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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:    ArrowInvalid
Message:      External error: RuntimeError: Task was aborted
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/lance/lance.py", line 225, in _generate_tables
                  for batch_idx, batch in enumerate(
                                          ^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/lance/dataset.py", line 4969, in to_batches
                  yield from self.to_reader()
                File "pyarrow/ipc.pxi", line 703, in pyarrow.lib.RecordBatchReader.__next__
                File "pyarrow/ipc.pxi", line 737, in pyarrow.lib.RecordBatchReader.read_next_batch
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: External error: RuntimeError: Task was aborted

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rllab-postech/pretrain_aiworker_bh5_sh5_hand_lance

Merged BH5/SH5 dual-hand 54D pretraining dataset in RLLAB published Lance layout.

Tables

Table Purpose
data/episodes.lance Published episode table, one row per episode, no video blob columns.
data/train_episodes.lance Training trajectory table named by manifest.json.primary_training_table; no video blob columns.
data/frames.lance Frame-level QA/index table with remapped global frame indices.
data/videos.lance Canonical media table; video_blob stores one MP4 per episode/camera.

Summary

  • Source datasets: 9
  • Episodes: 189
  • Frames: 73348
  • Videos: 189
  • Action/state dim: 54 / 54
  • FPS values: 10.0
  • Format: rllab_published_lance_dataset_v2 / schema 2.0
  • Blob storage: lance.blob.v2 (inline_bytes_only)

Quality Filters

  • Min FPS: 10.0
  • Max FPS: 30.0
  • Min episode frames: 30
  • Max episode frames: disabled
  • Drop wrist-only episodes: False
  • Required camera keys: none
  • Require any camera keys: none
  • Kept camera keys: all
  • Filtered episodes: 0

Each Lance row carries provenance columns such as source_dataset, source_repo_id, source_dataset_url, source_local_path, source_episode_index, source_robot_type, and pretrain_tier. data/videos.lance also keeps source_video_table, source_media_id, and source_relative_path while storing the canonical copied MP4 blob used by viewers and training.

Sources

Regenerate

PYTHONPATH=. ./.venv/bin/python scripts/build_pretrain_19d_lance.py --overwrite
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