truck driver.", "how_are_you_comment": "", "list_of_foods_comment": "These foods are popular due to their wide variety of flavors, cultural significance, and universal appeal.", "child_happiness_comment": "I chose 3 (Neutral) for no children as it reflects a balance between the freedom of a child-free life and the potential for missing out on parenthood experiences. For 1 child, I selected 4 because it offers a manageable family dynamic with the joy of raising a child. For 2 children, I chose 5 as it often provides a balanced family experience with companionship for the children. For 3 or more children, I also selected 5, reflecting the potential for a lively and fulfilling family life, although it may come with more responsibilities.", "example_comment": "# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and 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 options, while ice cream and salad received less since they are often considered sides or desserts.", "rank_foods_comment": "Pizza and pasta are versatile, comforting, and can be made with a variety of flavors and ingredients, making them favorites for many people.", "happy_raining_comment": "This statement could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. Some people might enjoy the rain for its calming effect, while others might feel gloomy.", "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, "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. I have a PhD in astrology, but I'm actually a truck driver", "answer_template": {"name": "John Doe", "profession": "Carpenter"}, "question_type": "extract"}, {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text"}, {"question_name": "list_of_foods", "question_text": "What are your favorite foods?", "question_type": "list"}, {"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"}, {"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"}, {"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"}, {"question_name": "food_budget", "question_text": "How would you allocate $100?", "question_options": ["Pizza", "Ice Cream", "Burgers", "Salad"], "budget_sum": 100, "question_type": "budget"}, {"question_name": "rank_foods", "question_text": "Rank your favorite foods.", "question_options": ["Pizza", "Pasta", "Salad", "Soup"], "num_selections": 2, "question_type": "rank"}, {"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"}, {"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"}, {"question_name": "is_it_equal", "question_text": "Is 5 + 5 equal to 11?", "question_options": ["No", "Yes"], "question_type": "yes_no"}, {"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"}], "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": {}}, "created_columns": [], "cache": {}, "task_history": {"interviews": [{"agent": {"traits": {}, "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "QuestionBase"}, {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.41", "edsl_class_name": "QuestionBase"}, {"question_name": "list_of_foods", "question_text": "What are your favorite foods?", "question_type": "list", "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.41", "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": "0.1.41", "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... ability to taste food.\", 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... ability to taste food.\", 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... ability to taste food.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n"}, "time": "2025-01-19T17:26:54.346678", "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... ability to taste food.\", 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... ability to taste food.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n", "invigilator": {"agent": {"traits": {}, "edsl_version": "0.1.41", "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": "0.1.41", "edsl_class_name": "QuestionBase"}, "scenario": {"edsl_version": "0.1.41", "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": "0.1.41", "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": {"how_feeling_generated_tokens": "Great", "how_feeling": "Great", "never_eat_generated_tokens": "[3, 4]", "never_eat": ["panda milk custard", "McDonalds"], "two_fruits_generated_tokens": "```json\n{\"answer\": [0, 1], \"comment\": \"I prefer apple and banana because they are both sweet, widely popular, and versatile fruits that can be enjoyed in various dishes or on their own.\"}\n```", "two_fruits": ["apple", "banana"], "two_fruits_comment": "```", "extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provides the name \"Moby Dick\" and the profession \"Truck Driver.\" The PhD in astrology is not considered the profession, as the input states that the person is actually a truck driver.", "extract_name": {"name": "Moby Dick", "profession": "Truck Driver"}, "extract_name_comment": "The input provides the name \"Moby Dick\" and the profession \"Truck Driver.\" The PhD in astrology is not considered the profession, as the input states that the person is actually a truck driver.", "food_budget_generated_tokens": "[30,20,30,20] \nI allocated more to pizza and burgers as they are typically more filling and popular options, while ice cream and salad received less since they are often considered sides 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 typically more filling and popular options, while ice cream and salad received less since they are often considered sides or desserts.", "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza and pasta are versatile, comforting, and can be made with a variety of flavors and ingredients, making them favorites for many people.", "rank_foods": ["Pizza", "Pasta"], "rank_foods_comment": "Pizza and pasta are versatile, comforting, and can be made with a variety of flavors and ingredients, making them favorites for many people.", "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\", \"Tacos\", \"Pasta\"] \nThese foods are popular due to their wide variety of flavors, cultural significance, and universal appeal.", "list_of_foods": ["Pizza", "Sushi", "Chocolate", "Tacos", "Pasta"], "list_of_foods_comment": "These foods are popular due to their wide variety of flavors, cultural significance, and universal appeal.", "example_generated_tokens": "```python\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 \"A pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk and whisk until the cocoa and sugar are dissolved. Place the saucepan over medium heat and warm the mixture, stirring occasionally, until hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and enjoy!\"\n}\n```\n# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and types.", "example": {"title": "Simple Hot Chocolate", "ingredients": ["2 cups milk", "2 tablespoons unsweetened cocoa powder", "2 tablespoons sugar", "1/4 teaspoon vanilla extract", "A pinch of salt"], "num_ingredients": 5, "instructions": "In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk and whisk until the cocoa and sugar are dissolved. Place the saucepan over medium heat and warm the mixture, stirring occasionally, until hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and enjoy!"}, "example_comment": "# The response provides a simple hot chocolate recipe formatted as a dictionary with the specified keys and types.", "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.", "how_are_you_generated_tokens": "Thank you for asking! I'm just a program, so I don't have feelings, but I'm here and ready to help you with whatever you need. How can I assist you today?", "how_are_you": "Thank you for asking! I'm just a program, so I don't have feelings, but I'm here and ready to help you with whatever you need. How can I assist you today?", "age_generated_tokens": "45", "age": 45, "happy_raining_generated_tokens": "Neutral\n\nThis statement could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. Some people might enjoy the rain for its calming effect, while others might feel gloomy.", "happy_raining": "Neutral", "happy_raining_comment": "This statement could be interpreted in various ways, and without additional context, it's difficult to strongly agree or disagree. Some people might enjoy the rain for its calming effect, while others might feel gloomy.", "child_happiness_generated_tokens": "{\"0\": 2, \"1\": 3, \"2\": 4, \"3\": 5}\n\nI chose 3 (Neutral) for no children as it reflects a balance between the freedom of a child-free life and the potential for missing out on parenthood experiences. For 1 child, I selected 4 because it offers a manageable family dynamic with the joy of raising a child. For 2 children, I chose 5 as it often provides a balanced family experience with companionship for the children. For 3 or more children, I also selected 5, reflecting the potential for a lively and fulfilling family life, although it may come with more responsibilities.", "child_happiness": {"No children": 2, "1 child": 3, "2 children": 4, "3 or more children": 5}, "child_happiness_comment": "I chose 3 (Neutral) for no children as it reflects a balance between the freedom of a child-free life and the potential for missing out on parenthood experiences. For 1 child, I selected 4 because it offers a manageable family dynamic with the joy of raising a child. For 2 children, I chose 5 as it often provides a balanced family experience with companionship for the children. For 3 or more children, I also selected 5, reflecting the potential for a lively and fulfilling family life, although it may come with more responsibilities.", "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": "0.1.41", "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": "0.1.41", "edsl_class_name": "QuestionBase"}, {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.41", "edsl_class_name": "QuestionBase"}, {"question_name": "list_of_foods", "question_text": "What are your favorite foods?", "question_type": "list", "edsl_version": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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": "0.1.41", "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, 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false, "edsl_version": "0.1.41", "edsl_class_name": "TaskHistory"}}}, {"class_name": "Results", "dict": {"data": [{"agent": {"traits": {}}, "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}, "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": ["Keynote address", "U.S. Holocaust Memorial Museum", "Annual Days of Remembrance", "Washington, D.C."], "sentiment": "Neutral"}, "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: 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.