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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
codebase_version: string
robot_type: string
fps: double
total_episodes: int64
features: struct<timestamp: struct<dtype: string, shape: list<item: null>>, observation.state: struct<dtype: s (... 329 chars omitted)
  child 0, timestamp: struct<dtype: string, shape: list<item: null>>
      child 0, dtype: string
      child 1, shape: list<item: null>
          child 0, item: null
  child 1, observation.state: struct<dtype: string, shape: list<item: int64>>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
  child 2, task_index: struct<dtype: string, shape: list<item: null>>
      child 0, dtype: string
      child 1, shape: list<item: null>
          child 0, item: null
  child 3, index: struct<dtype: string, shape: list<item: null>>
      child 0, dtype: string
      child 1, shape: list<item: null>
          child 0, item: null
  child 4, action: struct<dtype: string, shape: list<item: int64>>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
  child 5, episode_index: struct<dtype: string, shape: list<item: null>>
      child 0, dtype: string
      child 1, shape: list<item: null>
          child 0, item: null
  child 6, frame_index: struct<dtype: string, shape: list<item: null>>
      child 0, dtype: string
      child 1, shape: list<item: null>
          child 0, item: null
video: struct<video_feed_workspace_front: struct<fps: double, height: int64, width: int64>, video_feed_work (... 129 chars omitted)
  child 0, video_feed_workspace_front: struct<fps: double, height: int64, width: int64>
      child 0, fps: double
      child 1, height: int64
      child 2, width: int64
  child 1, video_feed_workspace_side: struct<fps: double, height: int64, width: int64>
      child 0, fps: double
      child 1, height: int64
      child 2, width: int64
  child 2, video_feed_wrist: struct<fps: double, height: int64, width: int64>
      child 0, fps: double
      child 1, height: int64
      child 2, width: int64
episode_index: int64
parquet_offset: int64
tasks: list<item: string>
  child 0, item: string
frame_count: int64
duration: double
start_timestamp: double
end_timestamp: double
parquet_length: int64
video_offsets: struct<video_feed_workspace_front: struct<file: string, frame_start: int64, frame_count: int64>, vid (... 165 chars omitted)
  child 0, video_feed_workspace_front: struct<file: string, frame_start: int64, frame_count: int64>
      child 0, file: string
      child 1, frame_start: int64
      child 2, frame_count: int64
  child 1, video_feed_workspace_side: struct<file: string, frame_start: int64, frame_count: int64>
      child 0, file: string
      child 1, frame_start: int64
      child 2, frame_count: int64
  child 2, video_feed_wrist: struct<file: string, frame_start: int64, frame_count: int64>
      child 0, file: string
      child 1, frame_start: int64
      child 2, frame_count: int64
to
{'episode_index': Value('int64'), 'tasks': List(Value('string')), 'start_timestamp': Value('float64'), 'end_timestamp': Value('float64'), 'duration': Value('float64'), 'frame_count': Value('int64'), 'parquet_offset': Value('int64'), 'parquet_length': Value('int64'), 'video_offsets': {'video_feed_workspace_front': {'file': Value('string'), 'frame_start': Value('int64'), 'frame_count': Value('int64')}, 'video_feed_workspace_side': {'file': Value('string'), 'frame_start': Value('int64'), 'frame_count': Value('int64')}, 'video_feed_wrist': {'file': Value('string'), 'frame_start': Value('int64'), 'frame_count': Value('int64')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 478, 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
              codebase_version: string
              robot_type: string
              fps: double
              total_episodes: int64
              features: struct<timestamp: struct<dtype: string, shape: list<item: null>>, observation.state: struct<dtype: s (... 329 chars omitted)
                child 0, timestamp: struct<dtype: string, shape: list<item: null>>
                    child 0, dtype: string
                    child 1, shape: list<item: null>
                        child 0, item: null
                child 1, observation.state: struct<dtype: string, shape: list<item: int64>>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                child 2, task_index: struct<dtype: string, shape: list<item: null>>
                    child 0, dtype: string
                    child 1, shape: list<item: null>
                        child 0, item: null
                child 3, index: struct<dtype: string, shape: list<item: null>>
                    child 0, dtype: string
                    child 1, shape: list<item: null>
                        child 0, item: null
                child 4, action: struct<dtype: string, shape: list<item: int64>>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                child 5, episode_index: struct<dtype: string, shape: list<item: null>>
                    child 0, dtype: string
                    child 1, shape: list<item: null>
                        child 0, item: null
                child 6, frame_index: struct<dtype: string, shape: list<item: null>>
                    child 0, dtype: string
                    child 1, shape: list<item: null>
                        child 0, item: null
              video: struct<video_feed_workspace_front: struct<fps: double, height: int64, width: int64>, video_feed_work (... 129 chars omitted)
                child 0, video_feed_workspace_front: struct<fps: double, height: int64, width: int64>
                    child 0, fps: double
                    child 1, height: int64
                    child 2, width: int64
                child 1, video_feed_workspace_side: struct<fps: double, height: int64, width: int64>
                    child 0, fps: double
                    child 1, height: int64
                    child 2, width: int64
                child 2, video_feed_wrist: struct<fps: double, height: int64, width: int64>
                    child 0, fps: double
                    child 1, height: int64
                    child 2, width: int64
              episode_index: int64
              parquet_offset: int64
              tasks: list<item: string>
                child 0, item: string
              frame_count: int64
              duration: double
              start_timestamp: double
              end_timestamp: double
              parquet_length: int64
              video_offsets: struct<video_feed_workspace_front: struct<file: string, frame_start: int64, frame_count: int64>, vid (... 165 chars omitted)
                child 0, video_feed_workspace_front: struct<file: string, frame_start: int64, frame_count: int64>
                    child 0, file: string
                    child 1, frame_start: int64
                    child 2, frame_count: int64
                child 1, video_feed_workspace_side: struct<file: string, frame_start: int64, frame_count: int64>
                    child 0, file: string
                    child 1, frame_start: int64
                    child 2, frame_count: int64
                child 2, video_feed_wrist: struct<file: string, frame_start: int64, frame_count: int64>
                    child 0, file: string
                    child 1, frame_start: int64
                    child 2, frame_count: int64
              to
              {'episode_index': Value('int64'), 'tasks': List(Value('string')), 'start_timestamp': Value('float64'), 'end_timestamp': Value('float64'), 'duration': Value('float64'), 'frame_count': Value('int64'), 'parquet_offset': Value('int64'), 'parquet_length': Value('int64'), 'video_offsets': {'video_feed_workspace_front': {'file': Value('string'), 'frame_start': Value('int64'), 'frame_count': Value('int64')}, 'video_feed_workspace_side': {'file': Value('string'), 'frame_start': Value('int64'), 'frame_count': Value('int64')}, 'video_feed_wrist': {'file': Value('string'), 'frame_start': Value('int64'), 'frame_count': Value('int64')}}}
              because column names don't match

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