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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
episode_index: int64
tasks: list<element: string>
  child 0, element: string
length: int64
data/chunk_index: int64
data/file_index: int64
dataset_from_index: int64
dataset_to_index: int64
videos/observation.images.agentview_image/chunk_index: int64
videos/observation.images.agentview_image/file_index: int64
videos/observation.images.agentview_image/from_timestamp: double
videos/observation.images.agentview_image/to_timestamp: double
videos/observation.images.sideview_image/chunk_index: int64
videos/observation.images.sideview_image/file_index: int64
videos/observation.images.sideview_image/from_timestamp: double
videos/observation.images.sideview_image/to_timestamp: double
stats/observation.state/min: list<element: double>
  child 0, element: double
stats/observation.state/max: list<element: double>
  child 0, element: double
stats/observation.state/mean: list<element: double>
  child 0, element: double
stats/observation.state/std: list<element: double>
  child 0, element: double
stats/observation.state/count: list<element: int64>
  child 0, element: int64
stats/observation.state/q01: list<element: double>
  child 0, element: double
stats/observation.state/q10: list<element: double>
  child 0, element: double
stats/observation.state/q50: list<element: double>
  child 0, element: double
stats/observation.state/q90: list<element: double>
  child 0, element: double
stats/observation.state/q99: list<element: double>
  child 0, element: double
stats/action/min: list<element: doubl
...
ats/episode_index/q99: list<element: double>
  child 0, element: double
stats/index/min: list<element: int64>
  child 0, element: int64
stats/index/max: list<element: int64>
  child 0, element: int64
stats/index/mean: list<element: double>
  child 0, element: double
stats/index/std: list<element: double>
  child 0, element: double
stats/index/count: list<element: int64>
  child 0, element: int64
stats/index/q01: list<element: double>
  child 0, element: double
stats/index/q10: list<element: double>
  child 0, element: double
stats/index/q50: list<element: double>
  child 0, element: double
stats/index/q90: list<element: double>
  child 0, element: double
stats/index/q99: list<element: double>
  child 0, element: double
stats/task_index/min: list<element: int64>
  child 0, element: int64
stats/task_index/max: list<element: int64>
  child 0, element: int64
stats/task_index/mean: list<element: double>
  child 0, element: double
stats/task_index/std: list<element: double>
  child 0, element: double
stats/task_index/count: list<element: int64>
  child 0, element: int64
stats/task_index/q01: list<element: double>
  child 0, element: double
stats/task_index/q10: list<element: double>
  child 0, element: double
stats/task_index/q50: list<element: double>
  child 0, element: double
stats/task_index/q90: list<element: double>
  child 0, element: double
stats/task_index/q99: list<element: double>
  child 0, element: double
meta/episodes/chunk_index: int64
meta/episodes/file_index: int64
to
{'observation.state': List(Value('float32'), length=131255), 'action': List(Value('float32'), length=8), 'reward': Value('float32'), 'observation.agentview_segmentation_False': Array3D(shape=(256, 256, 1), dtype='float32'), 'observation.hammer_back_pos': List(Value('float32'), length=3), 'observation.hammer_back_quat': List(Value('float32'), length=4), 'observation.hammer_default_pos': List(Value('float32'), length=3), 'observation.hammer_default_quat': List(Value('float32'), length=4), 'observation.hammer_default_vel': List(Value('float32'), length=6), 'observation.hammer_front_pos': List(Value('float32'), length=3), 'observation.hammer_front_quat': List(Value('float32'), length=4), 'observation.kin_eef': List(Value('float32'), length=3), 'observation.kin_hammer_back_pos': List(Value('float32'), length=3), 'observation.kin_hammer_default_pos': List(Value('float32'), length=3), 'observation.kin_hammer_front_pos': List(Value('float32'), length=3), 'observation.kin_nail_default_pos': List(Value('float32'), length=3), 'observation.nail_default_pos': List(Value('float32'), length=3), 'observation.nail_default_quat': List(Value('float32'), length=4), 'observation.object-state': List(Value('float32'), length=34), 'observation.robot0_eef_pos': List(Value('float32'), length=3), 'observation.robot0_eef_quat': List(Value('float32'), length=4), 'observation.robot0_eef_quat_site': List(Value('float32'), length=4), 'observation.robot0_gripper_qpos': List(Value('float32'), length=2), 'observation.robot0_gripper_qvel': List(Value('float32'), length=2), 'observation.robot0_joint_acc': List(Value('float32'), length=7), 'observation.robot0_joint_pos': List(Value('float32'), length=7), 'observation.robot0_joint_pos_cos': List(Value('float32'), length=7), 'observation.robot0_joint_pos_sin': List(Value('float32'), length=7), 'observation.robot0_joint_vel': List(Value('float32'), length=7), 'observation.robot0_proprio-state': List(Value('float32'), length=50), 'observation.sideview_segmentation_False': Array3D(shape=(256, 256, 1), dtype='float32'), 'timestamp': Value('float32'), 'frame_index': Value('int64'), 'episode_index': Value('int64'), 'index': Value('int64'), 'task_index': Value('int64')}
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 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1975, 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 503, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, 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/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, 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
              episode_index: int64
              tasks: list<element: string>
                child 0, element: string
              length: int64
              data/chunk_index: int64
              data/file_index: int64
              dataset_from_index: int64
              dataset_to_index: int64
              videos/observation.images.agentview_image/chunk_index: int64
              videos/observation.images.agentview_image/file_index: int64
              videos/observation.images.agentview_image/from_timestamp: double
              videos/observation.images.agentview_image/to_timestamp: double
              videos/observation.images.sideview_image/chunk_index: int64
              videos/observation.images.sideview_image/file_index: int64
              videos/observation.images.sideview_image/from_timestamp: double
              videos/observation.images.sideview_image/to_timestamp: double
              stats/observation.state/min: list<element: double>
                child 0, element: double
              stats/observation.state/max: list<element: double>
                child 0, element: double
              stats/observation.state/mean: list<element: double>
                child 0, element: double
              stats/observation.state/std: list<element: double>
                child 0, element: double
              stats/observation.state/count: list<element: int64>
                child 0, element: int64
              stats/observation.state/q01: list<element: double>
                child 0, element: double
              stats/observation.state/q10: list<element: double>
                child 0, element: double
              stats/observation.state/q50: list<element: double>
                child 0, element: double
              stats/observation.state/q90: list<element: double>
                child 0, element: double
              stats/observation.state/q99: list<element: double>
                child 0, element: double
              stats/action/min: list<element: doubl
              ...
