Dataset Viewer
Duplicate
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
repo_id: string
private: bool
task_label: string
robot: string
recording_date: timestamp[s]
timezone: string
episode_count: int64
excluded_original_ordinals: list<item: int64>
  child 0, item: int64
format: string
total_bytes: int64
license: string
completed_utc: string
sha256_verified: bool
verified_source_file_count: int64
excluded_ordinal: int64
url: string
verified_mcap_count: int64
to
{'repo_id': Value('string'), 'url': Value('string'), 'private': Value('bool'), 'verified_mcap_count': Value('int64'), 'verified_source_file_count': Value('int64'), 'sha256_verified': Value('bool'), 'excluded_ordinal': Value('int64'), 'completed_utc': 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              repo_id: string
              private: bool
              task_label: string
              robot: string
              recording_date: timestamp[s]
              timezone: string
              episode_count: int64
              excluded_original_ordinals: list<item: int64>
                child 0, item: int64
              format: string
              total_bytes: int64
              license: string
              completed_utc: string
              sha256_verified: bool
              verified_source_file_count: int64
              excluded_ordinal: int64
              url: string
              verified_mcap_count: int64
              to
              {'repo_id': Value('string'), 'url': Value('string'), 'private': Value('bool'), 'verified_mcap_count': Value('int64'), 'verified_source_file_count': Value('int64'), 'sha256_verified': Value('bool'), 'excluded_ordinal': Value('int64'), 'completed_utc': Value('string')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

glaxealiter1_plugcharger_depth

Five operator-selected Galaxea R1 Lite demonstrations recorded on 2026-10-30 (Asia/Hong_Kong). Task label plugcharger was supplied by the operator; physical task success is not independently certified. Original chronological episode 3 is excluded.

Contents

Raw ROS 2 MCAPs, original metadata.yaml, native recorder JSON sidecars and wrist_depth_collection.json. Both aligned wrist-depth streams use 16UC1 millimetres at 848x480, with wrist color and aligned/color CameraInfo, corrected stereo head RGB, robot control/state topics and static TF. Wrist streams were configured at 30Hz. See included_manifest.jsonl for exact per-episode duration, counts, arrival coverage and SHA256 identities.

Source timestamps/frames/units were preserved. Native packaging sometimes leaves metadata.yaml relative_file_paths referring to the original _0.mcap name although the actual file is renamed; open the actual MCAP file directly. Raw files were not repaired or rewritten. This is raw storage, not a LeRobot-converted dataset.

Privacy, license and limitations

Public repository published with the operator's explicit authorization on 2026-10-30. Raw cameras contain the laboratory and may contain people, screens or labels. A limited review sampled start/midpoint/late frames from all four RGB cameras in all five included episodes; this is not an exhaustive privacy review. No reusable license was supplied. Do not infer permission for public redistribution or reuse from access.

The collection pipeline experienced intermittent wrist USB timeouts outside some saved episodes. Required sensor coverage was inspected before release; autonomous task success, geometric calibration accuracy and action/state alignment for training were not independently certified. Never replay command topics while connected to a live robot.

Continuity warnings in included episodes: [].

Downloads last month
74