\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: 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.\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-ArTMXh65XOYA5PibDhzuTs435KdJx", "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 information about the main characters, the setting of the show, and its genre, which allows us to extract the necessary values for the answer.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307617, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 70, "prompt_tokens": 251, "total_tokens": 321, "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}}}, "q_extract_cost": 0.0013275000000000001, "q_extract_one_usd_buys": 753.2956685499057, "concepts_raw_model_response": {"id": "chatcmpl-ArTMaIilfR5kwskLxhFnj7a8okr0P", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[\"Keynote address\", \"U.S. Holocaust Memorial Museum\", \"Annual Days of Remembrance\", \"Washington, D.C.\"] \nThe key concepts include the main event (keynote address), the organizing institution (U.S. Holocaust Memorial Museum), the specific occasion (Annual Days of Remembrance), and the location (Washington, D.C.).", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307620, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 71, "prompt_tokens": 109, "total_tokens": 180, "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}}}, "concepts_cost": 0.0009825, "concepts_one_usd_buys": 1017.8117048346055, "sentiment_raw_model_response": {"id": "chatcmpl-ArTMYgeRIiSqmHwiF2N3d04E3QkwI", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Neutral\n\nThe text is factual and does not express any positive or negative sentiment.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307618, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 17, "prompt_tokens": 91, "total_tokens": 108, "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}}}, "sentiment_cost": 0.0003975, "sentiment_one_usd_buys": 2515.7232704402513}, "question_to_attributes": null, "generated_tokens": {"q_extract_generated_tokens": "{'main_characters_list': ['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], 'location': 'Springfield', 'genre': 'animated sitcom'}\n\nThe text provides information about the main characters, the setting of the show, and its genre, which allows us to extract the necessary values for the answer.", "concepts_generated_tokens": "[\"Keynote address\", \"U.S. Holocaust Memorial Museum\", \"Annual Days of Remembrance\", \"Washington, D.C.\"] \nThe key concepts include the main event (keynote address), the organizing institution (U.S. Holocaust Memorial Museum), the specific occasion (Annual Days of Remembrance), and the location (Washington, D.C.).", "sentiment_generated_tokens": "Neutral\n\nThe text is factual and does not express any positive or negative sentiment."}, "comments_dict": {"q_extract_comment": "The text provides information about the main characters, the setting of the show, and its genre, which allows us to extract the necessary values for the answer.", "concepts_comment": "The key concepts include the main event (keynote address), the organizing institution (U.S. Holocaust Memorial Museum), the specific occasion (Annual Days of Remembrance), and the location (Washington, D.C.).", "sentiment_comment": "The text is factual and does not express any positive or negative sentiment."}, "cache_used_dict": {"q_extract": false, "concepts": false, "sentiment": false}, "cache_keys": {"q_extract": "7f57118e910e12c88d6f474f9a072483", "concepts": "c77d4985d8e10a59a385fe1960ab005c", "sentiment": "73c32592f74835b1f213a83ea16908c0"}}, {"agent": {"traits": {}}, "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}, "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": ["immigrants", "dreamers", "Cinco de Mayo", "freedom"], "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: We\u2019re a nation of immigrants. A nation of dreamers. And as Cinco de Mayo represents, a nation of freedom.\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: We\u2019re a nation of immigrants. A nation of dreamers. And as Cinco de Mayo represents, a nation of freedom.\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-ArTMbjemFNV839RKicKHchfRisxTP", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{'main_characters_list': ['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], 'location': 'Springfield', 'genre': 'animated sitcom'}\n\nThis answer extracts the main characters, location, and genre from the provided text. The main characters list includes the names of the Simpsons family members mentioned. The location is identified as the fictional town of Springfield, and the genre is specified as an animated sitcom.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307621, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 91, "prompt_tokens": 251, "total_tokens": 342, "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}}}, "q_extract_cost": 0.0015375, "q_extract_one_usd_buys": 650.4065040650406, "concepts_raw_model_response": {"id": "chatcmpl-ArTMYvtz8IiMyh9lV1IuEEuGFj9yG", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[\"immigrants\", \"dreamers\", \"Cinco de Mayo\", \"freedom\"] \nThe key concepts are \"immigrants\" and \"dreamers\" as they reflect the identity of the nation. \"Cinco de Mayo\" is a cultural reference that symbolizes the nation's diversity and heritage, while \"freedom\" is a fundamental value celebrated in the text.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307618, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 76, "prompt_tokens": 105, "total_tokens": 181, "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}}}, "concepts_cost": 0.0010225, "concepts_one_usd_buys": 977.9951100244499, "sentiment_raw_model_response": {"id": "chatcmpl-ArTMZ4fnL4KkEHfAYhjkDlyWZULi4", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Positive\n\nThe text expresses pride and positivity about the nation's identity and values, emphasizing freedom and diversity.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737307619, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 21, "prompt_tokens": 87, "total_tokens": 108, "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}}}, "sentiment_cost": 0.00042750000000000004, "sentiment_one_usd_buys": 2339.1812865497072}, "question_to_attributes": null, "generated_tokens": {"q_extract_generated_tokens": "{'main_characters_list': ['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], 'location': 'Springfield', 'genre': 'animated sitcom'}\n\nThis answer extracts the main characters, location, and genre from the provided text. The main characters list includes the names of the Simpsons family members mentioned. The location is identified as the fictional town of Springfield, and the genre is specified as an animated sitcom.", "concepts_generated_tokens": "[\"immigrants\", \"dreamers\", \"Cinco de Mayo\", \"freedom\"] \nThe key concepts are \"immigrants\" and \"dreamers\" as they reflect the identity of the nation. \"Cinco de Mayo\" is a cultural reference that symbolizes the nation's diversity and heritage, while \"freedom\" is a fundamental value celebrated in the text.", "sentiment_generated_tokens": "Positive\n\nThe text expresses pride and positivity about the nation's identity and values, emphasizing freedom and diversity."}, "comments_dict": {"q_extract_comment": "This answer extracts the main characters, location, and genre from the provided text. The main characters list includes the names of the Simpsons family members mentioned. The location is identified as the fictional town of Springfield, and the genre is specified as an animated sitcom.", "concepts_comment": "The key concepts are \"immigrants\" and \"dreamers\" as they reflect the identity of the nation. \"Cinco de Mayo\" is a cultural reference that symbolizes the nation's diversity and heritage, while \"freedom\" is a fundamental value celebrated in the text.", "sentiment_comment": "The text expresses pride and positivity about the nation's identity and values, emphasizing freedom and diversity."}, "cache_used_dict": {"q_extract": false, "concepts": false, "sentiment": false}, "cache_keys": {"q_extract": "7f57118e910e12c88d6f474f9a072483", "concepts": "53785b8fa12dd219340f6e8384685202", "sentiment": "9d043ccdb0c86d6545018a9caea95e4a"}}, {"agent": {"traits": {}}, "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}, "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": "American animated sitcom"}, "concepts": ["Medicare solvency", "Social Security", "economic plan", "fair share"], "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-ArTMZ22GuDscOfGawDtCrcH8LkTJK", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{'main_characters_list': ['Homer', 'Marge', 'Bart', 'Lisa', 'Maggie'], 'location': 'Springfield', 'genre': 'American animated sitcom'}\n\nThe text provides the names of the main characters, the location (Springfield), and the genre (American animated sitcom) of \"The Simpsons\".", "refusal": null, "role": "assistant", "audio": null, "function_call": null, 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Test

", "edsl_version": "0.1.42", "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}, "inference_service": "openai"}, "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": {"how_feeling": {"question_text": "How are you this {{ period }}?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Terrible"]}, "how_feeling_yesterday": {"question_text": "How were you feeling yesterday {{ period }}?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Terrible"]}}, "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"}, "indices": {"agent": 0, "model": 0, "scenario": 0}}, {"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}, "inference_service": "openai"}, "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": {"how_feeling": {"question_text": "How are you this {{ period }}?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Terrible"]}, "how_feeling_yesterday": {"question_text": "How were you feeling yesterday {{ period }}?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Terrible"]}}, "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"}, "indices": {"agent": 0, "model": 0, "scenario": 1}}, {"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}, "inference_service": "openai"}, "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": {"how_feeling": {"question_text": "How are you this {{ period }}?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Terrible"]}, "how_feeling_yesterday": {"question_text": "How were you feeling yesterday {{ period }}?