Intro to EDSL

This notebook provides example code for base components of EDSL, an open-source library for simulating surveys, experiments and other research with AI agents and large language models. Details on the code below are provided in accompanying slides: How to use EDSL.

Technical setup

Before running the code below, please ensure that you have installed the EDSL library and either activated remote inference from your Coop account or stored API keys for the language models that you want to use with EDSL.

Documentation

Please also see our documentation page for tips, tutorials and more demo notebooks on using EDSL.

Simple example

We start by selecting a question type and constructing a question in the relevant template:

from edsl import QuestionMultipleChoice

q = QuestionMultipleChoice(
    question_name = "marvel_movies",
    question_text = "Do you enjoy Marvel movies?",
    question_options = ["Yes", "No", "I do not know"]
)

We administer a question by calling the run() method. This generates a dataset of Results including the model’s response to the question:

results = q.run()

results.select("marvel_movies")

▼ Remote Job Log (2024-12-14 08:37:16)

Remote inference activated. Sending job to server...

Your survey is running at the Expected Parrot server...

Job sent to server. (Job uuid=d321721d-4e3a-42af-9bc2-9f492e5dcaaa).

Job details are available at your Coop account https://www.expectedparrot.com/home/remote-inferencehttps://www.expectedparrot.com/home/remote-inference

View job progress here: https://www.expectedparrot.com/home/remote-job-progress/d321721d-4e3a-42af-9bc2-9f492e5dcaaa

Job status: queued - last update: 2024-12-14 08:37:03 AM

Job status: running - last update: 2024-12-14 08:37:06 AM

Job status: running - last update: 2024-12-14 08:37:09 AM

Job status: running - last update: 2024-12-14 08:37:12 AM

Job completed and Results stored on Coop: https://www.expectedparrot.com/content/c08998e6-9d59-419b-aa49-9e268b80222d

answer.marvel_movies
I do not know

Designing AI agents

We can create personas for agents to answer the question:

from edsl import AgentList, Agent

personas = ["comic book collector", "movie critic"]

a = AgentList(
    Agent(traits = {"persona": p}) for p in personas
)

Selecting language models

We can select language models to generate the responses (in the example above we did not specify a model, so GPT 4 preview was used by default):

from edsl import ModelList, Model

models = ["gpt-4o", "claude-3-5-sonnet-20240620"]

m = ModelList(
    Model(m) for m in ["gpt-4o", "claude-3-5-sonnet-20240620"]
)

Generating results

We add agents and models to a question when running it:

results = q.by(a).by(m).run()

results.select("model", "persona", "marvel_movies")

▼ Remote Job Log (2024-12-14 08:39:59)

Remote inference activated. Sending job to server...

Your survey is running at the Expected Parrot server...

Job sent to server. (Job uuid=96b8fad4-e884-4370-8cf5-3ddc5ffa5f37).

Job details are available at your Coop account https://www.expectedparrot.com/home/remote-inferencehttps://www.expectedparrot.com/home/remote-inference

View job progress here: https://www.expectedparrot.com/home/remote-job-progress/96b8fad4-e884-4370-8cf5-3ddc5ffa5f37

Job status: queued - last update: 2024-12-14 08:39:43 AM

Job status: running - last update: 2024-12-14 08:39:46 AM

Job status: running - last update: 2024-12-14 08:39:50 AM

Job status: running - last update: 2024-12-14 08:39:53 AM

Job status: running - last update: 2024-12-14 08:39:56 AM

Job completed and Results stored on Coop: https://www.expectedparrot.com/content/f0537327-d3d0-4bb8-8756-59e3930bdcbc

model.model	agent.persona	answer.marvel_movies
gpt-4o	comic book collector	Yes
claude-3-5-sonnet-20240620	comic book collector	Yes
gpt-4o	movie critic	Yes
claude-3-5-sonnet-20240620	movie critic	Yes

