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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 9 new columns ({'errors', 'total_conversations', 'dataset', 'context_awareness_rate', 'description', 'context_aware_responses', 'task', 'persona_recall_rate', 'persona_recall_success'}) and 7 missing columns ({'conversation_id', 'memory_task_response', 'personas_length', 'task_state', 'persona_recall', 'num_previous_sessions', 'self_instruct'}).

This happened while the json dataset builder was generating data using

hf://datasets/Hayleyy2024/YYtest/test_results/agent_claude/msc_self_instruct_summary.json (at revision da35c37bd00e2697fc9f34fb92bd5524a97e585f)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              task: string
              dataset: string
              description: string
              total_conversations: int64
              persona_recall_success: int64
              context_aware_responses: int64
              errors: int64
              persona_recall_rate: double
              context_awareness_rate: double
              timestamp: string
              to
              {'conversation_id': Value('int64'), 'num_previous_sessions': Value('int64'), 'personas_length': Value('int64'), 'memory_task_response': Value('string'), 'task_state': Value('string'), 'persona_recall': {'mentioned_count': Value('int64'), 'success': Value('bool')}, 'self_instruct': {'question': Value('string'), 'expected': Value('string'), 'response': Value('string'), 'correct': Value('bool')}, 'timestamp': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 9 new columns ({'errors', 'total_conversations', 'dataset', 'context_awareness_rate', 'description', 'context_aware_responses', 'task', 'persona_recall_rate', 'persona_recall_success'}) and 7 missing columns ({'conversation_id', 'memory_task_response', 'personas_length', 'task_state', 'persona_recall', 'num_previous_sessions', 'self_instruct'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Hayleyy2024/YYtest/test_results/agent_claude/msc_self_instruct_summary.json (at revision da35c37bd00e2697fc9f34fb92bd5524a97e585f)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

conversation_id
int64
num_previous_sessions
int64
personas_length
int64
memory_task_response
string
task_state
string
persona_recall
dict
self_instruct
dict
timestamp
string
0
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Based on the conversation context, here's what I remember about this person: **Key Personal Information:** - Has been volunteering at a homeless shelter in their town for 7 years - Works as a professional wrestler (day job) - Likes wrestling but isn't "super into" it - Enjoys crowds and meeting people - Works out a fe...
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about music? What was the artist you mentioned you could get into?", "expected": "Taylor Swift!", "response": "I don't have any previous conversation history with you about music or any artist that I mentioned I could get into. This appears to be the start of our c...
2025-11-07T01:02:13.821999
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Based on the conversation context, here's what I remember about this person: **Personal Background:** - Married with 2 children - Has never been to Disneyland **Current Work Situation:** - Experiencing workplace challenges - the job is demanding but doesn't pay well - Work conditions haven't improved recently - Consi...
finished
{ "mentioned_count": 3, "success": true }
{ "question": "Hey, remember that time we talked about our jobs and expenses? What was that one thing you said you did to save money?", "expected": "I eat a fresh and raw diet to save on groceries.", "response": "I don't have any record of a previous conversation with you about jobs and expenses, or any money-sav...
2025-11-07T01:02:26.878097
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Based on the conversation context, here's what I remember about this person and the conversation: **Key Information About the Person:** - They like cooler weather - They have a son who is in junior high school - They work as a stunt double (based on the question about "stunt double jobs") **Conversation Summary:** Th...
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about our work lives? What was that field you said you used to work in?", "expected": "I used to work in the human services field.", "response": "I don't have any record of a previous conversation where we discussed work lives or where I mentioned working in a part...
2025-11-07T01:02:38.933139
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Based on the conversation context, here's what I remember about this person: **Key Information:** - 19 years old - Works part-time at Burger King - Doesn't drink alcohol or use drugs - Got called in for an extra shift at work - Decided to accept the shift because they could use the extra hours **Conversation Summary:...
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about our studies and working part-time? What was the fast food place you said you're working at?", "expected": "Burger King!", "response": "I don't have any previous conversation history with you about studies or working part-time at a fast food place. This appear...
