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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
input_dir: string
output_repo: string
output_root: string
schema: string
task_source: string
task_source_alias: string
export_granularity: string
fps: int64
image_feature_dtype: string
vcodec: string
state_stream: string
action_stream: string
state_stream_key: string
action_stream_key: string
image_alignment: string
saved_fields: list<item: string>
  child 0, item: string
total_tasks: int64
data_path: string
video_path: string
data_files_size_in_mb: int64
total_frames: int64
splits: struct<train: string>
  child 0, train: string
video_files_size_in_mb: int64
robot_type: string
codebase_version: string
total_episodes: int64
features: struct<observation.images.main: struct<dtype: string, shape: list<item: int64>, names: list<item: st (... 2550 chars omitted)
  child 0, observation.images.main: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.height (... 157 chars omitted)
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: list<item: string>
          child 0, item: string
      child 3, info: struct<video.height: int64, video.width: int64, video.codec: string, video.pix_fmt: string, video.is (... 75 chars omitted)
          child 0, video.height: int64
          child 1, video.width: int64
          child 2, video.codec: string
          child 3, video.pix_fmt: string
          child 4, video.is_depth_map: bool
          child 5, video.fps: int64
          child 6
...
height: int64, video.width: int64, video.codec: string, video.pix_fmt: string, video.is (... 75 chars omitted)
          child 0, video.height: int64
          child 1, video.width: int64
          child 2, video.codec: string
          child 3, video.pix_fmt: string
          child 4, video.is_depth_map: bool
          child 5, video.fps: int64
          child 6, video.channels: int64
          child 7, has_audio: bool
  child 21, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
  child 22, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
  child 23, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
  child 24, index: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
  child 25, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
      child 0, dtype: string
      child 1, shape: list<item: int64>
          child 0, item: int64
      child 2, names: null
chunks_size: int64
to
{'codebase_version': Value('string'), 'robot_type': Value('string'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'chunks_size': Value('int64'), 'data_files_size_in_mb': Value('int64'), 'video_files_size_in_mb': Value('int64'), 'fps': Value('int64'), 'splits': {'train': Value('string')}, 'data_path': Value('string'), 'video_path': Value('string'), 'features': {'observation.images.main': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool')}}, 'observation.state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'action': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'episode.id': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'high_level_instruction': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'semantic_labels': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'language_instruction.shape_id_hole_text': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'language_instruction.structured_tracked': {'dtype': 
...
'string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'subtask.target_uv': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'subtask.trace_uv_start_end': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'subtask.source_region': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'subtask.target_region': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'subtask.trace_camera': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'observation.images.wrist': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool')}}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              input_dir: string
              output_repo: string
              output_root: string
              schema: string
              task_source: string
              task_source_alias: string
              export_granularity: string
              fps: int64
              image_feature_dtype: string
              vcodec: string
              state_stream: string
              action_stream: string
              state_stream_key: string
              action_stream_key: string
              image_alignment: string
              saved_fields: list<item: string>
                child 0, item: string
              total_tasks: int64
              data_path: string
              video_path: string
              data_files_size_in_mb: int64
              total_frames: int64
              splits: struct<train: string>
                child 0, train: string
              video_files_size_in_mb: int64
              robot_type: string
              codebase_version: string
              total_episodes: int64
              features: struct<observation.images.main: struct<dtype: string, shape: list<item: int64>, names: list<item: st (... 2550 chars omitted)
                child 0, observation.images.main: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, info: struct<video.height (... 157 chars omitted)
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: list<item: string>
                        child 0, item: string
                    child 3, info: struct<video.height: int64, video.width: int64, video.codec: string, video.pix_fmt: string, video.is (... 75 chars omitted)
                        child 0, video.height: int64
                        child 1, video.width: int64
                        child 2, video.codec: string
                        child 3, video.pix_fmt: string
                        child 4, video.is_depth_map: bool
                        child 5, video.fps: int64
                        child 6
              ...
              height: int64, video.width: int64, video.codec: string, video.pix_fmt: string, video.is (... 75 chars omitted)
                        child 0, video.height: int64
                        child 1, video.width: int64
                        child 2, video.codec: string
                        child 3, video.pix_fmt: string
                        child 4, video.is_depth_map: bool
                        child 5, video.fps: int64
                        child 6, video.channels: int64
                        child 7, has_audio: bool
                child 21, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 22, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 23, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 24, index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
                child 25, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
                    child 0, dtype: string
                    child 1, shape: list<item: int64>
                        child 0, item: int64
                    child 2, names: null
              chunks_size: int64
              to
              {'codebase_version': Value('string'), 'robot_type': Value('string'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'chunks_size': Value('int64'), 'data_files_size_in_mb': Value('int64'), 'video_files_size_in_mb': Value('int64'), 'fps': Value('int64'), 'splits': {'train': Value('string')}, 'data_path': Value('string'), 'video_path': Value('string'), 'features': {'observation.images.main': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool')}}, 'observation.state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'action': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'episode.id': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'high_level_instruction': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'semantic_labels': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'language_instruction.shape_id_hole_text': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'language_instruction.structured_tracked': {'dtype': 
              ...
              'string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'subtask.target_uv': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'subtask.trace_uv_start_end': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string'))}, 'subtask.source_region': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'subtask.target_region': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'subtask.trace_camera': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'observation.images.wrist': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool')}}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}}}
              because column names don't match

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