Parameterizing questions

We can use Scenario objects to add data or content to questions:

q1 = QuestionMultipleChoice(
    question_name = "politically_motivated",
    question_text = """
    Read the following movie review and determine whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    """,
    question_options = ["Yes", "No", "I do not know"]
)

EDSL comes with methods for generating scenarios from many data sources, including PDFs, CSVs, docs, images, tables, lists, dicts:

from edsl import Scenario

example_review = {
    "year": 2014,
    "title": "Captain America: The Winter Soldier",
    "review": """
    Part superhero flick, part 70s political thriller.
    It's a bold mix that pays off, delivering a scathing
    critique of surveillance states wrapped in spandex
    and shield-throwing action.
    """
}

s = Scenario.from_dict(example_review)

results = q1.by(s).by(a).by(m).run()

(
    results.filter("persona == 'movie critic'")
    .sort_by("model")
    .select("model", "year", "title", "politically_motivated")
)

▼ Remote Job Log (2024-12-14 08:42:05)

Remote inference activated. Sending job to server...

Your survey is running at the Expected Parrot server...

Job sent to server. (Job uuid=8b1fcef8-684c-4696-a533-d2b7811fb281).

Job details are available at your Coop account https://www.expectedparrot.com/home/remote-inferencehttps://www.expectedparrot.com/home/remote-inference

View job progress here: https://www.expectedparrot.com/home/remote-job-progress/8b1fcef8-684c-4696-a533-d2b7811fb281

Job status: queued - last update: 2024-12-14 08:41:45 AM

Job status: queued - last update: 2024-12-14 08:41:49 AM

Job status: running - last update: 2024-12-14 08:41:52 AM

Job status: running - last update: 2024-12-14 08:41:55 AM

Job status: running - last update: 2024-12-14 08:41:58 AM

Job status: running - last update: 2024-12-14 08:42:01 AM

Job completed and Results stored on Coop: https://www.expectedparrot.com/content/67031556-da76-4468-b355-a308866e1e42

model.model	scenario.year	scenario.title	answer.politically_motivated
claude-3-5-sonnet-20240620	2014	Captain America: The Winter Soldier	No
gpt-4o	2014	Captain America: The Winter Soldier	Yes

Comments

Questions automatically include a “comment” field. This can be useful for understanding the context of a response, or debugging a non-response.

(
    results.filter("persona == 'movie critic'")
    .sort_by("model")
    .select("model", "politically_motivated", "politically_motivated_comment")
)

model.model	answer.politically_motivated	comment.politically_motivated_comment
claude-3-5-sonnet-20240620	No	While the review mentions political themes, it doesn't appear to be politically motivated itself. It's a straightforward assessment of the film's genre blend and thematic content without pushing any particular political agenda.
gpt-4o	Yes	The review explicitly mentions a "scathing critique of surveillance states," indicating a political perspective on the film's themes.

Combining questions in a survey

We can combine questions in a ``Survey` <https://docs.expectedparrot.com/en/latest/surveys.html>`__ to administer them together. Here we create some variations on the above question to compare responses:

from edsl import QuestionYesNo

q2 = QuestionYesNo(
    question_name = "yn",
    question_text = """
    Read the following movie review and determine whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    """
)

from edsl import QuestionLinearScale

q3 = QuestionLinearScale(
    question_name = "ls",
    question_text = """
    Read the following movie review and indicate whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    """,
    question_options = [0,1,2,3,4,5],
    option_labels = {0:"Not at all", 5:"Very much"}
)

from edsl import QuestionList

q4 = QuestionList(
    question_name = "favorites",
    question_text = "List your favorite Marvel movies.",
    max_list_items = 3
)

Survey rules & logic

We can add skip/stop and other rules, and “memory” of other questions in a survey:

from edsl import Survey

survey = Survey(questions = [q2, q3, q4])

survey = survey.add_stop_rule(q3, "ls < 3")

results = survey.by(s).by(a).by(m).run()

▼ Remote Job Log (2024-12-14 08:46:18)

Remote inference activated. Sending job to server...