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Terrible"]}}, "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"}, "indices": {"agent": 1, "model": 0, "scenario": 0}}, {"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}, "inference_service": "openai"}, "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": {"how_feeling": {"question_text": "How are you this {{ period }}?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Terrible"]}, "how_feeling_yesterday": {"question_text": "How were you feeling yesterday {{ period }}?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Terrible"]}}, "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"}, "indices": {"agent": 1, "model": 0, "scenario": 1}}], "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": "0.1.42", "edsl_class_name": "Scenario"}, {"persona": "A reseacher studying whether LLMs can be used to generate surveys.", "edsl_version": "0.1.42", "edsl_class_name": "Scenario"}], "edsl_version": "0.1.42", "edsl_class_name": "ScenarioList"}}, {"class_name": "AgentTraits", "dict": {"persona": "A reseacher studying whether LLMs can be used to generate surveys.", "edsl_version": "0.1.42", "edsl_class_name": "Scenario"}}, {"class_name": "Agent", "dict": {"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.42", "edsl_class_name": "Agent"}}, {"class_name": "AgentList", "dict": {"agent_list": [{"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.42", "edsl_class_name": "Agent"}, {"traits": {"age": 22, "hair": "brown", "height": 5.5}, "edsl_version": "0.1.42", "edsl_class_name": "Agent"}], "edsl_version": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "edsl_class_name": "LanguageModel"}], "edsl_version": "0.1.42", "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": 1737718441}, "edsl_version": "0.1.42", "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": "0.1.42", "edsl_class_name": "Agent"}, "scenario": {"period": "morning", "scenario_index": 0, "edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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": {"how_feeling": {"question_text": "How are you this {{ period }}?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Terrible"]}, "how_feeling_yesterday": {"question_text": "How were you feeling yesterday {{ period }}?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Terrible"]}}, "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"}, "indices": {"agent": 0, "model": 0, "scenario": 0}, "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}, "agents": [{"traits": {"status": "Joyful"}, "edsl_version": "0.1.42", "edsl_class_name": "Agent"}, {"traits": {"status": "Sad"}, "edsl_version": "0.1.42", "edsl_class_name": "Agent"}], "models": [], "scenarios": [{"period": "morning", "edsl_version": "0.1.42", "edsl_class_name": "Scenario"}, {"period": "afternoon", "edsl_version": "0.1.42", "edsl_class_name": "Scenario"}], "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionFreeText", "dict": {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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}, "inference_service": "openai"}, "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. 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Cafeterias typically don't have killer bees, so \"other\" is the logical choice."}, "comments_dict": {"q0_comment": "Task was cancelled.", "q1_comment": "Task was cancelled.", "q2_comment": "The question seems to be about an unusual scenario. 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"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": "0.1.42", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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 165, 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": "2025-01-24T11:34:03.983650", "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 165, 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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, "scenario": {"edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}}}]}, "indices": {"agent": 0, "model": 0, "scenario": 0}}, {"agent": {"traits": {"persona": "You are a scientist", "age": 20}, "edsl_version": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {}, "indices": {"agent": 1, "model": 1, "scenario": 0}}], "include_traceback": false, "edsl_version": "0.1.42", "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}, "inference_service": "openai"}, "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 and ready to help you with anything you need. How can I assist you today?", "list_of_foods": ["Pizza", "Sushi", "Chocolate"], "child_happiness": {"No children": 3, "1 child": 4, "2 children": 5, "3 or more children": 4}, "example": {"title": "Simple Hot Chocolate", "ingredients": ["2 cups milk", "2 tablespoons unsweetened cocoa powder", "2 tablespoons sugar", "1/4 teaspoon vanilla extract", "A pinch of salt"], "num_ingredients": 5, "instructions": "In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk gradually, stirring constantly. Heat the mixture over medium heat, continuing to stir until it is hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and serve hot."}, "how_feeling": "Good", "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-AtCEoMy6r9nbFilQu8uK4jUEth6k4", "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": 1737718446, "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-AtCEwPsCqaeKSHzCVqxlMnZQipCv7", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provided the name \"Moby Dick\" and the profession as \"Truck Driver.\" The mention of a PhD in astrology was noted, but the current profession is specified as a truck driver.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718454, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 56, "prompt_tokens": 95, "total_tokens": 151, "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": 0.0007974999999999999, "extract_name_one_usd_buys": 1253.9184952978057, "how_are_you_raw_model_response": {"id": "chatcmpl-AtCErlcbIomXZJIIeHiM6CWKj0jYB", "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 and ready to help you with anything you need. How can I assist you today?", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718449, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 38, "prompt_tokens": 11, "total_tokens": 49, "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": 0.00040750000000000004, "how_are_you_one_usd_buys": 2453.9877300613493, "list_of_foods_raw_model_response": {"id": "chatcmpl-AtCEvXoD4BfCGCuaVSM27cf97ZosY", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and often mentioned for their flavors and versatility.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718453, "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-AtCEvUfvAbMClYIoHUWFNVzgdoV5d", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{\"0\": 3, \"1\": 4, \"2\": 5, \"3\": 4}\n\nHaving no children might feel neutral, as it allows for personal freedom and flexibility. One child could bring joy and fulfillment, while two children might offer a balanced family dynamic, which could be extremely satisfying. Having three or more children could also be very rewarding, but it might come with increased responsibilities and challenges, hence slightly less than the maximum happiness rating.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718453, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 95, "prompt_tokens": 142, "total_tokens": 237, "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": 0.001305, "child_happiness_one_usd_buys": 766.2835249042146, "example_raw_model_response": {"id": "chatcmpl-AtCEttaYG9t46M37OSDcYWTggyhFA", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "```python\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 \"A pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk gradually, stirring constantly. Heat the mixture over medium heat, continuing to stir until it is hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n\n# This dictionary provides a simple hot chocolate recipe with a title, a list of ingredients, the number of ingredients, and step-by-step instructions for making the hot chocolate.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718451, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 168, "prompt_tokens": 166, "total_tokens": 334, "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": 0.002095, "example_one_usd_buys": 477.326968973747, "how_feeling_raw_model_response": {"id": "chatcmpl-AtCEs47MkFBOzb5vgCP3FtG2MGAWo", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Good", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718450, "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-AtCEq7Jxcv8mdmY1BcKGQ5ahwHdUK", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "45", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718448, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "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-AtCEszzkEOlWwzf4eyECb6W0SCqEj", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[30,20,30,20] \nI allocated more to pizza and burgers because they tend to be more filling and satisfying for a meal, while ice cream and salad are more complementary or lighter options.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718450, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 43, "prompt_tokens": 125, "total_tokens": 168, "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}}}, "food_budget_cost": 0.0007425, "food_budget_one_usd_buys": 1346.8013468013469, "rank_foods_raw_model_response": {"id": "chatcmpl-AtCEtp9FLMU331S49S1vqTfb9DREc", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "['Pizza', 'Pasta'] \nPizza is a classic favorite for its versatility and flavor, while pasta offers a comforting and satisfying meal with endless variations.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718451, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 32, "prompt_tokens": 87, "total_tokens": 119, "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}}}, "rank_foods_cost": 0.0005375, "rank_foods_one_usd_buys": 1860.4651162790697, "happy_raining_raw_model_response": {"id": "chatcmpl-AtCEpsCxOSZ7T04UkotJQ3vpvV9eE", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Neutral\n\nThis phrase could be interpreted in various ways, and without more context, it's difficult to strongly agree or disagree. It might be a metaphorical expression of finding comfort in sadness, or it could be taken literally, depending on personal experiences and interpretations.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718447, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_936db42f35", "usage": {"completion_tokens": 52, "prompt_tokens": 71, "total_tokens": 123, "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}}}, "happy_raining_cost": 0.0006975, "happy_raining_one_usd_buys": 1433.6917562724016, "ice_cream_raw_model_response": null, "ice_cream_cost": null, "ice_cream_one_usd_buys": "NA", "is_it_equal_raw_model_response": {"id": "chatcmpl-AtCEqwW0uii0Y8E0qHsUwNS7Ycfme", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "No\n\n5 + 5 equals 10, not 11.