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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
action: list<element: float>
  child 0, element: float
observation.state: list<element: float>
  child 0, element: float
timestamp: float
frame_index: int64
episode_index: int64
index: int64
task_index: int64
__index_level_0__: int64
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 1172
to
{'action': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'observation.state': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'timestamp': Value(dtype='float64', id=None), 'frame_index': Value(dtype='int64', id=None), 'episode_index': Value(dtype='int64', id=None), 'index': Value(dtype='int64', id=None), 'task_index': Value(dtype='int64', id=None)}
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2266, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1879, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/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 "/src/services/worker/.venv/lib/python3.9/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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              action: list<element: float>
                child 0, element: float
              observation.state: list<element: float>
                child 0, element: float
              timestamp: float
              frame_index: int64
              episode_index: int64
              index: int64
              task_index: int64
              __index_level_0__: int64
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 1172
              to
              {'action': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'observation.state': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'timestamp': Value(dtype='float64', id=None), 'frame_index': Value(dtype='int64', id=None), 'episode_index': Value(dtype='int64', id=None), 'index': Value(dtype='int64', id=None), 'task_index': Value(dtype='int64', id=None)}
              because column names don't match

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This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.1",
    "robot_type": "so100",
    "total_episodes": 1,
    "total_frames": 746,
    "total_tasks": 1,
    "total_videos": 2,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 30,
    "splits": {
        "train": "0:1"
    },
    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
    "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
    "features": {
        "action": {
            "dtype": "float32",
            "shape": [
                6
            ],
            "names": [
                "main_shoulder_pan",
                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                6
            ],
            "names": [
                "main_shoulder_pan",
                "main_shoulder_lift",
                "main_elbow_flex",
                "main_wrist_flex",
                "main_wrist_roll",
                "main_gripper"
            ]
        },
        "observation.images.attached_arm": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.fps": 30.0,
                "video.height": 480,
                "video.width": 640,
                "video.channels": 3,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.images.detatched_arm": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.fps": 30.0,
                "video.height": 480,
                "video.width": 640,
                "video.channels": 3,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    }
}

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