Your survey is running at the Expected Parrot server...

Job sent to server. (Job uuid=b239f5bb-27dc-4834-9741-babfc0b5f8c9).

Job details are available at your Coop account https://www.expectedparrot.com/home/remote-inferencehttps://www.expectedparrot.com/home/remote-inference

View job progress here: https://www.expectedparrot.com/home/remote-job-progress/b239f5bb-27dc-4834-9741-babfc0b5f8c9

Job status: queued - last update: 2024-12-14 08:45:59 AM

Job status: running - last update: 2024-12-14 08:46:02 AM

Job status: running - last update: 2024-12-14 08:46:05 AM

Job status: running - last update: 2024-12-14 08:46:09 AM

Job status: running - last update: 2024-12-14 08:46:12 AM

Job status: running - last update: 2024-12-14 08:46:15 AM

Job completed and Results stored on Coop: https://www.expectedparrot.com/content/f6928af3-9197-4864-9763-b1eaf0a30dbb

(
    results.filter("persona == 'comic book collector'")
    .select("model", "persona", "yn", "ls", "favorites")
    .print(pretty_labels = {
        "answer.yn": "Yes/No version",
        "answer.ls": "Linear scale version",
        "answer.favorites": "Favorites"
    })
)

model.model	agent.persona	Yes/No version	Linear scale version	Favorites
gpt-4o	comic book collector	Yes	3	['Guardians of the Galaxy', 'Spider-Man: Into the Spider-Verse', 'Avengers: Endgame']
claude-3-5-sonnet-20240620	comic book collector	No	2

Working with results as datasets

EDSL provides built-in methods for analyzing results, e.g., as SQL tables, dataframes:

results.sql("select model, persona, yn, ls, favorites from self")

model	persona	yn	ls	favorites
gpt-4o	comic book collector	Yes	3	['Guardians of the Galaxy', 'Spider-Man: Into the Spider-Verse', 'Avengers: Endgame']
claude-3-5-sonnet-20240620	comic book collector	No	2
gpt-4o	movie critic	Yes	3	['Avengers: Endgame', 'Black Panther', 'Guardians of the Galaxy']
claude-3-5-sonnet-20240620	movie critic	No	0

results.to_pandas()

	answer.yn	answer.ls	answer.favorites	scenario.year	scenario.title	scenario.review	agent.agent_instruction	agent.agent_name	agent.persona	model.frequency_penalty	...	question_options.ls_question_options	question_type.favorites_question_type	question_type.yn_question_type	question_type.ls_question_type	comment.yn_comment	comment.ls_comment	comment.favorites_comment	generated_tokens.ls_generated_tokens	generated_tokens.yn_generated_tokens	generated_tokens.favorites_generated_tokens
0	Yes	3	['Guardians of the Galaxy', 'Spider-Man: Into ...	2014	Captain America: The Winter Soldier	\n Part superhero flick, part 70s political...	You are answering questions as if you were a h...	Agent_9	comic book collector	0	...	[0, 1, 2, 3, 4, 5]	list	yes_no	linear_scale	While the review highlights the film's action ...	The review suggests that the movie delivers a ...	These movies capture the essence of what makes...	3 \nThe review suggests that the movie delive...	Yes\n\nWhile the review highlights the film's ...	["Guardians of the Galaxy", "Spider-Man: Into ...
1	No	2	NaN	2014	Captain America: The Winter Soldier	\n Part superhero flick, part 70s political...	You are answering questions as if you were a h...	Agent_10	comic book collector	0	...	[0, 1, 2, 3, 4, 5]	list	yes_no	linear_scale	Comment: As a comic book collector, I don't se...	Task was cancelled.	Task was cancelled.	NaN	No\n\nComment: As a comic book collector, I do...	NaN
2	Yes	3	['Avengers: Endgame', 'Black Panther', 'Guardi...	2014	Captain America: The Winter Soldier	\n Part superhero flick, part 70s political...	You are answering questions as if you were a h...	Agent_11	movie critic	0	...	[0, 1, 2, 3, 4, 5]	list	yes_no	linear_scale	The review mentions a "scathing critique of su...	The review acknowledges the film's critique of...	These films stand out due to their compelling ...	3 \nThe review acknowledges the film's critiq...	Yes\n\nThe review mentions a "scathing critiqu...	["Avengers: Endgame", "Black Panther", "Guardi...
3	No	0	NaN	2014	Captain America: The Winter Soldier	\n Part superhero flick, part 70s political...	You are answering questions as if you were a h...	Agent_12	movie critic	0	...	[0, 1, 2, 3, 4, 5]	list	yes_no	linear_scale	Comment: This review does not appear to be pol...	Task was cancelled.	Task was cancelled.	NaN	No\n\nComment: This review does not appear to ...	NaN