              ats/episode_index/q99: list<element: double>
                child 0, element: double
              stats/index/min: list<element: int64>
                child 0, element: int64
              stats/index/max: list<element: int64>
                child 0, element: int64
              stats/index/mean: list<element: double>
                child 0, element: double
              stats/index/std: list<element: double>
                child 0, element: double
              stats/index/count: list<element: int64>
                child 0, element: int64
              stats/index/q01: list<element: double>
                child 0, element: double
              stats/index/q10: list<element: double>
                child 0, element: double
              stats/index/q50: list<element: double>
                child 0, element: double
              stats/index/q90: list<element: double>
                child 0, element: double
              stats/index/q99: list<element: double>
                child 0, element: double
              stats/task_index/min: list<element: int64>
                child 0, element: int64
              stats/task_index/max: list<element: int64>
                child 0, element: int64
              stats/task_index/mean: list<element: double>
                child 0, element: double
              stats/task_index/std: list<element: double>
                child 0, element: double
              stats/task_index/count: list<element: int64>
                child 0, element: int64
              stats/task_index/q01: list<element: double>
                child 0, element: double
              stats/task_index/q10: list<element: double>
                child 0, element: double
              stats/task_index/q50: list<element: double>
                child 0, element: double
              stats/task_index/q90: list<element: double>
                child 0, element: double
              stats/task_index/q99: list<element: double>
                child 0, element: double
              meta/episodes/chunk_index: int64
              meta/episodes/file_index: int64
              to
              {'observation.state': List(Value('float32'), length=131255), 'action': List(Value('float32'), length=8), 'reward': Value('float32'), 'observation.agentview_segmentation_False': Array3D(shape=(256, 256, 1), dtype='float32'), 'observation.hammer_back_pos': List(Value('float32'), length=3), 'observation.hammer_back_quat': List(Value('float32'), length=4), 'observation.hammer_default_pos': List(Value('float32'), length=3), 'observation.hammer_default_quat': List(Value('float32'), length=4), 'observation.hammer_default_vel': List(Value('float32'), length=6), 'observation.hammer_front_pos': List(Value('float32'), length=3), 'observation.hammer_front_quat': List(Value('float32'), length=4), 'observation.kin_eef': List(Value('float32'), length=3), 'observation.kin_hammer_back_pos': List(Value('float32'), length=3), 'observation.kin_hammer_default_pos': List(Value('float32'), length=3), 'observation.kin_hammer_front_pos': List(Value('float32'), length=3), 'observation.kin_nail_default_pos': List(Value('float32'), length=3), 'observation.nail_default_pos': List(Value('float32'), length=3), 'observation.nail_default_quat': List(Value('float32'), length=4), 'observation.object-state': List(Value('float32'), length=34), 'observation.robot0_eef_pos': List(Value('float32'), length=3), 'observation.robot0_eef_quat': List(Value('float32'), length=4), 'observation.robot0_eef_quat_site': List(Value('float32'), length=4), 'observation.robot0_gripper_qpos': List(Value('float32'), length=2), 'observation.robot0_gripper_qvel': List(Value('float32'), length=2), 'observation.robot0_joint_acc': List(Value('float32'), length=7), 'observation.robot0_joint_pos': List(Value('float32'), length=7), 'observation.robot0_joint_pos_cos': List(Value('float32'), length=7), 'observation.robot0_joint_pos_sin': List(Value('float32'), length=7), 'observation.robot0_joint_vel': List(Value('float32'), length=7), 'observation.robot0_proprio-state': List(Value('float32'), length=50), 'observation.sideview_segmentation_False': Array3D(shape=(256, 256, 1), dtype='float32'), 'timestamp': Value('float32'), 'frame_index': Value('int64'), 'episode_index': Value('int64'), 'index': Value('int64'), 'task_index': Value('int64')}
              because column names don't match

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