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718448, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 15, "prompt_tokens": 53, "total_tokens": 68, "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}}}, "is_it_equal_cost": 0.0002825, "is_it_equal_one_usd_buys": 3539.823008849558, "two_fruits_raw_model_response": {"id": "chatcmpl-AtCEuhaXxKBzlbii2utfBl3fsEclw", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "```json\n{\n \"answer\": [0, 1],\n \"comment\": \"I selected apple and banana because they are both popular fruits that are widely enjoyed for their taste and nutritional benefits. Carrot is a vegetable, not a fruit, and durian has a strong smell that not everyone likes.\"\n}\n```", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718452, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 66, "prompt_tokens": 75, "total_tokens": 141, "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": 0.0008475, "two_fruits_one_usd_buys": 1179.9410029498526}, "question_to_attributes": {"never_eat": {"question_text": "Which of the following foods would you eat if you had to?", "question_type": "checkbox", "question_options": ["soggy meatpie", "rare snails", "mouldy bread", "panda milk custard", "McDonalds"]}, "extract_name": {"question_text": "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", "question_type": "extract", "question_options": null}, "how_are_you": {"question_text": "How are you?", "question_type": "free_text", "question_options": null}, "list_of_foods": {"question_text": "What are your favorite foods?", "question_type": "list", "question_options": null}, "child_happiness": {"question_text": "How happy would you be with different numbers of children?", "question_type": "matrix", "question_options": [1, 2, 3, 4, 5]}, "example": {"question_text": "Please provide a simple recipe for hot chocolate.", "question_type": "dict", "question_options": null}, "how_feeling": {"question_text": "How are you?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Bad"]}, "age": {"question_text": "You are a 45 year old man. How old are you in years?", "question_type": "numerical", "question_options": null}, "food_budget": {"question_text": "How would you allocate $100?", "question_type": "budget", "question_options": ["Pizza", "Ice Cream", "Burgers", "Salad"]}, "rank_foods": {"question_text": "Rank your favorite foods.", "question_type": "rank", "question_options": ["Pizza", "Pasta", "Salad", "Soup"]}, "happy_raining": {"question_text": "I'm only happy when it rains.", "question_type": "likert_five", "question_options": ["Strongly disagree", "Disagree", "Neutral", "Agree", "Strongly agree"]}, "ice_cream": {"question_text": "How much do you like ice cream?", "question_type": "linear_scale", "question_options": [1, 2, 3, 4, 5]}, "is_it_equal": {"question_text": "Is 5 + 5 equal to 11?", "question_type": "yes_no", "question_options": ["No", "Yes"]}, "two_fruits": {"question_text": "Which of the following fruits do you prefer?", "question_type": "top_k", "question_options": ["apple", "banana", "carrot", "durian"]}}, "generated_tokens": {"never_eat_generated_tokens": "[3, 4]", "extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provided the name \"Moby Dick\" and the profession as \"Truck Driver.\" The mention of a PhD in astrology was noted, but the current profession is specified as a truck driver.", "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 and ready to help you with anything you need. How can I assist you today?", "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and often mentioned for their flavors and versatility.", "child_happiness_generated_tokens": "{\"0\": 3, \"1\": 4, \"2\": 5, \"3\": 4}\n\nHaving no children might feel neutral, as it allows for personal freedom and flexibility. One child could bring joy and fulfillment, while two children might offer a balanced family dynamic, which could be extremely satisfying. Having three or more children could also be very rewarding, but it might come with increased responsibilities and challenges, hence slightly less than the maximum happiness rating.", "example_generated_tokens": "```python\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 \"A pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk gradually, stirring constantly. Heat the mixture over medium heat, continuing to stir until it is hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n\n# This dictionary provides a simple hot chocolate recipe with a title, a list of ingredients, the number of ingredients, and step-by-step instructions for making the hot chocolate.", "how_feeling_generated_tokens": "Good", "age_generated_tokens": "45", "food_budget_generated_tokens": "[30,20,30,20] \nI allocated more to pizza and burgers because they tend to be more filling and satisfying for a meal, while ice cream and salad are more complementary or lighter options.", "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza is a classic favorite for its versatility and flavor, while pasta offers a comforting and satisfying meal with endless variations.", "happy_raining_generated_tokens": "Neutral\n\nThis phrase could be interpreted in various ways, and without more context, it's difficult to strongly agree or disagree. It might be a metaphorical expression of finding comfort in sadness, or it could be taken literally, depending on personal experiences and interpretations.", "ice_cream_generated_tokens": null, "is_it_equal_generated_tokens": "No\n\n5 + 5 equals 10, not 11.", "two_fruits_generated_tokens": "```json\n{\n \"answer\": [0, 1],\n \"comment\": \"I selected apple and banana because they are both popular fruits that are widely enjoyed for their taste and nutritional benefits. Carrot is a vegetable, not a fruit, and durian has a strong smell that not everyone likes.\"\n}\n```"}, "comments_dict": {"never_eat_comment": null, "extract_name_comment": "The input provided the name \"Moby Dick\" and the profession as \"Truck Driver.\" The mention of a PhD in astrology was noted, but the current profession is specified as a truck driver.", "how_are_you_comment": "", "list_of_foods_comment": "These foods are popular and often mentioned for their flavors and versatility.", "child_happiness_comment": "Having no children might feel neutral, as it allows for personal freedom and flexibility. One child could bring joy and fulfillment, while two children might offer a balanced family dynamic, which could be extremely satisfying. Having three or more children could also be very rewarding, but it might come with increased responsibilities and challenges, hence slightly less than the maximum happiness rating.", "example_comment": "# This dictionary provides a simple hot chocolate recipe with a title, a list of ingredients, the number of ingredients, and step-by-step instructions for making the hot chocolate.", "how_feeling_comment": null, "age_comment": null, "food_budget_comment": "I allocated more to pizza and burgers because they tend to be more filling and satisfying for a meal, while ice cream and salad are more complementary or lighter options.", "rank_foods_comment": "Pizza is a classic favorite for its versatility and flavor, while pasta offers a comforting and satisfying meal with endless variations.", "happy_raining_comment": "This phrase could be interpreted in various ways, and without more context, it's difficult to strongly agree or disagree. It might be a metaphorical expression of finding comfort in sadness, or it could be taken literally, depending on personal experiences and interpretations.", "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, "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"}, "indices": {"agent": 0, "model": 0, "scenario": 0}}], "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", "answer_template": {"name": "John Doe", "profession": "Carpenter"}, "question_type": "extract", "edsl_version": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "list_of_foods", "question_text": "What are your favorite foods?", "question_type": "list", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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...eference for ice cream.\", 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...eference for ice cream.\", 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 165, 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...eference for ice cream.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n"}, "time": "2025-01-24T11:34:08.288994", "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...eference for ice cream.\", 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 165, 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...eference for ice cream.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n", "invigilator": {"agent": {"traits": {}, "edsl_version": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, "scenario": {"edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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": {"never_eat_generated_tokens": "[3, 4]", "never_eat": ["panda milk custard", "McDonalds"], "happy_raining_generated_tokens": "Neutral\n\nThis phrase could be interpreted in various ways, and without more context, it's difficult to strongly agree or disagree. It might be a metaphorical expression of finding comfort in sadness, or it could be taken literally, depending on personal experiences and interpretations.", "happy_raining": "Neutral", "happy_raining_comment": "This phrase could be interpreted in various ways, and without more context, it's difficult to strongly agree or disagree. It might be a metaphorical expression of finding comfort in sadness, or it could be taken literally, depending on personal experiences and interpretations.", "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.", "age_generated_tokens": "45", "age": 45, "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 and ready to help you with anything you need. 