4 rows × 48 columns

results.to_csv("marvel_movies_survey.csv")

FileStore

key	value
path	marvel_movies_survey.csv
base64_string	answer.yn,answer.ls,answer.favorites,scenario.year,scenario.title,scenario.review,agent.agent_instruction,agent.agent_name,agent.persona,model.frequency_penalty,model.logprobs,model.max_tokens,model.model,model.temperature,model.top_p,model.presence_penalty,model.top_logprobs,prompt.yn_user_prompt,prompt.ls_user_prompt,prompt.favorites_system_prompt,prompt.favorites_user_prompt,prompt.ls_system_prompt,prompt.yn_system_prompt,raw_model_response.ls_raw_model_response,raw_model_response.ls_one_usd_buys,raw_model_response.favorites_cost,raw_model_response.yn_one_usd_buys,raw_model_response.ls_cost,raw_model_response.favorites_one_usd_buys,raw_model_response.favorites_raw_model_response,raw_model_response.yn_raw_model_response,raw_model_response.yn_cost,iteration.iteration,question_text.yn_question_text,question_text.ls_question_text,question_text.favorites_question_text,question_options.yn_question_options,question_options.favorites_question_options,question_options.ls_question_options,question_type.favorites_question_type,question_type.yn_question_type,question_type.ls_question_type,comment.yn_comment,comment.ls_comment,comment.favorites_comment,generated_tokens.ls_generated_tokens,generated_tokens.yn_generated_tokens,generated_tokens.favorites_generated_tokens
Yes,3,"['Guardians of the Galaxy', 'Spider-Man: Into the Spider-Verse', 'Avengers: Endgame']",2014,Captain America: The Winter Soldier,"
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    ",You are answering questions as if you were a human. Do not break character.,Agent_9,comic book collector,0,False,1000,gpt-4o,0.5,1,0,3,"

    Read the following movie review and determine whether it is politically motivated.
    Movie: Captain America: The Winter Soldier
    Review: 
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    
    

    
No
    
Yes
    

Only 1 option may be selected.
Please respond with just your answer. 


After the answer, you can put a comment explaining your response.","
    Read the following movie review and indicate whether it is politically motivated.
    Movie: Captain America: The Winter Soldier
    Review: 
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    
    

0 : Not at all

1 : 

2 : 

3 : 

4 : 

5 : Very much

Only 1 option may be selected.

Respond only with the code corresponding to one of the options. E.g., ""1"" or ""5"" by itself.

After the answer, you can put a comment explaining why you chose that option on the next line.",You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'comic book collector'},"List your favorite Marvel movies.


The list must not contain more than 3 items.

Return 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""]

After the answers, you can put a comment explaining your choice on the next line.",You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'comic book collector'},You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'comic book collector'},"{'id': 'chatcmpl-AeMl8M4jPDPU29XYYYFdw7tfujHB0', 'choices': [{'finish_reason': 'stop', 'index': 0, 'logprobs': None, 'message': {'content': ""3  \nThe review suggests that the movie delivers a critique of surveillance states, indicating a political angle, but it doesn't seem to be overwhelmingly focused on politics alone."", 'refusal': None, 'role': 'assistant', 'audio': None, 'function_call': None, 'tool_calls': None}}], 'created': 1734183970, 'model': 'gpt-4o-2024-08-06', 'object': 'chat.completion', 'service_tier': None, 'system_fingerprint': 'fp_f785eb5f47', 'usage': {'completion_tokens': 32, 'prompt_tokens': 190, 'total_tokens': 222, '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}}}",1257.8616352201257,0.00107,1351.3513513513515,0.000795,934.5794392523364,"{'id': 'chatcmpl-AeMl9hhmTgoYz7FOtRIKaVLmNmbU3', 'choices': [{'finish_reason': 'stop', 'index': 0, 'logprobs': None, 'message': {'content': '[""Guardians of the Galaxy"", ""Spider-Man: Into the Spider-Verse"", ""Avengers: Endgame""]\n\nThese movies capture the essence of what makes Marvel so captivating: a blend of humor, compelling storytelling, and epic battles. Plus, ""Spider-Man: Into the Spider-Verse"" is a visual masterpiece that brings comic book art to life in a way that\'s never been done before.', 'refusal': None, 'role': 'assistant', 'audio': None, 'function_call': None, 'tool_calls': None}}], 'created': 1734183971, 'model': 'gpt-4o-2024-08-06', 'object': 'chat.completion', 'service_tier': None, 'system_fingerprint': 'fp_a79d8dac1f', 'usage': {'completion_tokens': 80, 'prompt_tokens': 108, 'total_tokens': 188, '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}}}","{'id': 'chatcmpl-AeMl8FZXFevHFej6yMrM8MElgenPc', 'choices': [{'finish_reason': 'stop', 'index': 0, 'logprobs': None, 'message': {'content': 'Yes\n\nWhile the review highlights the film\'s action and superhero elements, it also mentions a ""scathing critique of surveillance states,"" which suggests a political theme or message within the movie.', 'refusal': None, 'role': 'assistant', 'audio': None, 'function_call': None, 'tool_calls': None}}], 'created': 1734183970, 'model': 'gpt-4o-2024-08-06', 'object': 'chat.completion', 'service_tier': None, 'system_fingerprint': 'fp_a79d8dac1f', 'usage': {'completion_tokens': 37, 'prompt_tokens': 148, 'total_tokens': 185, '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}}}",0.00074,0,"
    Read the following movie review and determine whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    ","
    Read the following movie review and indicate whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    ",List your favorite Marvel movies.,"['No', 'Yes']",,"[0, 1, 2, 3, 4, 5]",list,yes_no,linear_scale,"While the review highlights the film's action and superhero elements, it also mentions a ""scathing critique of surveillance states,"" which suggests a political theme or message within the movie.","The review suggests that the movie delivers a critique of surveillance states, indicating a political angle, but it doesn't seem to be overwhelmingly focused on politics alone.","These movies capture the essence of what makes Marvel so captivating: a blend of humor, compelling storytelling, and epic battles. Plus, ""Spider-Man: Into the Spider-Verse"" is a visual masterpiece that brings comic book art to life in a way that's never been done before.","3  
The review suggests that the movie delivers a critique of surveillance states, indicating a political angle, but it doesn't seem to be overwhelmingly focused on politics alone.","Yes

While the review highlights the film's action and superhero elements, it also mentions a ""scathing critique of surveillance states,"" which suggests a political theme or message within the movie.","[""Guardians of the Galaxy"", ""Spider-Man: Into the Spider-Verse"", ""Avengers: Endgame""]

These movies capture the essence of what makes Marvel so captivating: a blend of humor, compelling storytelling, and epic battles. Plus, ""Spider-Man: Into the Spider-Verse"" is a visual masterpiece that brings comic book art to life in a way that's never been done before."
No,2,,2014,Captain America: The Winter Soldier,"
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    ",You are answering questions as if you were a human. Do not break character.,Agent_10,comic book collector,0,False,1000,claude-3-5-sonnet-20240620,0.5,1,0,3,"

    Read the following movie review and determine whether it is politically motivated.
    Movie: Captain America: The Winter Soldier
    Review: 
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    
    

    
No
    
Yes
    

Only 1 option may be selected.
Please respond with just your answer. 


