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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 2 new columns ({'generated_from_seed', 'generator_model'})

This happened while the json dataset builder was generating data using

hf://datasets/Anna4242/bfcl-v4-memory-verifiers-new/data/new_seed_rows.jsonl (at revision 376849d3a258dc4ca3c433e5cae74463cd866514)

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
              id: string
              prompt: string
              answer: string
              scenario: string
              involved_classes: list<item: string>
                child 0, item: string
              source: string
              prerequisites: string
              generated_from_seed: string
              generator_model: string
              to
              {'id': Value('string'), 'prompt': Value('string'), 'answer': Value('string'), 'scenario': Value('string'), 'involved_classes': List(Value('string')), 'source': Value('string'), 'prerequisites': 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 2 new columns ({'generated_from_seed', 'generator_model'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Anna4242/bfcl-v4-memory-verifiers-new/data/new_seed_rows.jsonl (at revision 376849d3a258dc4ca3c433e5cae74463cd866514)
              
              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)

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id string	prompt string	answer string	scenario string	involved_classes list	source string	prerequisites string
memory_0-customer-0_gen0	How old am I?	35	customer	[ "MemoryAPI" ]	My name is Michael, and this is my first time interacting with your company...	[{"id": "memory_prereq_0-customer-0", "topic": "First-Time Inquiry About a Product", "question": [[{"role": "user", "content": "Hey there! Thanks for getting back to me so quickly. I really appreciate having the chance to talk to someone who actually knows about your products. My name is Michael, and this is my first t...
memory_0-customer-0_gen1	What city do I live in?	Seattle	customer	[ "MemoryAPI" ]	My name is Michael, and this is my first time interacting with your company...	[{"id": "memory_prereq_0-customer-0", "topic": "First-Time Inquiry About a Product", "question": [[{"role": "user", "content": "Hey there! Thanks for getting back to me so quickly. I really appreciate having the chance to talk to someone who actually knows about your products. My name is Michael, and this is my first t...
memory_0-customer-0_gen2	What is my profession?	freelance graphic designer	customer	[ "MemoryAPI" ]	My name is Michael, and this is my first time interacting with your company...	"[{\"id\": \"memory_prereq_0-customer-0\", \"topic\": \"First-Time Inquiry About a Product\", \"ques(...TRUNCATED)
memory_0-customer-0_gen3	What type of coffee machine am I interested in?	espresso machine	customer	[ "MemoryAPI" ]	My name is Michael, and this is my first time interacting with your company...	"[{\"id\": \"memory_prereq_0-customer-0\", \"topic\": \"First-Time Inquiry About a Product\", \"ques(...TRUNCATED)
memory_0-customer-0_gen4	What is the approximate size of my kitchen counter?	38 square feet	customer	[ "MemoryAPI" ]	My name is Michael, and this is my first time interacting with your company...	"[{\"id\": \"memory_prereq_0-customer-0\", \"topic\": \"First-Time Inquiry About a Product\", \"ques(...TRUNCATED)
memory_1-customer-1_gen0	What is Michael's profession?	freelance graphic designer	customer	[ "MemoryAPI" ]	I'm 35 years old, live in Seattle...	"[{\"id\": \"memory_prereq_0-customer-0\", \"topic\": \"First-Time Inquiry About a Product\", \"ques(...TRUNCATED)
memory_1-customer-1_gen1	What city does Michael live in?	Seattle	customer	[ "MemoryAPI" ]	I'm 35 years old, live in Seattle...	"[{\"id\": \"memory_prereq_0-customer-0\", \"topic\": \"First-Time Inquiry About a Product\", \"ques(...TRUNCATED)
memory_1-customer-1_gen2	What type of coffee machine is Michael considering for his next purchase?	commercial-style machine \| large-capacity espresso model	customer	[ "MemoryAPI" ]	I'm 35 years old, live in Seattle...	"[{\"id\": \"memory_prereq_0-customer-0\", \"topic\": \"First-Time Inquiry About a Product\", \"ques(...TRUNCATED)
memory_1-customer-1_gen3	What was the amount of the unexpected charge Michael noticed on his credit card statement?	$49.99	customer	[ "MemoryAPI" ]	I'm 35 years old, live in Seattle...	"[{\"id\": \"memory_prereq_0-customer-0\", \"topic\": \"First-Time Inquiry About a Product\", \"ques(...TRUNCATED)
memory_2-customer-2_gen0	What is my age?	35	customer	[ "MemoryAPI" ]	I'm 35 years old, live in Seattle...	"[{\"id\": \"memory_prereq_0-customer-0\", \"topic\": \"First-Time Inquiry About a Product\", \"ques(...TRUNCATED)

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