Datasets:

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
delivery_id: string
source_id: string
experiment_id: string
task: string
question: string
answer: string
answer_type: string
confidence: double
grounding: struct<category: string, bowling_arm: string, ball_release_t_clip: double, trunk_tilt_release_deg: d (... 345 chars omitted)
  child 0, category: string
  child 1, bowling_arm: string
  child 2, ball_release_t_clip: double
  child 3, trunk_tilt_release_deg: double
  child 4, elbow_angle_release_deg: double
  child 5, run_up_start: double
  child 6, front_foot_contact: double
  child 7, ball_release: double
  child 8, followthrough_end: double
  child 9, front_knee_angle_ffc_deg: double
  child 10, front_knee_angle_release_deg: double
  child 11, ball_bounce_t_clip: double
  child 12, bat_ball_contact_t_clip: double
  child 13, back_foot_contact: double
  child 14, ball_bounce: double
  child 15, bat_ball_contact: double
media: struct<video: string, annotated_video: string, clip_start_s: double, clip_end_s: double>
  child 0, video: string
  child 1, annotated_video: string
  child 2, clip_start_s: double
  child 3, clip_end_s: double
context: struct<category: string, time_scale: double, qc_status: string, annotation_status: string>
  child 0, category: string
  child 1, time_scale: double
  child 2, qc_status: string
  child 3, annotation_status: string
provenance: struct<generator: string, pipeline_version: string, models: struct<pose: string, ball: string, devic (... 114 chars omitted)
  child 0, generator: string
  child 1, pipeline_version: string
  child 2, models: struct<pose: string, ball: string, device: string, half: bool, format: string>
      child 0, pose: string
      child 1, ball: string
      child 2, device: string
      child 3, half: bool
      child 4, format: string
  child 3, ontology_version: string
  child 4, measurement_space: string
  child 5, review_state: string
rights: struct<training_allowed: bool, rights_basis: string>
  child 0, training_allowed: bool
  child 1, rights_basis: string
clip: string
annotated: string
annotation_status: string
to
{'delivery_id': Value('string'), 'source_id': Value('string'), 'clip': Value('string'), 'annotated': Value('string'), 'annotation_status': 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
              id: string
              delivery_id: string
              source_id: string
              experiment_id: string
              task: string
              question: string
              answer: string
              answer_type: string
              confidence: double
              grounding: struct<category: string, bowling_arm: string, ball_release_t_clip: double, trunk_tilt_release_deg: d (... 345 chars omitted)
                child 0, category: string
                child 1, bowling_arm: string
                child 2, ball_release_t_clip: double
                child 3, trunk_tilt_release_deg: double
                child 4, elbow_angle_release_deg: double
                child 5, run_up_start: double
                child 6, front_foot_contact: double
                child 7, ball_release: double
                child 8, followthrough_end: double
                child 9, front_knee_angle_ffc_deg: double
                child 10, front_knee_angle_release_deg: double
                child 11, ball_bounce_t_clip: double
                child 12, bat_ball_contact_t_clip: double
                child 13, back_foot_contact: double
                child 14, ball_bounce: double
                child 15, bat_ball_contact: double
              media: struct<video: string, annotated_video: string, clip_start_s: double, clip_end_s: double>
                child 0, video: string
                child 1, annotated_video: string
                child 2, clip_start_s: double
                child 3, clip_end_s: double
              context: struct<category: string, time_scale: double, qc_status: string, annotation_status: string>
                child 0, category: string
                child 1, time_scale: double
                child 2, qc_status: string
                child 3, annotation_status: string
              provenance: struct<generator: string, pipeline_version: string, models: struct<pose: string, ball: string, devic (... 114 chars omitted)
                child 0, generator: string
                child 1, pipeline_version: string
                child 2, models: struct<pose: string, ball: string, device: string, half: bool, format: string>
                    child 0, pose: string
                    child 1, ball: string
                    child 2, device: string
                    child 3, half: bool
                    child 4, format: string
                child 3, ontology_version: string
                child 4, measurement_space: string
                child 5, review_state: string
              rights: struct<training_allowed: bool, rights_basis: string>
                child 0, training_allowed: bool
                child 1, rights_basis: string
              clip: string
              annotated: string
              annotation_status: string
              to
              {'delivery_id': Value('string'), 'source_id': Value('string'), 'clip': Value('string'), 'annotated': Value('string'), 'annotation_status': 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