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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
schema_version: string
source: string
pixel_format: string
depth_format: string
created_at: timestamp[s]
created_by: string
pipeline_sha: string
qa_status: string
scene_id: string
episode_id: string
fps: int64
video: bool
encoding: struct<vcodec: string>
  child 0, vcodec: string
dataset: string
codebase_version: string
frame_size: list<item: int64>
  child 0, item: int64
resize_size: list<item: int64>
  child 0, item: int64
camera_intrinsics: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
camera_extrinsics: struct<translation: struct<x: double, y: double, z: double>, rotation: struct<w: double, x: double,  (... 22 chars omitted)
  child 0, translation: struct<x: double, y: double, z: double>
      child 0, x: double
      child 1, y: double
      child 2, z: double
  child 1, rotation: struct<w: double, x: double, y: double, z: double>
      child 0, w: double
      child 1, x: double
      child 2, y: double
      child 3, z: double
preview_size: list<item: int64>
  child 0, item: int64
instruction_tokens: list<item: int64>
  child 0, item: int64
instruction_text: struct<fine: string, aug_goal: struct<formal: string, natural: string, casual: string>>
  child 0, fine: string
  child 1, aug_goal: struct<formal: string, natural: string, casual: string>
      child 0, formal: string
      child 1, natural: string
      child 2, casual: string
finish_status: string
fail_reason: null
to
{'episode_id': Value('string'), 'instruction_text': {'fine': Value('string'), 'aug_goal': {'formal': Value('string'), 'natural': Value('string'), 'casual': Value('string')}}, 'instruction_tokens': List(Value('int64')), 'finish_status': Value('string'), 'fail_reason': 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 299, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              schema_version: string
              source: string
              pixel_format: string
              depth_format: string
              created_at: timestamp[s]
              created_by: string
              pipeline_sha: string
              qa_status: string
              scene_id: string
              episode_id: string
              fps: int64
              video: bool
              encoding: struct<vcodec: string>
                child 0, vcodec: string
              dataset: string
              codebase_version: string
              frame_size: list<item: int64>
                child 0, item: int64
              resize_size: list<item: int64>
                child 0, item: int64
              camera_intrinsics: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              camera_extrinsics: struct<translation: struct<x: double, y: double, z: double>, rotation: struct<w: double, x: double,  (... 22 chars omitted)
                child 0, translation: struct<x: double, y: double, z: double>
                    child 0, x: double
                    child 1, y: double
                    child 2, z: double
                child 1, rotation: struct<w: double, x: double, y: double, z: double>
                    child 0, w: double
                    child 1, x: double
                    child 2, y: double
                    child 3, z: double
              preview_size: list<item: int64>
                child 0, item: int64
              instruction_tokens: list<item: int64>
                child 0, item: int64
              instruction_text: struct<fine: string, aug_goal: struct<formal: string, natural: string, casual: string>>
                child 0, fine: string
                child 1, aug_goal: struct<formal: string, natural: string, casual: string>
                    child 0, formal: string
                    child 1, natural: string
                    child 2, casual: string
              finish_status: string
              fail_reason: null
              to
              {'episode_id': Value('string'), 'instruction_text': {'fine': Value('string'), 'aug_goal': {'formal': Value('string'), 'natural': Value('string'), 'casual': Value('string')}}, 'instruction_tokens': List(Value('int64')), 'finish_status': Value('string'), 'fail_reason': Value('null')}
              because column names don't match

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