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 and ready to help you with anything you need. How can I assist you today?", "how_feeling_generated_tokens": "Good", "how_feeling": "Good", "food_budget_generated_tokens": "[30,20,30,20] \nI allocated more to pizza and burgers because they tend to be more filling and satisfying for a meal, while ice cream and salad are more complementary or lighter options.", "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 because they tend to be more filling and satisfying for a meal, while ice cream and salad are more complementary or lighter options.", "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza is a classic favorite for its versatility and flavor, while pasta offers a comforting and satisfying meal with endless variations.", "rank_foods": ["Pizza", "Pasta"], "rank_foods_comment": "Pizza is a classic favorite for its versatility and flavor, while pasta offers a comforting and satisfying meal with endless variations.", "example_generated_tokens": "```python\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 \"A pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk gradually, stirring constantly. Heat the mixture over medium heat, continuing to stir until it is hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n\n# This dictionary provides a simple hot chocolate recipe with a title, a list of ingredients, the number of ingredients, and step-by-step instructions for making the hot chocolate.", "example": {"title": "Simple Hot Chocolate", "ingredients": ["2 cups milk", "2 tablespoons unsweetened cocoa powder", "2 tablespoons sugar", "1/4 teaspoon vanilla extract", "A pinch of salt"], "num_ingredients": 5, "instructions": "In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk gradually, stirring constantly. Heat the mixture over medium heat, continuing to stir until it is hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and serve hot."}, "example_comment": "# This dictionary provides a simple hot chocolate recipe with a title, a list of ingredients, the number of ingredients, and step-by-step instructions for making the hot chocolate.", "two_fruits_generated_tokens": "```json\n{\n \"answer\": [0, 1],\n \"comment\": \"I selected apple and banana because they are both popular fruits that are widely enjoyed for their taste and nutritional benefits. Carrot is a vegetable, not a fruit, and durian has a strong smell that not everyone likes.\"\n}\n```", "two_fruits": ["apple", "banana"], "two_fruits_comment": "```", "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and often mentioned for their flavors and versatility.", "list_of_foods": ["Pizza", "Sushi", "Chocolate"], "list_of_foods_comment": "These foods are popular and often mentioned for their flavors and versatility.", "child_happiness_generated_tokens": "{\"0\": 3, \"1\": 4, \"2\": 5, \"3\": 4}\n\nHaving no children might feel neutral, as it allows for personal freedom and flexibility. One child could bring joy and fulfillment, while two children might offer a balanced family dynamic, which could be extremely satisfying. Having three or more children could also be very rewarding, but it might come with increased responsibilities and challenges, hence slightly less than the maximum happiness rating.", "child_happiness": {"No children": 3, "1 child": 4, "2 children": 5, "3 or more children": 4}, "child_happiness_comment": "Having no children might feel neutral, as it allows for personal freedom and flexibility. One child could bring joy and fulfillment, while two children might offer a balanced family dynamic, which could be extremely satisfying. Having three or more children could also be very rewarding, but it might come with increased responsibilities and challenges, hence slightly less than the maximum happiness rating.", "extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provided the name \"Moby Dick\" and the profession as \"Truck Driver.\" The mention of a PhD in astrology was noted, but the current profession is specified as a truck driver.", "extract_name": {"name": "Moby Dick", "profession": "Truck Driver"}, "extract_name_comment": "The input provided the name \"Moby Dick\" and the profession as \"Truck Driver.\" The mention of a PhD in astrology was noted, but the current profession is specified as a truck driver.", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "list_of_foods", "question_text": "What are your favorite foods?", "question_type": "list", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}}}]}, "indices": {"agent": 0, "model": 0, "scenario": 0}}], "include_traceback": false, "edsl_version": "0.1.42", "edsl_class_name": "TaskHistory"}}}, {"class_name": "Results", "dict": {"data": [{"agent": {"traits": {}}, "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}, "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}, "inference_service": "openai"}, "iteration": 0, "answer": {"q_extract": {"main_characters_list": ["Homer", "Marge", "Bart", "Lisa", "Maggie"], "location": "Springfield", "genre": "animated sitcom"}, "concepts": ["Keynote address", "U.S. Holocaust Memorial Museum", "Annual Days of Remembrance", "Washington, D.C."], "sentiment": "Neutral"}, "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: 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.\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: 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.\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-AtCExmCA2kxW3qQXSEHonVDKkYSmp", "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 of the show, and its genre, which allows for the extraction of the required values.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718455, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 70, "prompt_tokens": 251, "total_tokens": 321, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, 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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": {"color": {"question_text": "What is your favorite color?", "question_type": "multiple_choice", "question_options": ["Red", "Orange", "Yellow", "Green", "Blue", "Purple"]}, "day": {"question_text": "What is your favorite day of the week?", "question_type": "multiple_choice", "question_options": ["Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"]}, "winter": {"question_text": "How much do you enjoy winter?", "question_type": "linear_scale", "question_options": [0, 1, 2, 3, 4, 5]}, "birds": {"question_text": "Which birds do you like best?", "question_type": "top_k", "question_options": ["Parrot", "Osprey", "Falcon", "Eagle", "First Robin of Spring"]}}, "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}, "cache_keys": {"color": null, "day": null, "winter": null, "birds": null}, "indices": {"agent": 0, "model": 0, "scenario": 0}}], "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}, "question_groups": {}}, "created_columns": [], "cache": {}}}] \ No newline at end of file diff --git a/tests/serialization/data/0.1.43.json b/tests/serialization/data/0.1.43.json new file mode 100644 index 00000000..41ebbfd9 --- /dev/null +++ b/tests/serialization/data/0.1.43.json @@ -0,0 +1 @@ +[{"class_name": "Study", "dict": {"name": "example_study", "description": null, "objects": {"1144312636257752766": {"created_at": 1737718434.7471678, "variable_name": "q", "object": {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.42", "edsl_class_name": "QuestionBase"}, "edsl_class_name": "QuestionFreeText", "description": "Question name: how_are_you", "coop_info": null}}, "filename": "example_study", "cache": {"edsl_version": "0.1.42", "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": "0.1.42", "edsl_class_name": "Scenario"}}, {"class_name": "FileStore", "dict": {"path": "/tmp/tmpbjv1ayi_.txt", "base64_string": "SGVsbG8sIFdvcmxkIQ==", "binary": false, "suffix": "txt", "mime_type": "text/plain", "external_locations": {}, "extracted_text": "Hello, World!", "edsl_version": "0.1.42", "edsl_class_name": "Scenario"}}, {"class_name": "CSVFileStore", "dict": {"path": "/tmp/tmpmodzti_z.csv", "base64_string": 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are answering questions as if you were a human. Do not break character.,Joyful,Agent_0,gpt-4o,3,0,1000,1,0.5,0,False,0,openai,NA,NA,NA,NA,,,Not Applicable,Not Applicable,NA,NA,0,How are you this {{ period }}?,How were you feeling yesterday {{ period }}?,\"['Good', 'Great', 'OK', 'Terrible']\",\"['Good', 'Great', 'OK', 'Terrible']\",multiple_choice,multiple_choice,This is a real survey response from a human.,This is a real survey response from a human.,Not Applicable,Not Applicable,Not Applicable,Not Applicable,Not Applicable,Not Applicable\nGood,Great,afternoon,1,0,You are answering questions as if you were a human. Do not break character.,Joyful,Agent_0,gpt-4o,3,0,1000,1,0.5,0,False,0,openai,NA,NA,NA,NA,,,Not Applicable,Not Applicable,NA,NA,0,How are you this {{ period }}?,How were you feeling yesterday {{ period }}?,\"['Good', 'Great', 'OK', 'Terrible']\",\"['Good', 'Great', 'OK', 'Terrible']\",multiple_choice,multiple_choice,This is a real survey response from a human.,This is a real survey response from a human.,Not Applicable,Not Applicable,Not Applicable,Not Applicable,Not Applicable,Not Applicable\nOK,Terrible,morning,0,1,You are answering questions as if you were a human. Do not break character.,Sad,Agent_1,gpt-4o,3,0,1000,1,0.5,0,False,0,openai,NA,NA,NA,NA,,,Not Applicable,Not Applicable,NA,NA,0,How are you this {{ period }}?,How were you feeling yesterday {{ period }}?,\"['Good', 'Great', 'OK', 'Terrible']\",\"['Good', 'Great', 'OK', 'Terrible']\",multiple_choice,multiple_choice,This is a real survey response from a human.,This is a real survey response from a human.,Not Applicable,Not Applicable,Not Applicable,Not Applicable,Not Applicable,Not Applicable\nTerrible,OK,afternoon,1,1,You are answering questions as if you were a human. 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{"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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}}, {"class_name": "QuestionFreeText", "dict": {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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}, "inference_service": "openai"}, "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": {"q0": {"question_text": "Do you like school?", "question_type": "multiple_choice", "question_options": ["yes", "no"]}, "q1": {"question_text": "Why not?", "question_type": "multiple_choice", "question_options": ["killer bees in cafeteria", "other"]}, "q2": {"question_text": "Why?", "question_type": "multiple_choice", "question_options": ["**lack*** of killer bees in cafeteria", "other"]}}, "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}, "indices": {"agent": 0, "model": 0, "scenario": 0}}, {"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}, "inference_service": "openai"}, "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-AtCEmELgimvqHlxIgwyPu1lNQrQID", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\nThe lack of killer bees in a cafeteria is not a typical scenario or concern, making \"other\" a more appropriate choice.