Datasets:

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VideoSearchR1

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VideoSearchR1 1

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
problem_id: int64
qid: string
problem: string
data_type: string
problem_type: string
options: list<item: string>
  child 0, item: string
solution: string
path: string
data_source: string
query: string
gt_video: string
gt_time: list<item: double>
  child 0, item: double
gt_duration: double
retrieved_video: string
label: string
hard_negative_ids: list<item: string>
  child 0, item: string
hard_negative_scores: list<item: double>
  child 0, item: double
hard_negative_ranks: list<item: int64>
  child 0, item: int64
is_augmented: bool
augmentation_type: string
source_label: string
source_retrieved_video: string
to
{'problem_id': Value('int64'), 'qid': Value('string'), 'problem': Value('string'), 'data_type': Value('string'), 'problem_type': Value('string'), 'options': List(Value('string')), 'solution': Value('string'), 'path': Value('string'), 'data_source': Value('string'), 'query': Value('string'), 'gt_video': Value('string'), 'gt_time': List(Value('float64')), 'gt_duration': Value('float64'), 'retrieved_video': Value('string'), 'label': Value('string'), 'hard_negative_ids': List(Value('string')), 'hard_negative_scores': List(Value('float64')), 'hard_negative_ranks': List(Value('int64')), 'is_augmented': 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
              problem_id: int64
              qid: string
              problem: string
              data_type: string
              problem_type: string
              options: list<item: string>
                child 0, item: string
              solution: string
              path: string
              data_source: string
              query: string
              gt_video: string
              gt_time: list<item: double>
                child 0, item: double
              gt_duration: double
              retrieved_video: string
              label: string
              hard_negative_ids: list<item: string>
                child 0, item: string
              hard_negative_scores: list<item: double>
                child 0, item: double
              hard_negative_ranks: list<item: int64>
                child 0, item: int64
              is_augmented: bool
              augmentation_type: string
              source_label: string
              source_retrieved_video: string
              to
              {'problem_id': Value('int64'), 'qid': Value('string'), 'problem': Value('string'), 'data_type': Value('string'), 'problem_type': Value('string'), 'options': List(Value('string')), 'solution': Value('string'), 'path': Value('string'), 'data_source': Value('string'), 'query': Value('string'), 'gt_video': Value('string'), 'gt_time': List(Value('float64')), 'gt_duration': Value('float64'), 'retrieved_video': Value('string'), 'label': Value('string'), 'hard_negative_ids': List(Value('string')), 'hard_negative_scores': List(Value('float64')), 'hard_negative_ranks': List(Value('int64')), 'is_augmented': 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