Datasets:

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
cleanup_every_files: int64
cleanup_every_gb: double
drive_sync_sleep_seconds: int64
error_count: int64
errors: list<item: null>
  child 0, item: null
frame_timeline_count: int64
frame_timeline_policy: string
frame_timeline_status_counts: struct<disabled: int64, pass: int64, unavailable: int64>
  child 0, disabled: int64
  child 1, pass: int64
  child 2, unavailable: int64
inventory_path: string
metadata_count: int64
metadata_generated_count: int64
metadata_schema_version: string
min_free_gb: double
missing_metadata_path: string
organizer_metadata_present_count: int64
overwrite: bool
probe_status_counts: struct<failed: int64, partial: int64, pass: int64>
  child 0, failed: int64
  child 1, partial: int64
  child 2, pass: int64
progress_path: string
raw_import_id: string
raw_repo_id: string
repo_type: string
resume: bool
revision: string
scratch_dir: string
source_dir: string
status: string
stream_batch_file_limit: int64
stream_batch_max_bytes: int64
timeline_workers_requested: string
timeline_workers_resolved: int64
timings: struct<completed_pairs_per_minute: double, extract_sec_total: double, metadata_sec_total: double, pa (... 85 chars omitted)
  child 0, completed_pairs_per_minute: double
  child 1, extract_sec_total: double
  child 2, metadata_sec_total: double
  child 3, pair_processing_wall_sec: double
  child 4, timeline_sec_total: double
  child 5, upload_sec_total: double
unmatched_metadata_path: string
upload_method: string
uploaded_pair_count: int64
video_count: int64
zip_count: int64
metadata_path: string
metadata_upload_status: string
video_filename: string
frame_timeline_upload_status: string
video_upload_status: string
video_size_bytes: int64
video_id: string
frame_timeline_filename: string
frame_timeline_path: string
frame_timeline_row_count: int64
metadata_generated: bool
video_path: string
frame_timeline_status: string
frame_timeline_size_bytes: int64
metadata_size_bytes: int64
organizer_metadata_present: bool
metadata_filename: string
to
{'frame_timeline_filename': Value('string'), 'frame_timeline_path': Value('string'), 'frame_timeline_row_count': Value('int64'), 'frame_timeline_size_bytes': Value('int64'), 'frame_timeline_status': Value('string'), 'frame_timeline_upload_status': Value('string'), 'metadata_filename': Value('string'), 'metadata_generated': Value('bool'), 'metadata_path': Value('string'), 'metadata_schema_version': Value('string'), 'metadata_size_bytes': Value('int64'), 'metadata_upload_status': Value('string'), 'organizer_metadata_present': Value('bool'), 'raw_import_id': Value('string'), 'raw_repo_id': Value('string'), 'status': Value('string'), 'video_filename': Value('string'), 'video_id': Value('string'), 'video_path': Value('string'), 'video_size_bytes': Value('int64'), 'video_upload_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
              cleanup_every_files: int64
              cleanup_every_gb: double
              drive_sync_sleep_seconds: int64
              error_count: int64
              errors: list<item: null>
                child 0, item: null
              frame_timeline_count: int64
              frame_timeline_policy: string
              frame_timeline_status_counts: struct<disabled: int64, pass: int64, unavailable: int64>
                child 0, disabled: int64
                child 1, pass: int64
                child 2, unavailable: int64
              inventory_path: string
              metadata_count: int64
              metadata_generated_count: int64
              metadata_schema_version: string
              min_free_gb: double
              missing_metadata_path: string
              organizer_metadata_present_count: int64
              overwrite: bool
              probe_status_counts: struct<failed: int64, partial: int64, pass: int64>
                child 0, failed: int64
                child 1, partial: int64
                child 2, pass: int64
              progress_path: string
              raw_import_id: string
              raw_repo_id: string
              repo_type: string
              resume: bool
              revision: string
              scratch_dir: string
              source_dir: string
              status: string
              stream_batch_file_limit: int64
              stream_batch_max_bytes: int64
              timeline_workers_requested: string
              timeline_workers_resolved: int64
              timings: struct<completed_pairs_per_minute: double, extract_sec_total: double, metadata_sec_total: double, pa (... 85 chars omitted)
                child 0, completed_pairs_per_minute: double
                child 1, extract_sec_total: double
                child 2, metadata_sec_total: double
                child 3, pair_processing_wall_sec: double
                child 4, timeline_sec_total: double
                child 5, upload_sec_total: double
              unmatched_metadata_path: string
              upload_method: string
              uploaded_pair_count: int64
              video_count: int64
              zip_count: int64
              metadata_path: string
              metadata_upload_status: string
              video_filename: string
              frame_timeline_upload_status: string
              video_upload_status: string
              video_size_bytes: int64
              video_id: string
              frame_timeline_filename: string
              frame_timeline_path: string
              frame_timeline_row_count: int64
              metadata_generated: bool
              video_path: string
              frame_timeline_status: string
              frame_timeline_size_bytes: int64
              metadata_size_bytes: int64
              organizer_metadata_present: bool
              metadata_filename: string
              to
              {'frame_timeline_filename': Value('string'), 'frame_timeline_path': Value('string'), 'frame_timeline_row_count': Value('int64'), 'frame_timeline_size_bytes': Value('int64'), 'frame_timeline_status': Value('string'), 'frame_timeline_upload_status': Value('string'), 'metadata_filename': Value('string'), 'metadata_generated': Value('bool'), 'metadata_path': Value('string'), 'metadata_schema_version': Value('string'), 'metadata_size_bytes': Value('int64'), 'metadata_upload_status': Value('string'), 'organizer_metadata_present': Value('bool'), 'raw_import_id': Value('string'), 'raw_repo_id': Value('string'), 'status': Value('string'), 'video_filename': Value('string'), 'video_id': Value('string'), 'video_path': Value('string'), 'video_size_bytes': Value('int64'), 'video_upload_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 1880, 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