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718444, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 28, "prompt_tokens": 100, "total_tokens": 128, "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": 0.00053, "q2_one_usd_buys": 1886.7924528301887}, "question_to_attributes": {"q0": {"question_text": "Do you like school?", "question_type": "multiple_choice", "question_options": ["yes", "no"]}, "q1": {"question_text": "Why not?", "question_type": "multiple_choice", "question_options": ["killer bees in cafeteria", "other"]}, "q2": {"question_text": "Why?", "question_type": "multiple_choice", "question_options": ["**lack*** of killer bees in cafeteria", "other"]}}, "generated_tokens": {"q0_generated_tokens": null, "q1_generated_tokens": null, "q2_generated_tokens": "other\nThe lack of killer bees in a cafeteria is not a typical scenario or concern, making \"other\" a more appropriate choice."}, "comments_dict": {"q0_comment": "Task was cancelled.", "q1_comment": "Task was cancelled.", "q2_comment": "The lack of killer bees in a cafeteria is not a typical scenario or concern, making \"other\" a more appropriate choice."}, "cache_used_dict": {"q0": null, "q1": null, "q2": false}, "cache_keys": {"q0": null, "q1": null, "q2": "12e0a72c9660a93ec1dd54f5b0f4afd6"}, "indices": {"agent": 0, "model": 1, "scenario": 0}}, {"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}, "inference_service": "openai"}, "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-AtCEmD885xGoNE0sXydUahcYwzgu8", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "no\nI prefer hands-on learning and practical experience in the kitchen over traditional schooling.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718444, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 18, "prompt_tokens": 96, "total_tokens": 114, "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": 0.000395999208001584, "q0_one_usd_buys": 2525.2575757575755, "q1_raw_model_response": {"id": "chatcmpl-AtCEnC7iOWeWTmork7hUvnctDq48K", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\n# I chose \"other\" because as a chef, my expertise lies in cooking and food-related matters, not in dealing with killer bees.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718445, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 31, "prompt_tokens": 97, "total_tokens": 128, "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": 0.000476999046001908, "q1_one_usd_buys": 2096.4402515723273, "q2_raw_model_response": {"id": "chatcmpl-AtCEo6w5BsvlAUzZWuM2xy7ehOeVs", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "other\nI chose \"other\" because I am a chef and the presence or absence of killer bees in the cafeteria is not relevant to my role.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718446, "model": "gpt-3.5-turbo-0125", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": {"completion_tokens": 31, "prompt_tokens": 101, "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}}}, "q2_cost": 0.000488999022001956, "q2_one_usd_buys": 2044.993865030675}, "question_to_attributes": {"q0": {"question_text": "Do you like school?", "question_type": "multiple_choice", "question_options": ["yes", "no"]}, "q1": {"question_text": "Why not?", "question_type": "multiple_choice", "question_options": ["killer bees in cafeteria", "other"]}, "q2": {"question_text": "Why?", "question_type": "multiple_choice", "question_options": ["**lack*** of killer bees in cafeteria", "other"]}}, "generated_tokens": {"q0_generated_tokens": "no\nI prefer hands-on learning and practical experience in the kitchen over traditional schooling.", "q1_generated_tokens": "other\n# I chose \"other\" because as a chef, my expertise lies in cooking and food-related matters, not in dealing with killer bees.", "q2_generated_tokens": "other\nI chose \"other\" because I am a chef and the presence or absence of killer bees in the cafeteria is not relevant to my role."}, "comments_dict": {"q0_comment": "I prefer hands-on learning and practical experience in the kitchen over traditional schooling.", "q1_comment": "# I chose \"other\" because as a chef, my expertise lies in cooking and food-related matters, not in dealing with killer bees.", "q2_comment": "I chose \"other\" because I am a chef and the presence or absence of killer bees in the cafeteria is not relevant to my role."}, "cache_used_dict": {"q0": false, "q1": false, "q2": false}, "cache_keys": {"q0": "21e756db3aaa193c16cfd8c6d6d8062f", "q1": "972cb8d998b4c5619ba393aa1a903c55", "q2": "9caa189087733075d64bebf97fd6ce63"}, "indices": {"agent": 1, "model": 0, "scenario": 0}}, {"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}, "inference_service": "openai"}, "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. 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Cafeterias typically don't have killer bees, so \"other\" is the logical choice.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718443, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 31, "prompt_tokens": 100, "total_tokens": 131, "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": 0.00056, "q2_one_usd_buys": 1785.7142857142858}, "question_to_attributes": {"q0": {"question_text": "Do you like school?", "question_type": "multiple_choice", "question_options": ["yes", "no"]}, "q1": {"question_text": "Why not?", "question_type": "multiple_choice", "question_options": ["killer bees in cafeteria", "other"]}, "q2": {"question_text": "Why?", "question_type": "multiple_choice", "question_options": ["**lack*** of killer bees in cafeteria", "other"]}}, "generated_tokens": {"q0_generated_tokens": null, "q1_generated_tokens": null, "q2_generated_tokens": "other\nThe question seems to be about an unusual scenario. Cafeterias typically don't have killer bees, so \"other\" is the logical choice."}, "comments_dict": {"q0_comment": "Task was cancelled.", "q1_comment": "Task was cancelled.", "q2_comment": "The question seems to be about an unusual scenario. Cafeterias typically don't have killer bees, so \"other\" is the logical choice."}, "cache_used_dict": {"q0": null, "q1": null, "q2": false}, "cache_keys": {"q0": null, "q1": null, "q2": "f7d94c309f5ec87ec4a9503960c6e43c"}, "indices": {"agent": 1, "model": 1, "scenario": 0}}], "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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 165, 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": "2025-01-24T11:34:03.983650", "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 165, 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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, "scenario": {"edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "edsl_class_name": "LanguageModel"}, "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like 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"edsl_version": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}}}]}, "indices": {"agent": 0, "model": 0, "scenario": 0}}, {"agent": {"traits": {"persona": "You are a scientist", "age": 20}, "edsl_version": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}, "scenario": {"scenario_index": 0, "edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.42", "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": "0.1.42", "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, 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"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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "q1", "question_text": "Why not?", "question_options": ["killer bees in cafeteria", "other"], "question_type": "multiple_choice", "edsl_version": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}], "memory_plan": {"survey_question_names": ["q0", "q1", "q2"], "survey_question_texts": ["Do you like 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"top_logprobs": 3}, "inference_service": "openai", "edsl_version": "0.1.42", "edsl_class_name": "LanguageModel"}, "iteration": 0, "exceptions": {}, "indices": {"agent": 1, "model": 1, "scenario": 0}}], "include_traceback": false, "edsl_version": "0.1.42", "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}, "inference_service": "openai"}, "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 and ready to help you with anything you need. How can I assist you today?", "list_of_foods": ["Pizza", "Sushi", "Chocolate"], "child_happiness": {"No children": 3, "1 child": 4, "2 children": 5, "3 or more children": 4}, "example": {"title": "Simple Hot Chocolate", "ingredients": ["2 cups milk", "2 tablespoons unsweetened cocoa powder", "2 tablespoons sugar", "1/4 teaspoon vanilla extract", "A pinch of salt"], "num_ingredients": 5, "instructions": "In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk gradually, stirring constantly. Heat the mixture over medium heat, continuing to stir until it is hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and serve hot."}, "how_feeling": "Good", "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-AtCEoMy6r9nbFilQu8uK4jUEth6k4", "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": 1737718446, "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-AtCEwPsCqaeKSHzCVqxlMnZQipCv7", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provided the name \"Moby Dick\" and the profession as \"Truck Driver.\" The mention of a PhD in astrology was noted, but the current profession is specified as a truck driver.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718454, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 56, "prompt_tokens": 95, "total_tokens": 151, "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": 0.0007974999999999999, "extract_name_one_usd_buys": 1253.9184952978057, "how_are_you_raw_model_response": {"id": "chatcmpl-AtCErlcbIomXZJIIeHiM6CWKj0jYB", "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 and ready to help you with anything you need. How can I assist you today?", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718449, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 38, "prompt_tokens": 11, "total_tokens": 49, "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": 0.00040750000000000004, "how_are_you_one_usd_buys": 2453.9877300613493, "list_of_foods_raw_model_response": {"id": "chatcmpl-AtCEvXoD4BfCGCuaVSM27cf97ZosY", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and often mentioned for their flavors and versatility.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718453, "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-AtCEvUfvAbMClYIoHUWFNVzgdoV5d", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "{\"0\": 3, \"1\": 4, \"2\": 5, \"3\": 4}\n\nHaving no children might feel neutral, as it allows for personal freedom and flexibility. One child could bring joy and fulfillment, while two children might offer a balanced family dynamic, which could be extremely satisfying. Having three or more children could also be very rewarding, but it might come with increased responsibilities and challenges, hence slightly less than the maximum happiness rating.