Datasets:

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inference-optimization

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gpt-oss-120b-responses

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Inference Optimization 30

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
conversations: list<item: struct<from: string, value: string>>
  child 0, item: struct<from: string, value: string>
      child 0, from: string
      child 1, value: string
metadata: struct<idx: int64, uuid: string, finish_reason: string, latency_s: double, usage: struct<prompt_toke (... 114 chars omitted)
  child 0, idx: int64
  child 1, uuid: string
  child 2, finish_reason: string
  child 3, latency_s: double
  child 4, usage: struct<prompt_tokens: int64, total_tokens: int64, completion_tokens: int64, prompt_tokens_details: n (... 4 chars omitted)
      child 0, prompt_tokens: int64
      child 1, total_tokens: int64
      child 2, completion_tokens: int64
      child 3, prompt_tokens_details: null
  child 5, reasoning_content: string
to
{'id': Value('string'), 'conversations': List({'from': Value('string'), 'value': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              conversations: list<item: struct<from: string, value: string>>
                child 0, item: struct<from: string, value: string>
                    child 0, from: string
                    child 1, value: string
              metadata: struct<idx: int64, uuid: string, finish_reason: string, latency_s: double, usage: struct<prompt_toke (... 114 chars omitted)
                child 0, idx: int64
                child 1, uuid: string
                child 2, finish_reason: string
                child 3, latency_s: double
                child 4, usage: struct<prompt_tokens: int64, total_tokens: int64, completion_tokens: int64, prompt_tokens_details: n (... 4 chars omitted)
                    child 0, prompt_tokens: int64
                    child 1, total_tokens: int64
                    child 2, completion_tokens: int64
                    child 3, prompt_tokens_details: null
                child 5, reasoning_content: string
              to
              {'id': Value('string'), 'conversations': List({'from': Value('string'), 'value': Value('string')})}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset