Datasets:

---

aaronr43210

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terrapulse-sft-data

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
question: string
status: string
fact_sheet: string
template_answer: string
evidence_ids: list<item: string>
  child 0, item: string
evidence_values: struct<E1: string, E2: double, E3: list<item: double>, E4: int64, E5: string, E6: string, E7: string (... 337 chars omitted)
  child 0, E1: string
  child 1, E2: double
  child 2, E3: list<item: double>
      child 0, item: double
  child 3, E4: int64
  child 4, E5: string
  child 5, E6: string
  child 6, E7: string
  child 7, E8: string
  child 8, E9: string
  child 9, E10: string
  child 10, E11: string
  child 11, E12: string
  child 12, E13: string
  child 13, E14: string
  child 14, E15: string
  child 15, E16: string
  child 16, E17: string
  child 17, E18: string
  child 18, E19: string
  child 19, E20: string
  child 20, E21: string
  child 21, E22: string
  child 22, E23: string
  child 23, E24: string
  child 24, E25: string
  child 25, E26: string
  child 26, E28: string
  child 27, E27: string
  child 28, E29: string
  child 29, E30: double
  child 30, E31: double
  child 31, E32: double
  child 32, E33: double
known_names: list<item: string>
  child 0, item: string
must_mention: string
recommended: bool
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
source: string
task: string
to
{'task': Value('string'), 'source': Value('string'), 'messages': List({'role': Value('string'), 'content': 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 1827, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              question: string
              status: string
              fact_sheet: string
              template_answer: string
              evidence_ids: list<item: string>
                child 0, item: string
              evidence_values: struct<E1: string, E2: double, E3: list<item: double>, E4: int64, E5: string, E6: string, E7: string (... 337 chars omitted)
                child 0, E1: string
                child 1, E2: double
                child 2, E3: list<item: double>
                    child 0, item: double
                child 3, E4: int64
                child 4, E5: string
                child 5, E6: string
                child 6, E7: string
                child 7, E8: string
                child 8, E9: string
                child 9, E10: string
                child 10, E11: string
                child 11, E12: string
                child 12, E13: string
                child 13, E14: string
                child 14, E15: string
                child 15, E16: string
                child 16, E17: string
                child 17, E18: string
                child 18, E19: string
                child 19, E20: string
                child 20, E21: string
                child 21, E22: string
                child 22, E23: string
                child 23, E24: string
                child 24, E25: string
                child 25, E26: string
                child 26, E28: string
                child 27, E27: string
                child 28, E29: string
                child 29, E30: double
                child 30, E31: double
                child 31, E32: double
                child 32, E33: double
              known_names: list<item: string>
                child 0, item: string
              must_mention: string
              recommended: bool
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              source: string
              task: string
              to
              {'task': Value('string'), 'source': Value('string'), 'messages': List({'role': Value('string'), 'content': 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 1694, 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 1879, 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