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718453, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 95, "prompt_tokens": 142, "total_tokens": 237, "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": 0.001305, "child_happiness_one_usd_buys": 766.2835249042146, "example_raw_model_response": {"id": "chatcmpl-AtCEttaYG9t46M37OSDcYWTggyhFA", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "```python\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 \"A pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk gradually, stirring constantly. Heat the mixture over medium heat, continuing to stir until it is hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n\n# This dictionary provides a simple hot chocolate recipe with a title, a list of ingredients, the number of ingredients, and step-by-step instructions for making the hot chocolate.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718451, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 168, "prompt_tokens": 166, "total_tokens": 334, "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": 0.002095, "example_one_usd_buys": 477.326968973747, "how_feeling_raw_model_response": {"id": "chatcmpl-AtCEs47MkFBOzb5vgCP3FtG2MGAWo", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Good", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718450, "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-AtCEq7Jxcv8mdmY1BcKGQ5ahwHdUK", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "45", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718448, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "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-AtCEszzkEOlWwzf4eyECb6W0SCqEj", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "[30,20,30,20] \nI allocated more to pizza and burgers because they tend to be more filling and satisfying for a meal, while ice cream and salad are more complementary or lighter options.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718450, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 43, "prompt_tokens": 125, "total_tokens": 168, "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}}}, "food_budget_cost": 0.0007425, "food_budget_one_usd_buys": 1346.8013468013469, "rank_foods_raw_model_response": {"id": "chatcmpl-AtCEtp9FLMU331S49S1vqTfb9DREc", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "['Pizza', 'Pasta'] \nPizza is a classic favorite for its versatility and flavor, while pasta offers a comforting and satisfying meal with endless variations.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718451, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_50cad350e4", "usage": {"completion_tokens": 32, "prompt_tokens": 87, "total_tokens": 119, "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}}}, "rank_foods_cost": 0.0005375, "rank_foods_one_usd_buys": 1860.4651162790697, "happy_raining_raw_model_response": {"id": "chatcmpl-AtCEpsCxOSZ7T04UkotJQ3vpvV9eE", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "Neutral\n\nThis phrase could be interpreted in various ways, and without more context, it's difficult to strongly agree or disagree. It might be a metaphorical expression of finding comfort in sadness, or it could be taken literally, depending on personal experiences and interpretations.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718447, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_936db42f35", "usage": {"completion_tokens": 52, "prompt_tokens": 71, "total_tokens": 123, "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}}}, "happy_raining_cost": 0.0006975, "happy_raining_one_usd_buys": 1433.6917562724016, "ice_cream_raw_model_response": null, "ice_cream_cost": null, "ice_cream_one_usd_buys": "NA", "is_it_equal_raw_model_response": {"id": "chatcmpl-AtCEqwW0uii0Y8E0qHsUwNS7Ycfme", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "No\n\n5 + 5 equals 10, not 11.", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718448, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 15, "prompt_tokens": 53, "total_tokens": 68, "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}}}, "is_it_equal_cost": 0.0002825, "is_it_equal_one_usd_buys": 3539.823008849558, "two_fruits_raw_model_response": {"id": "chatcmpl-AtCEuhaXxKBzlbii2utfBl3fsEclw", "choices": [{"finish_reason": "stop", "index": 0, "logprobs": null, "message": {"content": "```json\n{\n \"answer\": [0, 1],\n \"comment\": \"I selected apple and banana because they are both popular fruits that are widely enjoyed for their taste and nutritional benefits. Carrot is a vegetable, not a fruit, and durian has a strong smell that not everyone likes.\"\n}\n```", "refusal": null, "role": "assistant", "audio": null, "function_call": null, "tool_calls": null}}], "created": 1737718452, "model": "gpt-4o-2024-08-06", "object": "chat.completion", "service_tier": "default", "system_fingerprint": "fp_4691090a87", "usage": {"completion_tokens": 66, "prompt_tokens": 75, "total_tokens": 141, "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": 0.0008475, "two_fruits_one_usd_buys": 1179.9410029498526}, "question_to_attributes": {"never_eat": {"question_text": "Which of the following foods would you eat if you had to?", "question_type": "checkbox", "question_options": ["soggy meatpie", "rare snails", "mouldy bread", "panda milk custard", "McDonalds"]}, "extract_name": {"question_text": "My name is Moby Dick. I have a PhD in astrology, but I'm actually a truck driver", "question_type": "extract", "question_options": null}, "how_are_you": {"question_text": "How are you?", "question_type": "free_text", "question_options": null}, "list_of_foods": {"question_text": "What are your favorite foods?", "question_type": "list", "question_options": null}, "child_happiness": {"question_text": "How happy would you be with different numbers of children?", "question_type": "matrix", "question_options": [1, 2, 3, 4, 5]}, "example": {"question_text": "Please provide a simple recipe for hot chocolate.", "question_type": "dict", "question_options": null}, "how_feeling": {"question_text": "How are you?", "question_type": "multiple_choice", "question_options": ["Good", "Great", "OK", "Bad"]}, "age": {"question_text": "You are a 45 year old man. How old are you in years?", "question_type": "numerical", "question_options": null}, "food_budget": {"question_text": "How would you allocate $100?", "question_type": "budget", "question_options": ["Pizza", "Ice Cream", "Burgers", "Salad"]}, "rank_foods": {"question_text": "Rank your favorite foods.", "question_type": "rank", "question_options": ["Pizza", "Pasta", "Salad", "Soup"]}, "happy_raining": {"question_text": "I'm only happy when it rains.", "question_type": "likert_five", "question_options": ["Strongly disagree", "Disagree", "Neutral", "Agree", "Strongly agree"]}, "ice_cream": {"question_text": "How much do you like ice cream?", "question_type": "linear_scale", "question_options": [1, 2, 3, 4, 5]}, "is_it_equal": {"question_text": "Is 5 + 5 equal to 11?", "question_type": "yes_no", "question_options": ["No", "Yes"]}, "two_fruits": {"question_text": "Which of the following fruits do you prefer?", "question_type": "top_k", "question_options": ["apple", "banana", "carrot", "durian"]}}, "generated_tokens": {"never_eat_generated_tokens": "[3, 4]", "extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provided the name \"Moby Dick\" and the profession as \"Truck Driver.\" The mention of a PhD in astrology was noted, but the current profession is specified as a truck driver.", "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 and ready to help you with anything you need. How can I assist you today?", "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and often mentioned for their flavors and versatility.", "child_happiness_generated_tokens": "{\"0\": 3, \"1\": 4, \"2\": 5, \"3\": 4}\n\nHaving no children might feel neutral, as it allows for personal freedom and flexibility. One child could bring joy and fulfillment, while two children might offer a balanced family dynamic, which could be extremely satisfying. Having three or more children could also be very rewarding, but it might come with increased responsibilities and challenges, hence slightly less than the maximum happiness rating.", "example_generated_tokens": "```python\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 \"A pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk gradually, stirring constantly. Heat the mixture over medium heat, continuing to stir until it is hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n\n# This dictionary provides a simple hot chocolate recipe with a title, a list of ingredients, the number of ingredients, and step-by-step instructions for making the hot chocolate.", "how_feeling_generated_tokens": "Good", "age_generated_tokens": "45", "food_budget_generated_tokens": "[30,20,30,20] \nI allocated more to pizza and burgers because they tend to be more filling and satisfying for a meal, while ice cream and salad are more complementary or lighter options.", "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza is a classic favorite for its versatility and flavor, while pasta offers a comforting and satisfying meal with endless variations.", "happy_raining_generated_tokens": "Neutral\n\nThis phrase could be interpreted in various ways, and without more context, it's difficult to strongly agree or disagree. It might be a metaphorical expression of finding comfort in sadness, or it could be taken literally, depending on personal experiences and interpretations.", "ice_cream_generated_tokens": null, "is_it_equal_generated_tokens": "No\n\n5 + 5 equals 10, not 11.", "two_fruits_generated_tokens": "```json\n{\n \"answer\": [0, 1],\n \"comment\": \"I selected apple and banana because they are both popular fruits that are widely enjoyed for their taste and nutritional benefits. Carrot is a vegetable, not a fruit, and durian has a strong smell that not everyone likes.\"\n}\n```"}, "comments_dict": {"never_eat_comment": null, "extract_name_comment": "The input provided the name \"Moby Dick\" and the profession as \"Truck Driver.