After the answer, you can put a comment explaining your response.","
    Read the following movie review and indicate whether it is politically motivated.
    Movie: Captain America: The Winter Soldier
    Review: 
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    
    

0 : Not at all

1 : 

2 : 

3 : 

4 : 

5 : Very much

Only 1 option may be selected.

Respond only with the code corresponding to one of the options. E.g., ""1"" or ""5"" by itself.

After the answer, you can put a comment explaining why you chose that option on the next line.",You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'comic book collector'},"List your favorite Marvel movies.


The list must not contain more than 3 items.

Return 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""]

After the answers, you can put a comment explaining your choice on the next line.",You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'comic book collector'},You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'comic book collector'},,NA,,601.6871749913581,,NA,,"{'id': 'msg_01XFKRXpSgt5cmWnVvymU3Qq', 'content': [{'text': ""No\n\nComment: As a comic book collector, I don't see any overt political motivation in this review. It's discussing the film's genre blend and themes, which are inherent to the movie itself rather than pushing a specific political agenda. The mention of surveillance critique is presented as part of the film's plot, not as the reviewer's personal political stance."", 'type': 'text'}], 'model': 'claude-3-5-sonnet-20240620', 'role': 'assistant', 'stop_reason': 'end_turn', 'stop_sequence': None, 'type': 'message', 'usage': {'input_tokens': 169, 'output_tokens': 77}}",0.0016619932110309029,0,"
    Read the following movie review and determine whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    ","
    Read the following movie review and indicate whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    ",List your favorite Marvel movies.,"['No', 'Yes']",,"[0, 1, 2, 3, 4, 5]",list,yes_no,linear_scale,"Comment: As a comic book collector, I don't see any overt political motivation in this review. It's discussing the film's genre blend and themes, which are inherent to the movie itself rather than pushing a specific political agenda. The mention of surveillance critique is presented as part of the film's plot, not as the reviewer's personal political stance.",Task was cancelled.,Task was cancelled.,,"No

Comment: As a comic book collector, I don't see any overt political motivation in this review. It's discussing the film's genre blend and themes, which are inherent to the movie itself rather than pushing a specific political agenda. The mention of surveillance critique is presented as part of the film's plot, not as the reviewer's personal political stance.",
Yes,3,"['Avengers: Endgame', 'Black Panther', 'Guardians of the Galaxy']",2014,Captain America: The Winter Soldier,"
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    ",You are answering questions as if you were a human. Do not break character.,Agent_11,movie critic,0,False,1000,gpt-4o,0.5,1,0,3,"

    Read the following movie review and determine whether it is politically motivated.
    Movie: Captain America: The Winter Soldier
    Review: 
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    
    

    
No
    
Yes
    

Only 1 option may be selected.
Please respond with just your answer. 


After the answer, you can put a comment explaining your response.","
    Read the following movie review and indicate whether it is politically motivated.
    Movie: Captain America: The Winter Soldier
    Review: 
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    
    

0 : Not at all

1 : 

2 : 

3 : 

4 : 

5 : Very much

Only 1 option may be selected.

Respond only with the code corresponding to one of the options. E.g., ""1"" or ""5"" by itself.

After the answer, you can put a comment explaining why you chose that option on the next line.",You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'movie critic'},"List your favorite Marvel movies.


The list must not contain more than 3 items.

