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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
video_id: string
segments: struct<segment_1: struct<start_time: double, end_time: double, text: string>, segment_2: struct<star (... 19435 chars omitted)
  child 0, segment_1: struct<start_time: double, end_time: double, text: string>
      child 0, start_time: double
      child 1, end_time: double
      child 2, text: string
  child 1, segment_2: struct<start_time: double, end_time: double, text: string>
      child 0, start_time: double
      child 1, end_time: double
      child 2, text: string
  child 2, segment_3: struct<start_time: double, end_time: double, text: string>
      child 0, start_time: double
      child 1, end_time: double
      child 2, text: string
  child 3, segment_4: struct<start_time: double, end_time: double, text: string>
      child 0, start_time: double
      child 1, end_time: double
      child 2, text: string
  child 4, segment_5: struct<start_time: double, end_time: double, text: string>
      child 0, start_time: double
      child 1, end_time: double
      child 2, text: string
  child 5, segment_6: struct<start_time: double, end_time: double, text: string>
      child 0, start_time: double
      child 1, end_time: double
      child 2, text: string
  child 6, segment_7: struct<start_time: double, end_time: double, text: string>
      child 0, start_time: double
      child 1, end_time: double
      child 2, text: string
  child 7, segment_8: struct<start_time: double, end_time: double, text: string>
      child 0, start_time: double
      
...
.. 14 chars omitted)
      child 0, fx: double
      child 1, fy: double
      child 2, cx: double
      child 3, cy: double
      child 4, k1: double
      child 5, k2: double
      child 6, p1: double
      child 7, p2: double
      child 8, k3: double
  child 4, image_size: list<item: int64>
      child 0, item: int64
  child 5, calibration_error: double
image_size: list<item: int64>
  child 0, item: int64
right: struct<camera_matrix: list<item: list<item: double>>, distortion_model: string, distortion_coefficie (... 210 chars omitted)
  child 0, camera_matrix: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
  child 1, distortion_model: string
  child 2, distortion_coefficients: list<item: double>
      child 0, item: double
  child 3, intrinsics: struct<fx: double, fy: double, cx: double, cy: double, k1: double, k2: double, p1: double, p2: doubl (... 14 chars omitted)
      child 0, fx: double
      child 1, fy: double
      child 2, cx: double
      child 3, cy: double
      child 4, k1: double
      child 5, k2: double
      child 6, p1: double
      child 7, p2: double
      child 8, k3: double
  child 4, image_size: list<item: int64>
      child 0, item: int64
  child 5, calibration_error: double
chessboard: struct<pattern_size: list<item: int64>, square_size_mm: double>
  child 0, pattern_size: list<item: int64>
      child 0, item: int64
  child 1, square_size_mm: double
calibration_source: string
device: string
to
{'device': Value('string'), 'calibration_source': Value('string'), 'image_size': List(Value('int64')), 'chessboard': {'pattern_size': List(Value('int64')), 'square_size_mm': Value('float64')}, 'left': {'camera_matrix': List(List(Value('float64'))), 'distortion_model': Value('string'), 'distortion_coefficients': List(Value('float64')), 'intrinsics': {'fx': Value('float64'), 'fy': Value('float64'), 'cx': Value('float64'), 'cy': Value('float64'), 'k1': Value('float64'), 'k2': Value('float64'), 'p1': Value('float64'), 'p2': Value('float64'), 'k3': Value('float64')}, 'image_size': List(Value('int64')), 'calibration_error': Value('float64')}, 'right': {'camera_matrix': List(List(Value('float64'))), 'distortion_model': Value('string'), 'distortion_coefficients': List(Value('float64')), 'intrinsics': {'fx': Value('float64'), 'fy': Value('float64'), 'cx': Value('float64'), 'cy': Value('float64'), 'k1': Value('float64'), 'k2': Value('float64'), 'p1': Value('float64'), 'p2': Value('float64'), 'k3': Value('float64')}, 'image_size': List(Value('int64')), 'calibration_error': Value('float64')}, 'stereo': {'rotation': List(List(Value('float64'))), 'translation': List(Value('float64')), 'baseline_mm': Value('float64'), 'rms_error': Value('float64'), 'rectification': {'left_rectification': List(List(Value('float64'))), 'right_rectification': List(List(Value('float64'))), 'left_projection': List(List(Value('float64'))), 'right_projection': List(List(Value('float64'))), 'disparity_to_depth': List(List(Value('float64')))}}}
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
              video_id: string
              segments: struct<segment_1: struct<start_time: double, end_time: double, text: string>, segment_2: struct<star (... 19435 chars omitted)
                child 0, segment_1: struct<start_time: double, end_time: double, text: string>
                    child 0, start_time: double
                    child 1, end_time: double
                    child 2, text: string
                child 1, segment_2: struct<start_time: double, end_time: double, text: string>
                    child 0, start_time: double
                    child 1, end_time: double
                    child 2, text: string
                child 2, segment_3: struct<start_time: double, end_time: double, text: string>
                    child 0, start_time: double
                    child 1, end_time: double
                    child 2, text: string
                child 3, segment_4: struct<start_time: double, end_time: double, text: string>
                    child 0, start_time: double
                    child 1, end_time: double
                    child 2, text: string
                child 4, segment_5: struct<start_time: double, end_time: double, text: string>
                    child 0, start_time: double
                    child 1, end_time: double
                    child 2, text: string
                child 5, segment_6: struct<start_time: double, end_time: double, text: string>
                    child 0, start_time: double
                    child 1, end_time: double
                    child 2, text: string
                child 6, segment_7: struct<start_time: double, end_time: double, text: string>
                    child 0, start_time: double
                    child 1, end_time: double
                    child 2, text: string
                child 7, segment_8: struct<start_time: double, end_time: double, text: string>
                    child 0, start_time: double
                    