2025-11-07T01:02:51.988009
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Based on the conversation context, here's what I remember about this person and the conversation: **Key Information About the Person:** - Has a family - Enjoys exercising by walking - Appears to be older/focused on longevity - Does not smoke - Drinks red wine (believes it contributes to their health/longevity) - Has s...
finished
{ "mentioned_count": 1, "success": true }
{ "question": "Hey, remember that time we talked about our favorite ways to relax? What was the distance you mentioned you liked to walk for a small workout?", "expected": "Three miles!", "response": "I don't have any record of a previous conversation where we discussed favorite ways to relax or walking distances...
2025-11-07T01:03:06.058328
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Based on the conversation context, here's what I remember about this person: **Personal Background:** - They are an older person who grew up during the Great Depression, indicating they experienced poverty in their childhood - They have hobbies including bird watching and owning a cat - They enjoy watching war documen...
finished
{ "mentioned_count": 1, "success": true }
{ "question": "Hey, remember that time we talked about our pets? What kind of pet do you have?", "expected": "I have a cat.", "response": "I don't have any previous conversation history with you about pets. This appears to be the start of our conversation, so I don't have any context about discussing pets before....
2025-11-07T01:03:20.114427
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Based on the conversation context, here's what I remember about this person: **Personal Information:** - Has a dog - Has two children who both enjoy math **Recent Conversation Summary:** The conversation was about job searching. When asked about their job search progress this week, the person mentioned they've had a ...
finished
{ "mentioned_count": 1, "success": true }
{ "question": "Hey, remember that time we talked about our favorite movies? What was yours?", "expected": "Clueless!", "response": "I don't have any record of a previous conversation where we discussed favorite movies. This appears to be the beginning of our conversation, so I don't have any prior context to reca...
2025-11-07T01:03:32.168138
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Based on the conversation context, here's what I remember about this person: **About Billy:** - Name: Billy - Profession: Electrician - Location: Lives in Texas near Dallas, in the country - Family: Parents own a farm - Possessions: Has a truck - Preferences: Likes pizza **Recent Conversation:** Billy was discussing ...
finished
{ "mentioned_count": 0, "success": false }
{ "question": "Hey, remember that time we talked about your pet? What kind of animal is it?", "expected": "It's a cow!", "response": "I don't have any previous conversation history with you about pets. This appears to be the start of our conversation, so I don't have any context about discussing a pet with you be...
2025-11-07T01:03:44.224131
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Based on the conversation context, here's what I remember about this person: **Key Personal Information:** - Started playing guitar at age 3 (very early musical start) - Has strong musical abilities: can play by ear AND read sheet music - Grew up in the entertainment industry - Big fan of Rascal Flatts (note: spelled ...
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about your hobbies? How old were you when you first learned to play guitar?", "expected": "I was three!", "response": "I don't have any previous conversation history with you about hobbies or learning to play guitar. This appears to be the start of our conversation...
2025-11-07T01:03:58.281296
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Based on the conversation context, here's what I remember about this person: **Personal Background:** - An avid reader who loves the Hunger Games series - Currently reading "Caste" - Has traveled to Spain - Planning to retire in a few years - Dreams of traveling to Italy **Recent Conversation:** The conversation was...
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about our post-retirement plans? What did I tell you I wanted to learn in my free time?", "expected": "You mentioned you'd like to go to culinary school!", "response": "I don't have any record of a previous conversation with you about post-retirement plans or what ...
2025-11-07T01:04:11.338173
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2025-11-07T01:00:02.197953
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2025-11-07T01:00:09.225336
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2025-11-07T01:01:15.552968
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2025-11-07T01:01:59.761379
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This person volunteers in a homeless shelter in their town for 7 years, enjoys crowds and meeting people, works out a few times each week when needing solitude, and wrestles for their day job without being overly passionate about it. They also mentioned taking their dogs out for a walk during a break in the rain.
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about music? What was the artist you mentioned you could get into?", "expected": "Taylor Swift!", "response": "No mention of a specific artist related to music was made in the previous conversation.", "correct": false }
2025-11-07T01:43:28.675251
1
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Recall of the conversation: - The person is married to their wife and has two kids. - They have not been to Disneyland. - They mentioned that things have not improved at work; the job is demanding and does not pay well. - They expressed a desire to go back to school. - They were asked what they would want to study if ...
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about our jobs and expenses? What was that one thing you said you did to save money?", "expected": "I eat a fresh and raw diet to save on groceries.", "response": "No previous conversation about jobs and expenses was mentioned where I discussed saving money. Please...