\" The mention of a PhD in astrology was noted, but the current profession is specified as a truck driver.", "how_are_you_comment": "", "list_of_foods_comment": "These foods are popular and often mentioned for their flavors and versatility.", "child_happiness_comment": "Having no children might feel neutral, as it allows for personal freedom and flexibility. One child could bring joy and fulfillment, while two children might offer a balanced family dynamic, which could be extremely satisfying. Having three or more children could also be very rewarding, but it might come with increased responsibilities and challenges, hence slightly less than the maximum happiness rating.", "example_comment": "# This dictionary provides a simple hot chocolate recipe with a title, a list of ingredients, the number of ingredients, and step-by-step instructions for making the hot chocolate.", "how_feeling_comment": null, "age_comment": null, "food_budget_comment": "I allocated more to pizza and burgers because they tend to be more filling and satisfying for a meal, while ice cream and salad are more complementary or lighter options.", "rank_foods_comment": "Pizza is a classic favorite for its versatility and flavor, while pasta offers a comforting and satisfying meal with endless variations.", "happy_raining_comment": "This phrase could be interpreted in various ways, and without more context, it's difficult to strongly agree or disagree. It might be a metaphorical expression of finding comfort in sadness, or it could be taken literally, depending on personal experiences and interpretations.", "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, "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"}, "indices": {"agent": 0, "model": 0, "scenario": 0}}], "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?", "min_value": 0, "max_value": 86.7, "include_comment": false, "question_type": "numerical"}, {"question_name": "food_budget", "question_text": "How would you allocate $100?", "question_options": ["Pizza", "Ice Cream", "Burgers", "Salad"], "budget_sum": 100, "question_type": "budget"}, {"question_name": "rank_foods", "question_text": "Rank your favorite foods.", "question_options": ["Pizza", "Pasta", "Salad", "Soup"], "num_selections": 2, "question_type": "rank"}, {"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"}, {"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"}, {"question_name": "is_it_equal", "question_text": "Is 5 + 5 equal to 11?", "question_options": ["No", "Yes"], "question_type": "yes_no"}, {"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"}], "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. 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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?", "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, 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"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}, "inference_service": "openai", "edsl_version": "0.1.42", "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...eference for ice cream.\", 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...eference for ice cream.\", 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 165, 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...eference for ice cream.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n"}, "time": "2025-01-24T11:34:08.288994", "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...eference for ice cream.\", 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 165, 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...eference for ice cream.\", input_type=str]\n For further information visit https://errors.pydantic.dev/2.10/v/literal_error\n", "invigilator": {"agent": {"traits": {}, "edsl_version": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, "scenario": {"edsl_version": "0.1.42", "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}, "inference_service": "openai", "edsl_version": "0.1.42", "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": {"never_eat_generated_tokens": "[3, 4]", "never_eat": ["panda milk custard", "McDonalds"], "happy_raining_generated_tokens": "Neutral\n\nThis phrase could be interpreted in various ways, and without more context, it's difficult to strongly agree or disagree. It might be a metaphorical expression of finding comfort in sadness, or it could be taken literally, depending on personal experiences and interpretations.", "happy_raining": "Neutral", "happy_raining_comment": "This phrase could be interpreted in various ways, and without more context, it's difficult to strongly agree or disagree. It might be a metaphorical expression of finding comfort in sadness, or it could be taken literally, depending on personal experiences and interpretations.", "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.", "age_generated_tokens": "45", "age": 45, "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 and ready to help you with anything you need. 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 and ready to help you with anything you need. How can I assist you today?", "how_feeling_generated_tokens": "Good", "how_feeling": "Good", "food_budget_generated_tokens": "[30,20,30,20] \nI allocated more to pizza and burgers because they tend to be more filling and satisfying for a meal, while ice cream and salad are more complementary or lighter options.", "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 because they tend to be more filling and satisfying for a meal, while ice cream and salad are more complementary or lighter options.", "rank_foods_generated_tokens": "['Pizza', 'Pasta'] \nPizza is a classic favorite for its versatility and flavor, while pasta offers a comforting and satisfying meal with endless variations.", "rank_foods": ["Pizza", "Pasta"], "rank_foods_comment": "Pizza is a classic favorite for its versatility and flavor, while pasta offers a comforting and satisfying meal with endless variations.", "example_generated_tokens": "```python\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 \"A pinch of salt\"\n ],\n \"num_ingredients\": 5,\n \"instructions\": \"In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk gradually, stirring constantly. Heat the mixture over medium heat, continuing to stir until it is hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and serve hot.\"\n}\n```\n\n# This dictionary provides a simple hot chocolate recipe with a title, a list of ingredients, the number of ingredients, and step-by-step instructions for making the hot chocolate.", "example": {"title": "Simple Hot Chocolate", "ingredients": ["2 cups milk", "2 tablespoons unsweetened cocoa powder", "2 tablespoons sugar", "1/4 teaspoon vanilla extract", "A pinch of salt"], "num_ingredients": 5, "instructions": "In a small saucepan, combine the cocoa powder, sugar, and salt. Add the milk gradually, stirring constantly. Heat the mixture over medium heat, continuing to stir until it is hot but not boiling. Remove from heat and stir in the vanilla extract. Pour into mugs and serve hot."}, "example_comment": "# This dictionary provides a simple hot chocolate recipe with a title, a list of ingredients, the number of ingredients, and step-by-step instructions for making the hot chocolate.", "two_fruits_generated_tokens": "```json\n{\n \"answer\": [0, 1],\n \"comment\": \"I selected apple and banana because they are both popular fruits that are widely enjoyed for their taste and nutritional benefits. Carrot is a vegetable, not a fruit, and durian has a strong smell that not everyone likes.\"\n}\n```", "two_fruits": ["apple", "banana"], "two_fruits_comment": "```", "list_of_foods_generated_tokens": "[\"Pizza\", \"Sushi\", \"Chocolate\"] \nThese foods are popular and often mentioned for their flavors and versatility.", "list_of_foods": ["Pizza", "Sushi", "Chocolate"], "list_of_foods_comment": "These foods are popular and often mentioned for their flavors and versatility.", "child_happiness_generated_tokens": "{\"0\": 3, \"1\": 4, \"2\": 5, \"3\": 4}\n\nHaving no children might feel neutral, as it allows for personal freedom and flexibility. One child could bring joy and fulfillment, while two children might offer a balanced family dynamic, which could be extremely satisfying. Having three or more children could also be very rewarding, but it might come with increased responsibilities and challenges, hence slightly less than the maximum happiness rating.", "child_happiness": {"No children": 3, "1 child": 4, "2 children": 5, "3 or more children": 4}, "child_happiness_comment": "Having no children might feel neutral, as it allows for personal freedom and flexibility. One child could bring joy and fulfillment, while two children might offer a balanced family dynamic, which could be extremely satisfying. Having three or more children could also be very rewarding, but it might come with increased responsibilities and challenges, hence slightly less than the maximum happiness rating.", "extract_name_generated_tokens": "{'name': 'Moby Dick', 'profession': 'Truck Driver'}\n\nThe input provided the name \"Moby Dick\" and the profession as \"Truck Driver.\" The mention of a PhD in astrology was noted, but the current profession is specified as a truck driver.", "extract_name": {"name": "Moby Dick", "profession": "Truck Driver"}, "extract_name_comment": "The input provided the name \"Moby Dick\" and the profession as \"Truck Driver.\" The mention of a PhD in astrology was noted, but the current profession is specified as a truck driver.", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "how_are_you", "question_text": "How are you?", "question_type": "free_text", "edsl_version": "0.1.42", "edsl_class_name": "QuestionBase"}, {"question_name": "list_of_foods", "question_text": "What are your favorite foods?", "question_type": "list", "edsl_version": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "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": "0.1.42", "edsl_class_name": "Survey"}}}]}, "indices": {"agent": 0, "model": 0, "scenario": 0}}], "include_traceback": false, "edsl_version": "0.1.42", "edsl_class_name": "TaskHistory"}}}, {"class_name": "Results", "dict": {"data": [{"agent": {"traits": {}}, "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}, "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}, "inference_service": "openai"}, "iteration": 0, "answer": {"q_extract": {"main_characters_list": ["Homer", "Marge", "Bart", "Lisa", "Maggie"], "location": "Springfield", "genre": "animated sitcom"}, "concepts": ["Keynote address", "U.S. Holocaust Memorial Museum", "Annual Days of Remembrance", "Washington, D.C."], "sentiment": "Neutral"}, "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: 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.\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: 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.\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 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