Datasets:

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
query_id: string
fact_id: string
relation: string
condition_family: string
variant_id: string
language: string
query: string
target_slot: string
gold_canonical: string
gold_aliases: list<item: string>
  child 0, item: string
answer_type: string
answer_granularity: string
is_assisted: bool
is_well_posed: bool
use_for_main_forward: bool
use_for_reverse_analysis: bool
use_for_recognition_analysis: bool
source_template_id: string
legacy_query_refs: list<item: struct<kid: string, qid: string, file: string>>
  child 0, item: struct<kid: string, qid: string, file: string>
      child 0, kid: string
      child 1, qid: string
      child 2, file: string
answer_in_subject_surface: bool
context_kind: string
to
{'query_id': Value('string'), 'fact_id': Value('string'), 'relation': Value('string'), 'condition_family': Value('string'), 'variant_id': Value('string'), 'language': Value('string'), 'query': Value('string'), 'target_slot': Value('string'), 'gold_canonical': Value('string'), 'gold_aliases': List(Value('string')), 'answer_type': Value('string'), 'answer_granularity': Value('string'), 'is_assisted': Value('bool'), 'is_well_posed': Value('bool'), 'use_for_main_forward': Value('bool'), 'use_for_reverse_analysis': Value('bool'), 'use_for_recognition_analysis': Value('bool'), 'source_template_id': Value('string'), 'legacy_query_refs': List({'kid': Value('string'), 'qid': Value('string'), 'file': Value('string')}), 'answer_in_subject_surface': Value('bool')}
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
              query_id: string
              fact_id: string
              relation: string
              condition_family: string
              variant_id: string
              language: string
              query: string
              target_slot: string
              gold_canonical: string
              gold_aliases: list<item: string>
                child 0, item: string
              answer_type: string
              answer_granularity: string
              is_assisted: bool
              is_well_posed: bool
              use_for_main_forward: bool
              use_for_reverse_analysis: bool
              use_for_recognition_analysis: bool
              source_template_id: string
              legacy_query_refs: list<item: struct<kid: string, qid: string, file: string>>
                child 0, item: struct<kid: string, qid: string, file: string>
                    child 0, kid: string
                    child 1, qid: string
                    child 2, file: string
              answer_in_subject_surface: bool
              context_kind: string
              to
              {'query_id': Value('string'), 'fact_id': Value('string'), 'relation': Value('string'), 'condition_family': Value('string'), 'variant_id': Value('string'), 'language': Value('string'), 'query': Value('string'), 'target_slot': Value('string'), 'gold_canonical': Value('string'), 'gold_aliases': List(Value('string')), 'answer_type': Value('string'), 'answer_granularity': Value('string'), 'is_assisted': Value('bool'), 'is_well_posed': Value('bool'), 'use_for_main_forward': Value('bool'), 'use_for_reverse_analysis': Value('bool'), 'use_for_recognition_analysis': Value('bool'), 'source_template_id': Value('string'), 'legacy_query_refs': List({'kid': Value('string'), 'qid': Value('string'), 'file': Value('string')}), 'answer_in_subject_surface': Value('bool')}
              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