2025-11-07T01:45:51.863385
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Recalled information: The person likes cooler weather and has a son in junior high. They were recently asked about stunt double jobs, to which they replied they don't have any upcoming jobs and suggested they have free time to read. The conversation ended with a question about what they are currently reading.
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about our work lives? What was that field you said you used to work in?", "expected": "I used to work in the human services field.", "response": "The previous conversation did not include any discussion about your work lives or the field you used to work in. Could ...
2025-11-07T01:48:13.049174
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Summary of the conversation: - The person is 19 years old and works part-time at Burger King. - They were called in for a shift at work. - They decided to go in for the shift because they could use the extra hours.
finished
{ "mentioned_count": 1, "success": true }
{ "question": "Hey, remember that time we talked about our studies and working part-time? What was the fast food place you said you're working at?", "expected": "Burger King!", "response": "I do not have any previous conversation about studying and working part-time at a fast food place. Could you please provide ...
2025-11-07T01:50:34.235301
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This person attributes their longevity to not smoking and believes that red wine has contributed to their health. They also mentioned that they like to exercise by walking and have a family. They expressed a wish to consume more red wine despite preferring tea.
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about our favorite ways to relax? What was the distance you mentioned you liked to walk for a small workout?", "expected": "Three miles!", "response": "I do not have any record of a previous conversation about favorite ways to relax or the distance you mentioned fo...
2025-11-07T01:52:56.423295
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Recall Summary: - The person enjoys bird watching and owns a cat. - They find war documentaries entertaining. - They grew up in poverty during the Great Depression. - They recently bought new outfits and are excited to go shopping. - They mentioned considering Macy's, Lord & Taylor, Dillards, and JC Penney for shoppin...
finished
{ "mentioned_count": 0, "success": false }
{ "question": "Hey, remember that time we talked about our pets? What kind of pet do you have?", "expected": "I have a cat.", "response": "I do not have any information about pets from the previous conversation. Could you please provide more context or clarify your question?", "correct": false }
2025-11-07T01:55:17.612638
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This person has a dog and two children who enjoy math. They have had a couple of job interviews recently but are currently experiencing difficulty with their job search.
finished
{ "mentioned_count": 1, "success": true }
{ "question": "Hey, remember that time we talked about our favorite movies? What was yours?", "expected": "Clueless!", "response": "I do not recall discussing our favorite movies in the previous conversation. Could you please provide more context or clarify your question?", "correct": false }
2025-11-07T01:57:37.798485
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Summary of the conversation: - The person's name is Billy. - Billy is an electrician living in Texas near Dallas. - Billy's parents have a farm, and he lives in the country. - Billy owns a truck. - Billy likes pizza. - Billy's cow is doing well and eating well. - Billy gave the cow more hay and thinks the antibiotics ...
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about your pet? What kind of animal is it?", "expected": "It's a cow!", "response": "I do not have any information about a pet from our previous conversation. Could you please provide more context or clarify your question?", "correct": false }
2025-11-07T01:59:58.983254
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Recall Summary: - The person learned to play guitar at age 3. - They like the musician Rascal Flats. - They grew up involved in the entertainment industry. - They like the song "Life is a Highway" by Rascal Flats. - They can play music by ear and read sheet music. - Their favorite Rascal Flats song is "What Hurts the ...
finished
{ "mentioned_count": 2, "success": true }
{ "question": "Hey, remember that time we talked about your hobbies? How old were you when you first learned to play guitar?", "expected": "I was three!", "response": "I do not have any information about our previous conversation regarding your hobbies or when you first learned to play guitar. Could you please pr...
2025-11-07T02:02:21.172238
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This person loves to read, with a particular fondness for the Hunger Games series and is currently reading "Caste." They have visited Spain and plan to retire soon, with a desire to travel to Italy. Recently, they expressed interest in Christmas and suggested having a baking competition to determine who makes better co...
finished
{ "mentioned_count": 1, "success": true }
{ "question": "Hey, remember that time we talked about our post-retirement plans? What did I tell you I wanted to learn in my free time?", "expected": "You mentioned you'd like to go to culinary school!", "response": "I do not have any record of a previous conversation about post-retirement plans or what you want...
2025-11-07T02:04:42.358123
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2025-11-07T01:14:07.344064
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2025-11-07T01:41:07.484238
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2025-11-07T01:41:07.484590

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