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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
state: struct<state: struct<start: int64, end: int64>>
child 0, state: struct<start: int64, end: int64>
child 0, start: int64
child 1, end: int64
action: struct<actions_target: struct<start: int64, end: int64>>
child 0, actions_target: struct<start: int64, end: int64>
child 0, start: int64
child 1, end: int64
video: struct<cam_top: struct<original_key: string>, cam_wrist: struct<original_key: string>, cam_side: str (... 26 chars omitted)
child 0, cam_top: struct<original_key: string>
child 0, original_key: string
child 1, cam_wrist: struct<original_key: string>
child 0, original_key: string
child 2, cam_side: struct<original_key: string>
child 0, original_key: string
annotation: struct<human.task_description: struct<original_key: string>>
child 0, human.task_description: struct<original_key: string>
child 0, original_key: string
total_episodes: int64
total_chunks: int64
splits: struct<train: string>
child 0, train: string
codebase_version: string
total_videos: int64
total_frames: int64
robot_type: null
total_tasks: int64
video_path: string
chunks_size: int64
fps: int64
features: struct<action: struct<dtype: string, shape: list<item: int64>, names: null>, observation.state: stru (... 1691 chars omitted)
child 0, action: 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 1
...
ld 3, video.pix_fmt: string
child 4, video.fps: int64
child 5, video.channels: int64
child 6, has_audio: bool
child 7, video.g: int64
child 8, video.crf: int64
child 9, video.preset: null
child 10, video.fast_decode: int64
child 11, video.video_backend: string
child 12, video.extra_options: struct<>
child 13, is_depth_map: bool
child 5, 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 6, 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 7, 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 8, 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 9, 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
data_path: string
to
{'codebase_version': Value('string'), 'fps': Value('int64'), 'features': {'action': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'observation.state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'observation.images.cam_top': {'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.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': Value('bool')}}, 'observation.images.cam_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.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': Value('bool')}}, 'observation.images.cam_side': {'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.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': 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')}}, 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'chunks_size': Value('int64'), 'data_path': Value('string'), 'video_path': Value('string'), 'robot_type': Value('null'), 'splits': {'train': Value('string')}, 'total_chunks': Value('int64'), 'total_videos': 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
state: struct<state: struct<start: int64, end: int64>>
child 0, state: struct<start: int64, end: int64>
child 0, start: int64
child 1, end: int64
action: struct<actions_target: struct<start: int64, end: int64>>
child 0, actions_target: struct<start: int64, end: int64>
child 0, start: int64
child 1, end: int64
video: struct<cam_top: struct<original_key: string>, cam_wrist: struct<original_key: string>, cam_side: str (... 26 chars omitted)
child 0, cam_top: struct<original_key: string>
child 0, original_key: string
child 1, cam_wrist: struct<original_key: string>
child 0, original_key: string
child 2, cam_side: struct<original_key: string>
child 0, original_key: string
annotation: struct<human.task_description: struct<original_key: string>>
child 0, human.task_description: struct<original_key: string>
child 0, original_key: string
total_episodes: int64
total_chunks: int64
splits: struct<train: string>
child 0, train: string
codebase_version: string
total_videos: int64
total_frames: int64
robot_type: null
total_tasks: int64
video_path: string
chunks_size: int64
fps: int64
features: struct<action: struct<dtype: string, shape: list<item: int64>, names: null>, observation.state: stru (... 1691 chars omitted)
child 0, action: 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 1
...
ld 3, video.pix_fmt: string
child 4, video.fps: int64
child 5, video.channels: int64
child 6, has_audio: bool
child 7, video.g: int64
child 8, video.crf: int64
child 9, video.preset: null
child 10, video.fast_decode: int64
child 11, video.video_backend: string
child 12, video.extra_options: struct<>
child 13, is_depth_map: bool
child 5, 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 6, 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 7, 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 8, 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 9, 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
data_path: string
to
{'codebase_version': Value('string'), 'fps': Value('int64'), 'features': {'action': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'observation.state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'observation.images.cam_top': {'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.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': Value('bool')}}, 'observation.images.cam_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.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': Value('bool')}}, 'observation.images.cam_side': {'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.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.g': Value('int64'), 'video.crf': Value('int64'), 'video.preset': Value('null'), 'video.fast_decode': Value('int64'), 'video.video_backend': Value('string'), 'video.extra_options': {}, 'is_depth_map': 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')}}, 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'chunks_size': Value('int64'), 'data_path': Value('string'), 'video_path': Value('string'), 'robot_type': Value('null'), 'splits': {'train': Value('string')}, 'total_chunks': Value('int64'), 'total_videos': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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