The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
repo_id: string
repo_type: string
private: bool
days: list<item: string>
child 0, item: string
source_root: string
day_episode_counts: struct<20260917: int64>
child 0, 20260917: int64
episode_count: int64
total_bytes: int64
authorization: string
privacy_review: string
generated_at_utc: string
verified_mcap_count: int64
completed_at_utc: string
repo_file_count: int64
to
{'completed_at_utc': Value('string'), 'private': Value('bool'), 'repo_file_count': Value('int64'), 'repo_id': Value('string'), 'verified_mcap_count': 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
repo_id: string
repo_type: string
private: bool
days: list<item: string>
child 0, item: string
source_root: string
day_episode_counts: struct<20260917: int64>
child 0, 20260917: int64
episode_count: int64
total_bytes: int64
authorization: string
privacy_review: string
generated_at_utc: string
verified_mcap_count: int64
completed_at_utc: string
repo_file_count: int64
to
{'completed_at_utc': Value('string'), 'private': Value('bool'), 'repo_file_count': Value('int64'), 'repo_id': Value('string'), 'verified_mcap_count': 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.
Galaxea R1 Lite demonstrations — 2026-09-17
Raw teleoperated robotics episodes collected with a physical Galaxea R1 Lite.
Repository: cdcaffee/stopballright.
Contents
20260917: 101 episodes
Total episodes: 101
Total source bytes: 76857724502
Format: ROS 2 MCAP,
metadata.yaml, and recorder JSON sidecarSource timezone: Asia/Hong_Kong
Files retain their stable recorder-generated episode identifiers below
episodes/YYYYMMDD/. included_manifest.jsonl is the authoritative file and
size inventory. Raw source files were not modified during preparation or upload.
Privacy review and publication scope
The owner explicitly authorized this new public Hugging Face repository and directed the raw upload to proceed without a separate representative-frame review. Camera streams may show the laboratory, operators, screens, labels, or other incidental details. This release has therefore not received an exhaustive frame-by-frame privacy review. Report any privacy or consent concern to the repository owner.
Only the declared raw collection-day folders, this dataset card, and the release manifests are included. Credentials, local project files, derived review frames, and unrelated robot files are excluded.
License
No dataset license was supplied with the publication request. Public visibility does not itself grant permission to reuse or redistribute the contents; contact the repository owner for applicable permissions.
Integrity and limitations
Manifest sizes and source paths are revalidated immediately before each upload. The recorder sidecar digest is preserved, but its algorithm is not asserted because the recorder does not declare it. Hardware behavior and task success were not re-evaluated for every episode as part of this upload.
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