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
task_index: int64
__index_level_0__: string
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 449
to
{'episode_index': Value('int64'), 'data/chunk_index': Value('int64'), 'data/file_index': Value('int64'), 'dataset_from_index': Value('int64'), 'dataset_to_index': Value('int64'), 'videos/observation.images.cam_high/chunk_index': Value('int64'), 'videos/observation.images.cam_high/file_index': Value('int64'), 'videos/observation.images.cam_high/from_timestamp': Value('float64'), 'videos/observation.images.cam_high/to_timestamp': Value('float64'), 'videos/observation.images.cam_left_wrist/chunk_index': Value('int64'), 'videos/observation.images.cam_left_wrist/file_index': Value('int64'), 'videos/observation.images.cam_left_wrist/from_timestamp': Value('float64'), 'videos/observation.images.cam_left_wrist/to_timestamp': Value('float64'), 'videos/observation.images.cam_low/chunk_index': Value('int64'), 'videos/observation.images.cam_low/file_index': Value('int64'), 'videos/observation.images.cam_low/from_timestamp': Value('float64'), 'videos/observation.images.cam_low/to_timestamp': Value('float64'), 'videos/observation.images.cam_right_wrist/chunk_index': Value('int64'), 'videos/observation.images.cam_right_wrist/file_index': Value('int64'), 'videos/observation.images.cam_right_wrist/from_timestamp': Value('float64'), 'videos/observation.images.cam_right_wrist/to_timestamp': Value('float64'), 'tasks': List(Value('string')), 'length': Value('int64'), 'stats/observation.images.cam_high/min': List(List(List(Value('float64')))), 'stats/observation.images.cam_high/max': List(List(Lis
...
), 'stats/episode_index/min': List(Value('int64')), 'stats/episode_index/max': List(Value('int64')), 'stats/episode_index/mean': List(Value('float64')), 'stats/episode_index/std': List(Value('float64')), 'stats/episode_index/count': List(Value('int64')), 'stats/frame_index/min': List(Value('int64')), 'stats/frame_index/max': List(Value('int64')), 'stats/frame_index/mean': List(Value('float64')), 'stats/frame_index/std': List(Value('float64')), 'stats/frame_index/count': List(Value('int64')), 'stats/timestamp/min': List(Value('float64')), 'stats/timestamp/max': List(Value('float64')), 'stats/timestamp/mean': List(Value('float64')), 'stats/timestamp/std': List(Value('float64')), 'stats/timestamp/count': List(Value('int64')), 'stats/next.done/min': List(Value('bool')), 'stats/next.done/max': List(Value('bool')), 'stats/next.done/mean': List(Value('float64')), 'stats/next.done/std': List(Value('float64')), 'stats/next.done/count': List(Value('int64')), 'stats/index/min': List(Value('int64')), 'stats/index/max': List(Value('int64')), 'stats/index/mean': List(Value('float64')), 'stats/index/std': List(Value('float64')), 'stats/index/count': List(Value('int64')), 'stats/task_index/min': List(Value('int64')), 'stats/task_index/max': List(Value('int64')), 'stats/task_index/mean': List(Value('float64')), 'stats/task_index/std': List(Value('float64')), 'stats/task_index/count': List(Value('int64')), 'meta/episodes/chunk_index': Value('int64'), 'meta/episodes/file_index': 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 478, 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/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
task_index: int64
__index_level_0__: string
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 449
to
{'episode_index': Value('int64'), 'data/chunk_index': Value('int64'), 'data/file_index': Value('int64'), 'dataset_from_index': Value('int64'), 'dataset_to_index': Value('int64'), 'videos/observation.images.cam_high/chunk_index': Value('int64'), 'videos/observation.images.cam_high/file_index': Value('int64'), 'videos/observation.images.cam_high/from_timestamp': Value('float64'), 'videos/observation.images.cam_high/to_timestamp': Value('float64'), 'videos/observation.images.cam_left_wrist/chunk_index': Value('int64'), 'videos/observation.images.cam_left_wrist/file_index': Value('int64'), 'videos/observation.images.cam_left_wrist/from_timestamp': Value('float64'), 'videos/observation.images.cam_left_wrist/to_timestamp': Value('float64'), 'videos/observation.images.cam_low/chunk_index': Value('int64'), 'videos/observation.images.cam_low/file_index': Value('int64'), 'videos/observation.images.cam_low/from_timestamp': Value('float64'), 'videos/observation.images.cam_low/to_timestamp': Value('float64'), 'videos/observation.images.cam_right_wrist/chunk_index': Value('int64'), 'videos/observation.images.cam_right_wrist/file_index': Value('int64'), 'videos/observation.images.cam_right_wrist/from_timestamp': Value('float64'), 'videos/observation.images.cam_right_wrist/to_timestamp': Value('float64'), 'tasks': List(Value('string')), 'length': Value('int64'), 'stats/observation.images.cam_high/min': List(List(List(Value('float64')))), 'stats/observation.images.cam_high/max': List(List(Lis
...
), 'stats/episode_index/min': List(Value('int64')), 'stats/episode_index/max': List(Value('int64')), 'stats/episode_index/mean': List(Value('float64')), 'stats/episode_index/std': List(Value('float64')), 'stats/episode_index/count': List(Value('int64')), 'stats/frame_index/min': List(Value('int64')), 'stats/frame_index/max': List(Value('int64')), 'stats/frame_index/mean': List(Value('float64')), 'stats/frame_index/std': List(Value('float64')), 'stats/frame_index/count': List(Value('int64')), 'stats/timestamp/min': List(Value('float64')), 'stats/timestamp/max': List(Value('float64')), 'stats/timestamp/mean': List(Value('float64')), 'stats/timestamp/std': List(Value('float64')), 'stats/timestamp/count': List(Value('int64')), 'stats/next.done/min': List(Value('bool')), 'stats/next.done/max': List(Value('bool')), 'stats/next.done/mean': List(Value('float64')), 'stats/next.done/std': List(Value('float64')), 'stats/next.done/count': List(Value('int64')), 'stats/index/min': List(Value('int64')), 'stats/index/max': List(Value('int64')), 'stats/index/mean': List(Value('float64')), 'stats/index/std': List(Value('float64')), 'stats/index/count': List(Value('int64')), 'stats/task_index/min': List(Value('int64')), 'stats/task_index/max': List(Value('int64')), 'stats/task_index/mean': List(Value('float64')), 'stats/task_index/std': List(Value('float64')), 'stats/task_index/count': List(Value('int64')), 'meta/episodes/chunk_index': Value('int64'), 'meta/episodes/file_index': 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.
aloha_static_cups_open, stored in Lance
lerobot/aloha_static_cups_open converted to the Lance layout that LeRobot's LanceDBDataset reads natively. Same meta/ sidecar as the original, tabular features in frames.lance, encoded videos in a videos.lance blob v2 column.
from lerobot.datasets import LeRobotDataset # not needed, shown for contrast
from lerobot.datasets import LanceDBDataset
ds = LanceDBDataset("lance-format/aloha_static_cups_open-lance") # streams tables from the Hub, only meta/ is downloaded
item = ds[0]
Or just point training at it. The dataset factory detects the format automatically:
lerobot-train --dataset.repo_id=lance-format/aloha_static_cups_open-lance ...
Requires lancedb>=0.35.0b2 (pip install --pre --extra-index-url https://pypi.fury.io/lancedb/ lancedb) and the lance-dataloader branch of LeRobot until the upstream PR lands.
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