Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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.

LeKiwi PickCube Test TsFile

This dataset is an Apache TsFile conversion of oumeanin/lekiwi-pickcube-test, a LeRobot v3.0 LeKiwi mobile-manipulator dataset.

The converted artifact contains tabular time-series robot state, action, frame, episode, and task data. Camera videos remain in the original Hugging Face dataset and are not duplicated here.

Source Dataset and Author

  • Original dataset: oumeanin/lekiwi-pickcube-test
  • Pinned source revision: d904800f111d7f6724cc7ab21ab5bc4a3ad60ddf
  • Original repository owner and uploader: oumeanin
  • License: Apache-2.0
  • Robot type: lekiwi_soarm
  • LeRobot codebase version: v3.0
  • Task: LeKiwi pick-cube test demonstrations
  • Split: train
  • Sampling rate: 30 fps
  • Scale: 50 episodes, 185,664 frame rows, 1 task, 1 Parquet data shard
  • Source data layout: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
  • Source video layout: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4

The source card does not provide a paper, completed citation, or a separate formal author list. Repository ownership and commit history identify oumeanin as the source publisher.

Converted Files

  • TsFile: data/oumeanin_lekiwi_pickcube_test_train.tsfile (975,363 bytes)
  • Table: oumeanin_lekiwi_pickcube_test_train
  • Rows: 185,664
  • Episode/task devices: 50
  • Time precision: milliseconds
  • Metadata: meta/ is mirrored from the source, with meta/info.json updated for the TsFile artifact

TsFile Schema

Time is INT64 milliseconds computed as round(timestamp * 1000). It restarts at zero for each episode.

TAG columns, stored through the TsFile table device/TAG mechanism:

  • episode_index
  • task_index

Scalar INT64 FIELD columns:

  • frame_index
  • sample_index, renamed from source index

Flattened FLOAT FIELD groups:

  • action[9] -> action_0 ... action_8
  • observation.state[9] -> observation_state_0 ... observation_state_8

The nine dimensions in both groups are: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos, base_vx_mps, base_vy_mps, base_theta_degps.

Encoding and Conversion Notes

  • FLOAT/DOUBLE fields use GORILLA + LZ4.
  • INT32/INT64 fields and Time use TS_2DIFF + LZ4.
  • BOOLEAN fields use RLE + LZ4 when present; this source has no BOOLEAN field.
  • Source episode_index and task_index are TsFile TAGs.
  • All source rows are merged into one train TsFile and sorted by TAGs then Time.
  • Vector columns are flattened to scalar fields; dots become underscores.
  • Source timestamp is dropped after Time synthesis because it equals Time / 1000 seconds.
  • Source index becomes sample_index; frame_index is kept.
  • No numeric row or state/action dimension is dropped.
  • The TsFile is 0.3252 times the source Parquet size.

Videos

Videos are not included in this TsFile repository. The source contains two frame-aligned AV1, 640x480, 30 fps streams without audio, each with ten MP4 shards:

The source path template is videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4. episode_index, frame_index, and meta/episodes/ preserve alignment between numeric rows and the original video frames.

Validation

Apache TsFile Java 2.2.1 performed a full query readback of all 185,664 rows. The validator also checked the table schema, TAG columns, per-column physical encoding/compression, Time encoding/compression, unique TAG+Time keys, vector widths, and monotonic Time within every episode. Reports remain local and are not part of this upload-ready directory.

Minimal Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/oumeanin_lekiwi_pickcube_test_train.tsfile")
table_name = "oumeanin_lekiwi_pickcube_test_train"
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_0",
    "observation_state_0",
]

with reader.query_table(table_name, columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()

Citation

The source card provides no paper or completed BibTeX entry. Cite the original Hugging Face dataset and its publisher, oumeanin, when using this converted artifact.

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