              ...
              .. 14 chars omitted)
                    child 0, fx: double
                    child 1, fy: double
                    child 2, cx: double
                    child 3, cy: double
                    child 4, k1: double
                    child 5, k2: double
                    child 6, p1: double
                    child 7, p2: double
                    child 8, k3: double
                child 4, image_size: list<item: int64>
                    child 0, item: int64
                child 5, calibration_error: double
              image_size: list<item: int64>
                child 0, item: int64
              right: struct<camera_matrix: list<item: list<item: double>>, distortion_model: string, distortion_coefficie (... 210 chars omitted)
                child 0, camera_matrix: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
                child 1, distortion_model: string
                child 2, distortion_coefficients: list<item: double>
                    child 0, item: double
                child 3, intrinsics: struct<fx: double, fy: double, cx: double, cy: double, k1: double, k2: double, p1: double, p2: doubl (... 14 chars omitted)
                    child 0, fx: double
                    child 1, fy: double
                    child 2, cx: double
                    child 3, cy: double
                    child 4, k1: double
                    child 5, k2: double
                    child 6, p1: double
                    child 7, p2: double
                    child 8, k3: double
                child 4, image_size: list<item: int64>
                    child 0, item: int64
                child 5, calibration_error: double
              chessboard: struct<pattern_size: list<item: int64>, square_size_mm: double>
                child 0, pattern_size: list<item: int64>
                    child 0, item: int64
                child 1, square_size_mm: double
              calibration_source: string
              device: string
              to
              {'device': Value('string'), 'calibration_source': Value('string'), 'image_size': List(Value('int64')), 'chessboard': {'pattern_size': List(Value('int64')), 'square_size_mm': Value('float64')}, 'left': {'camera_matrix': List(List(Value('float64'))), 'distortion_model': Value('string'), 'distortion_coefficients': List(Value('float64')), 'intrinsics': {'fx': Value('float64'), 'fy': Value('float64'), 'cx': Value('float64'), 'cy': Value('float64'), 'k1': Value('float64'), 'k2': Value('float64'), 'p1': Value('float64'), 'p2': Value('float64'), 'k3': Value('float64')}, 'image_size': List(Value('int64')), 'calibration_error': Value('float64')}, 'right': {'camera_matrix': List(List(Value('float64'))), 'distortion_model': Value('string'), 'distortion_coefficients': List(Value('float64')), 'intrinsics': {'fx': Value('float64'), 'fy': Value('float64'), 'cx': Value('float64'), 'cy': Value('float64'), 'k1': Value('float64'), 'k2': Value('float64'), 'p1': Value('float64'), 'p2': Value('float64'), 'k3': Value('float64')}, 'image_size': List(Value('int64')), 'calibration_error': Value('float64')}, 'stereo': {'rotation': List(List(Value('float64'))), 'translation': List(Value('float64')), 'baseline_mm': Value('float64'), 'rms_error': Value('float64'), 'rectification': {'left_rectification': List(List(Value('float64'))), 'right_rectification': List(List(Value('float64'))), 'left_projection': List(List(Value('float64'))), 'right_projection': List(List(Value('float64'))), 'disparity_to_depth': List(List(Value('float64')))}}}
              because column names don't match

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