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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
artifact: struct<probe: struct<decoded_frames: int64, fps: double, height: int64, width: int64>, video: string (... 42 chars omitted)
  child 0, probe: struct<decoded_frames: int64, fps: double, height: int64, width: int64>
      child 0, decoded_frames: int64
      child 1, fps: double
      child 2, height: int64
      child 3, width: int64
  child 1, video: string
  child 2, video_sha256: string
  child 3, video_size: int64
canonical: struct<meta_crc32: string, meta_member: string, meta_sha256: string, parquet_crc32: string, parquet_ (... 57 chars omitted)
  child 0, meta_crc32: string
  child 1, meta_member: string
  child 2, meta_sha256: string
  child 3, parquet_crc32: string
  child 4, parquet_member: string
  child 5, parquet_sha256: string
  child 6, zip_path: string
claim_boundary: string
dataset: string
episode_index: int64
model_view: struct<action_valid_values: int64, active_slots: list<item: int64>, camera_valid_frames: int64, cano (... 126 chars omitted)
  child 0, action_valid_values: int64
  child 1, active_slots: list<item: int64>
      child 0, item: int64
  child 2, camera_valid_frames: int64
  child 3, canonical_frame_index: list<item: int64>
      child 0, item: int64
  child 4, contiguous_sampled_transitions: int64
  child 5, normalization: string
  child 6, state_valid_values: int64
numeric_threshold_met: bool
numeric_window: struct<base_rule: string, display_stride: int64, end_exclusive: int64, physical_end_sec: double, phy (... 884 chars omitted)
  c
...
ames: int64
          child 1, position_error_m_max: double
          child 2, rotation_error_deg_max: double
          child 3, state_gripper_valid_frames: int64
      child 1, right: struct<action_target_gripper_valid_frames: int64, position_error_m_max: double, rotation_error_deg_m (... 46 chars omitted)
          child 0, action_target_gripper_valid_frames: int64
          child 1, position_error_m_max: double
          child 2, rotation_error_deg_max: double
          child 3, state_gripper_valid_frames: int64
  child 5, state_gripper_circle: string
  child 6, training_cache_parity_claimed: bool
schema: string
selection_order: int64
selection_rule_id: string
source: struct<video_compressed_size: int64, video_crc32: string, video_index_column: string, video_indices: (... 108 chars omitted)
  child 0, video_compressed_size: int64
  child 1, video_crc32: string
  child 2, video_index_column: string
  child 3, video_indices: list<item: int64>
      child 0, item: int64
  child 4, video_member: string
  child 5, video_payload_sha256: string
  child 6, video_size: int64
  child 7, zip_path: string
stage: string
files: list<item: struct<mime_type: string, path: string, sha256: string, size: int64>>
  child 0, item: struct<mime_type: string, path: string, sha256: string, size: int64>
      child 0, mime_type: string
      child 1, path: string
      child 2, sha256: string
      child 3, size: int64
file_count: int64
release_id: string
total_bytes: int64
created_at: timestamp[s]
to
{'claim_boundary': Value('string'), 'created_at': Value('timestamp[s]'), 'file_count': Value('int64'), 'files': List({'mime_type': Value('string'), 'path': Value('string'), 'sha256': Value('string'), 'size': Value('int64')}), 'release_id': Value('string'), 'schema': Value('string'), 'total_bytes': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                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
              artifact: struct<probe: struct<decoded_frames: int64, fps: double, height: int64, width: int64>, video: string (... 42 chars omitted)
                child 0, probe: struct<decoded_frames: int64, fps: double, height: int64, width: int64>
                    child 0, decoded_frames: int64
                    child 1, fps: double
                    child 2, height: int64
                    child 3, width: int64
                child 1, video: string
                child 2, video_sha256: string
                child 3, video_size: int64
              canonical: struct<meta_crc32: string, meta_member: string, meta_sha256: string, parquet_crc32: string, parquet_ (... 57 chars omitted)
                child 0, meta_crc32: string
                child 1, meta_member: string
                child 2, meta_sha256: string
                child 3, parquet_crc32: string
                child 4, parquet_member: string
                child 5, parquet_sha256: string
                child 6, zip_path: string
              claim_boundary: string
              dataset: string
              episode_index: int64
              model_view: struct<action_valid_values: int64, active_slots: list<item: int64>, camera_valid_frames: int64, cano (... 126 chars omitted)
                child 0, action_valid_values: int64
                child 1, active_slots: list<item: int64>
                    child 0, item: int64
                child 2, camera_valid_frames: int64
                child 3, canonical_frame_index: list<item: int64>
                    child 0, item: int64
                child 4, contiguous_sampled_transitions: int64
                child 5, normalization: string
                child 6, state_valid_values: int64
              numeric_threshold_met: bool
              numeric_window: struct<base_rule: string, display_stride: int64, end_exclusive: int64, physical_end_sec: double, phy (... 884 chars omitted)
                c
              ...
              ames: int64
                        child 1, position_error_m_max: double
                        child 2, rotation_error_deg_max: double
                        child 3, state_gripper_valid_frames: int64
                    child 1, right: struct<action_target_gripper_valid_frames: int64, position_error_m_max: double, rotation_error_deg_m (... 46 chars omitted)
                        child 0, action_target_gripper_valid_frames: int64
                        child 1, position_error_m_max: double
                        child 2, rotation_error_deg_max: double
                        child 3, state_gripper_valid_frames: int64
                child 5, state_gripper_circle: string
                child 6, training_cache_parity_claimed: bool
              schema: string
              selection_order: int64
              selection_rule_id: string
              source: struct<video_compressed_size: int64, video_crc32: string, video_index_column: string, video_indices: (... 108 chars omitted)
                child 0, video_compressed_size: int64
                child 1, video_crc32: string
                child 2, video_index_column: string
                child 3, video_indices: list<item: int64>
                    child 0, item: int64
                child 4, video_member: string
                child 5, video_payload_sha256: string
                child 6, video_size: int64
                child 7, zip_path: string
              stage: string
              files: list<item: struct<mime_type: string, path: string, sha256: string, size: int64>>
                child 0, item: struct<mime_type: string, path: string, sha256: string, size: int64>
                    child 0, mime_type: string
                    child 1, path: string
                    child 2, sha256: string
                    child 3, size: int64
              file_count: int64
              release_id: string
              total_bytes: int64
              created_at: timestamp[s]
              to
              {'claim_boundary': Value('string'), 'created_at': Value('timestamp[s]'), 'file_count': Value('int64'), 'files': List({'mime_type': Value('string'), 'path': Value('string'), 'sha256': Value('string'), 'size': Value('int64')}), 'release_id': Value('string'), 'schema': Value('string'), 'total_bytes': Value('int64')}
              because column names don't match

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