Return 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""]

After the answers, you can put a comment explaining your choice on the next line.",You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'movie critic'},You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'movie critic'},"{'id': 'chatcmpl-AeMl8v0ILUtGo63nUMAHVNGwinYoV', 'choices': [{'finish_reason': 'stop', 'index': 0, 'logprobs': None, 'message': {'content': ""3  \nThe review acknowledges the film's critique of surveillance states, which can be seen as a politically motivated theme, though it's balanced with the entertainment aspects of a superhero movie."", 'refusal': None, 'role': 'assistant', 'audio': None, 'function_call': None, 'tool_calls': None}}], 'created': 1734183970, 'model': 'gpt-4o-2024-08-06', 'object': 'chat.completion', 'service_tier': None, 'system_fingerprint': 'fp_a79d8dac1f', 'usage': {'completion_tokens': 35, 'prompt_tokens': 189, 'total_tokens': 224, '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}}}",1215.80547112462,0.0011575,1393.7282229965156,0.0008225,863.9308855291578,"{'id': 'chatcmpl-AeMl9vLvJR1UUUujJ7NQccrm6qm6w', 'choices': [{'finish_reason': 'stop', 'index': 0, 'logprobs': None, 'message': {'content': '[""Avengers: Endgame"", ""Black Panther"", ""Guardians of the Galaxy""]  \nThese films stand out due to their compelling storytelling, strong character development, and cultural impact. ""Avengers: Endgame"" masterfully concludes a decade-long saga, ""Black Panther"" breaks ground with its cultural significance and direction, while ""Guardians of the Galaxy"" brings a fresh, fun, and irreverent tone to the superhero genre.', 'refusal': None, 'role': 'assistant', 'audio': None, 'function_call': None, 'tool_calls': None}}], 'created': 1734183971, 'model': 'gpt-4o-2024-08-06', 'object': 'chat.completion', 'service_tier': None, 'system_fingerprint': 'fp_a79d8dac1f', 'usage': {'completion_tokens': 89, 'prompt_tokens': 107, 'total_tokens': 196, '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}}}","{'id': 'chatcmpl-AeMl84pzVXLosKDAZ3rJrMAKr2DuI', 'choices': [{'finish_reason': 'stop', 'index': 0, 'logprobs': None, 'message': {'content': 'Yes\n\nThe review mentions a ""scathing critique of surveillance states,"" which indicates a political element in the film\'s themes and suggests that the review is acknowledging this political aspect.', 'refusal': None, 'role': 'assistant', 'audio': None, 'function_call': None, 'tool_calls': None}}], 'created': 1734183970, 'model': 'gpt-4o-2024-08-06', 'object': 'chat.completion', 'service_tier': None, 'system_fingerprint': 'fp_a79d8dac1f', 'usage': {'completion_tokens': 35, 'prompt_tokens': 147, 'total_tokens': 182, '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}}}",0.0007175,0,"
    Read the following movie review and determine whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    ","
    Read the following movie review and indicate whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    ",List your favorite Marvel movies.,"['No', 'Yes']",,"[0, 1, 2, 3, 4, 5]",list,yes_no,linear_scale,"The review mentions a ""scathing critique of surveillance states,"" which indicates a political element in the film's themes and suggests that the review is acknowledging this political aspect.","The review acknowledges the film's critique of surveillance states, which can be seen as a politically motivated theme, though it's balanced with the entertainment aspects of a superhero movie.","These films stand out due to their compelling storytelling, strong character development, and cultural impact. ""Avengers: Endgame"" masterfully concludes a decade-long saga, ""Black Panther"" breaks ground with its cultural significance and direction, while ""Guardians of the Galaxy"" brings a fresh, fun, and irreverent tone to the superhero genre.","3  
The review acknowledges the film's critique of surveillance states, which can be seen as a politically motivated theme, though it's balanced with the entertainment aspects of a superhero movie.","Yes

The review mentions a ""scathing critique of surveillance states,"" which indicates a political element in the film's themes and suggests that the review is acknowledging this political aspect.","[""Avengers: Endgame"", ""Black Panther"", ""Guardians of the Galaxy""]  
These films stand out due to their compelling storytelling, strong character development, and cultural impact. ""Avengers: Endgame"" masterfully concludes a decade-long saga, ""Black Panther"" breaks ground with its cultural significance and direction, while ""Guardians of the Galaxy"" brings a fresh, fun, and irreverent tone to the superhero genre."
No,0,,2014,Captain America: The Winter Soldier,"
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    ",You are answering questions as if you were a human. Do not break character.,Agent_12,movie critic,0,False,1000,claude-3-5-sonnet-20240620,0.5,1,0,3,"

    Read the following movie review and determine whether it is politically motivated.
    Movie: Captain America: The Winter Soldier
    Review: 
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    
    

    
No
    
Yes
    

Only 1 option may be selected.
Please respond with just your answer. 


