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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
repo_type: string
private: bool
source_day: string
source_episode_count: int64
included_episode_count: int64
excluded_episode_count: int64
included_total_bytes: int64
excluded_total_bytes: int64
generated_at_utc: string
completed_at_utc: string
repo_file_count: int64
verified_excluded_episode_ids_absent: list<item: string>
  child 0, item: string
verified_included_mcap_count: int64
to
{'completed_at_utc': Value('string'), 'private': Value('bool'), 'repo_file_count': Value('int64'), 'repo_id': Value('string'), 'verified_excluded_episode_ids_absent': List(Value('string')), 'verified_included_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
              source_day: string
              source_episode_count: int64
              included_episode_count: int64
              excluded_episode_count: int64
              included_total_bytes: int64
              excluded_total_bytes: int64
              generated_at_utc: string
              completed_at_utc: string
              repo_file_count: int64
              verified_excluded_episode_ids_absent: list<item: string>
                child 0, item: string
              verified_included_mcap_count: int64
              to
              {'completed_at_utc': Value('string'), 'private': Value('bool'), 'repo_file_count': Value('int64'), 'repo_id': Value('string'), 'verified_excluded_episode_ids_absent': List(Value('string')), 'verified_included_mcap_count': Value('int64')}
              because column names don't match

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Galaxea R1 Lite demonstrations — 2026-08-24

Private raw robotics dataset uploaded from the R1 Lite host for controlled research use. Repository: JimmyH16/galaxea-r1-lite-20260824.

Contents

  • Source date: 2026-08-24 (Asia/Hong_Kong)
  • Included episodes: 81
  • Excluded episodes: 2
  • Included bytes: 78534360416
  • Format: ROS 2 MCAP episode directory, metadata.yaml, and recorder JSON sidecar
  • Raw source path: /home/nvidia/GalaxeaDataset/20260824/

Files are stored below episodes/20260824/ with the original stable episode identifiers. included_manifest.jsonl is the authoritative inclusion list.

Exclusions

  • Ordinal 57: R2026B63T0A9900010_20260824195127115_RAW — multiple_attempts_human_intervention_long_duration
  • Ordinal 76: R2026B63T0A9900010_20260824202142656_RAW — operator_rejected_failed_rollout

Excluded recordings remain preserved on the robot host for provenance and diagnosis; they are not uploaded to this repository.

Important camera metadata limitation

Read-only inspection found conflicting zero-distortion and nonzero-distortion CameraInfo packets interleaved on the head-camera calibration topics. Raw recorded image pixels are preserved. Downstream tooling must not select the first calibration packet nondeterministically; it should validate the camera topic contract and fail closed on mixed calibration fingerprints.

Privacy and access

This repository is private. Camera streams can include the laboratory and people. Do not make it public or redistribute it without an explicit privacy, consent, and license review.

Integrity

The manifests record source sizes and the recorder sidecar digest field. The digest algorithm is not asserted because it was not declared by the recorder. Raw MCAPs were not modified during preparation or upload.

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