Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
total_videos: int64
total_chunks: int64
chunks_size: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, observati (... 1358 chars omitted)
child 0, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
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 1, observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
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 2, observation.images.front: 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: i
...
<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 9, subtask_index: struct<dtype: string, shape: list<item: int64>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 10, subtask_label: struct<dtype: string, shape: list<item: int64>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 11, source_episode_index: struct<dtype: string, shape: list<item: int64>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 12, source_frame_index: struct<dtype: string, shape: list<item: int64>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 13, source_timestamp: struct<dtype: string, shape: list<item: int64>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
license: string
robonet: struct<format: string, source_repo_id: string, source_revision: string, source_codebase_version: str (... 29 chars omitted)
child 0, format: string
child 1, source_repo_id: string
child 2, source_revision: string
child 3, source_codebase_version: string
child 4, reviewed_by_human: bool
tasks: list<item: string>
child 0, item: string
annotation_id: string
source_episode_index: int64
episode_index: int64
length: int64
to
{'episode_index': Value('int64'), 'source_episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': Value('int64'), 'annotation_id': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
total_videos: int64
total_chunks: int64
chunks_size: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, observati (... 1358 chars omitted)
child 0, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
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 1, observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
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 2, observation.images.front: 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: i
...
<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 9, subtask_index: struct<dtype: string, shape: list<item: int64>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 10, subtask_label: struct<dtype: string, shape: list<item: int64>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 11, source_episode_index: struct<dtype: string, shape: list<item: int64>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 12, source_frame_index: struct<dtype: string, shape: list<item: int64>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 13, source_timestamp: struct<dtype: string, shape: list<item: int64>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
license: string
robonet: struct<format: string, source_repo_id: string, source_revision: string, source_codebase_version: str (... 29 chars omitted)
child 0, format: string
child 1, source_repo_id: string
child 2, source_revision: string
child 3, source_codebase_version: string
child 4, reviewed_by_human: bool
tasks: list<item: string>
child 0, item: string
annotation_id: string
source_episode_index: int64
episode_index: int64
length: int64
to
{'episode_index': Value('int64'), 'source_episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': Value('int64'), 'annotation_id': Value('string')}
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.
Human-reviewed RoboNet annotations
This public LeRobot v2.1 dataset was derived from aaronsu11/so101_fruit.
- Source revision:
872af48c8442e6c4e8ef968691670dc390c03458 - Selected episodes: 1
- Frames: 261
- Review: human accepted
Each frame includes subtask_index, subtask_label, and source provenance.
The complete annotation audit trail is stored under meta/robonet/.
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