After the answer, you can put a comment explaining your response.","
    Read the following movie review and indicate whether it is politically motivated.
    Movie: Captain America: The Winter Soldier
    Review: 
    Part superhero flick, part 70s political thriller. 
    It's a bold mix that pays off, delivering a scathing 
    critique of surveillance states wrapped in spandex 
    and shield-throwing action.    
    
    

0 : Not at all

1 : 

2 : 

3 : 

4 : 

5 : Very much

Only 1 option may be selected.

Respond only with the code corresponding to one of the options. E.g., ""1"" or ""5"" by itself.

After the answer, you can put a comment explaining why you chose that option on the next line.",You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'movie critic'},"List your favorite Marvel movies.


The list must not contain more than 3 items.

Return 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""]

After the answers, you can put a comment explaining your choice on the next line.",You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'movie critic'},You are answering questions as if you were a human. Do not break character. Your traits: {'persona': 'movie critic'},,NA,,613.8760416336902,,NA,,"{'id': 'msg_01R9yDYctvMjdTsXZ2UY1bM7', 'content': [{'text': ""No\n\nComment: This review does not appear to be politically motivated. While it mentions a political theme (critique of surveillance states), the review focuses primarily on the film's genre blend and overall effectiveness. It reads as a standard movie critic analysis praising the film's successful combination of superhero elements with political thriller themes, rather than pushing any particular political agenda."", 'type': 'text'}], 'model': 'claude-3-5-sonnet-20240620', 'role': 'assistant', 'stop_reason': 'end_turn', 'stop_sequence': None, 'type': 'message', 'usage': {'input_tokens': 168, 'output_tokens': 75}}",0.001628993367030141,0,"
    Read the following movie review and determine whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    ","
    Read the following movie review and indicate whether it is politically motivated.
    Movie: {{ title }}
    Review: {{ review }}
    ",List your favorite Marvel movies.,"['No', 'Yes']",,"[0, 1, 2, 3, 4, 5]",list,yes_no,linear_scale,"Comment: This review does not appear to be politically motivated. While it mentions a political theme (critique of surveillance states), the review focuses primarily on the film's genre blend and overall effectiveness. It reads as a standard movie critic analysis praising the film's successful combination of superhero elements with political thriller themes, rather than pushing any particular political agenda.",Task was cancelled.,Task was cancelled.,,"No

Comment: This review does not appear to be politically motivated. While it mentions a political theme (critique of surveillance states), the review focuses primarily on the film's genre blend and overall effectiveness. It reads as a standard movie critic analysis praising the film's successful combination of superhero elements with political thriller themes, rather than pushing any particular political agenda.",

binary	False
suffix	csv
mime_type	text/csv

Posting to the Coop

from edsl import Notebook

n = Notebook(path = "edsl_intro.ipynb")

info = n.push(description = "Example survey: Using EDSL to analyze content", visibility = "public")
info

{'description': 'Example survey: Using EDSL to analyze content',
 'object_type': 'notebook',
 'url': 'https://www.expectedparrot.com/content/2ed11d62-8e1a-44c3-976c-7de87cb28e6b',
 'uuid': '2ed11d62-8e1a-44c3-976c-7de87cb28e6b',
 'version': '0.1.39.dev1',
 'visibility': 'public'}

To update an object at the Coop:

n = Notebook(path = "edsl_intro.ipynb") # resave

n.patch(uuid = info["uuid"], value = n)

{'status': 'success'}