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
task: string
-- schema metadata --
pandas: '{"index_columns": ["task"], "column_indexes": [{"name": null, "f' + 443
to
{'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': 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.top_view/chunk_index': Value('int64'), 'videos/observation.images.top_view/file_index': Value('int64'), 'videos/observation.images.top_view/from_timestamp': Value('float64'), 'videos/observation.images.top_view/to_timestamp': Value('float64'), 'stats/action/min': List(Value('float64')), 'stats/action/max': List(Value('float64')), 'stats/action/mean': List(Value('float64')), 'stats/action/std': List(Value('float64')), 'stats/action/count': List(Value('int64')), 'stats/action/q01': List(Value('float64')), 'stats/action/q10': List(Value('float64')), 'stats/action/q50': List(Value('float64')), 'stats/action/q90': List(Value('float64')), 'stats/action/q99': List(Value('float64')), 'stats/observation.state/min': List(Value('float64')), 'stats/observation.state/max': List(Value('float64')), 'stats/observation.state/mean': List(Value('float64')), 'stats/observation.state/std': List(Value('float64')), 'stats/observation.state/count': List(Value('int64')), 'stats/observation.state/q01': List(Value('float64')), 'stats/observation.state/q10': List(Value('float64')), 'stats/observation.state/q50': List(Value('float64')), 'stats/observation.state/q90': List(Value('float64')), 'stats/observation.state/q99': List(Value('float64')),
...
'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/episode_index/q01': List(Value('float64')), 'stats/episode_index/q10': List(Value('float64')), 'stats/episode_index/q50': List(Value('float64')), 'stats/episode_index/q90': List(Value('float64')), 'stats/episode_index/q99': List(Value('float64')), '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/index/q01': List(Value('float64')), 'stats/index/q10': List(Value('float64')), 'stats/index/q50': List(Value('float64')), 'stats/index/q90': List(Value('float64')), 'stats/index/q99': List(Value('float64')), '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')), 'stats/task_index/q01': List(Value('float64')), 'stats/task_index/q10': List(Value('float64')), 'stats/task_index/q50': List(Value('float64')), 'stats/task_index/q90': List(Value('float64')), 'stats/task_index/q99': List(Value('float64')), '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 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, 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
task: string
-- schema metadata --
pandas: '{"index_columns": ["task"], "column_indexes": [{"name": null, "f' + 443
to
{'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': 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.top_view/chunk_index': Value('int64'), 'videos/observation.images.top_view/file_index': Value('int64'), 'videos/observation.images.top_view/from_timestamp': Value('float64'), 'videos/observation.images.top_view/to_timestamp': Value('float64'), 'stats/action/min': List(Value('float64')), 'stats/action/max': List(Value('float64')), 'stats/action/mean': List(Value('float64')), 'stats/action/std': List(Value('float64')), 'stats/action/count': List(Value('int64')), 'stats/action/q01': List(Value('float64')), 'stats/action/q10': List(Value('float64')), 'stats/action/q50': List(Value('float64')), 'stats/action/q90': List(Value('float64')), 'stats/action/q99': List(Value('float64')), 'stats/observation.state/min': List(Value('float64')), 'stats/observation.state/max': List(Value('float64')), 'stats/observation.state/mean': List(Value('float64')), 'stats/observation.state/std': List(Value('float64')), 'stats/observation.state/count': List(Value('int64')), 'stats/observation.state/q01': List(Value('float64')), 'stats/observation.state/q10': List(Value('float64')), 'stats/observation.state/q50': List(Value('float64')), 'stats/observation.state/q90': List(Value('float64')), 'stats/observation.state/q99': List(Value('float64')),
...
'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/episode_index/q01': List(Value('float64')), 'stats/episode_index/q10': List(Value('float64')), 'stats/episode_index/q50': List(Value('float64')), 'stats/episode_index/q90': List(Value('float64')), 'stats/episode_index/q99': List(Value('float64')), '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/index/q01': List(Value('float64')), 'stats/index/q10': List(Value('float64')), 'stats/index/q50': List(Value('float64')), 'stats/index/q90': List(Value('float64')), 'stats/index/q99': List(Value('float64')), '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')), 'stats/task_index/q01': List(Value('float64')), 'stats/task_index/q10': List(Value('float64')), 'stats/task_index/q50': List(Value('float64')), 'stats/task_index/q90': List(Value('float64')), 'stats/task_index/q99': List(Value('float64')), '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.
so101_smolvla (TsFile)
Apache TsFile version of the LeRobot dataset
emectronics/so101_smolvla_dataset_20260609_183515.
Overview
SO-101 robot-arm demonstrations recorded with LeRobot.
- Robot: SO-101 (so_follower)
- Episodes: 12
- Frames: 3,822
- Sampling rate: 30 fps
- Tasks: 1
Schema (TsFile structure)
- Time (INT64, milliseconds) —
round(timestamp * 1000), restarting per episode. - episode_index / task_index (TAG) — the device dimension. Query a single episode with
WHERE episode_index=N. - FIELD —
frame_index,sample_index, and the flattened state/action vectors (observation_state_0..5,action_0..5) as single-precision FLOAT.
The robot's the top-view camera stream are time-series-irrelevant and not uploaded to this repository;
get them from the original dataset (its videos/ directory). The source meta/ is mirrored here.
Usage
Read the .tsfile files with the Apache TsFile Java or Python SDK.
Source & license
- Original dataset:
emectronics/so101_smolvla_dataset_20260609_183515 - Author / publisher: emectronics
- License: apache-2.0
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