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.

Ball in the Box TsFile

This is an Apache TsFile conversion of meetrais/ball_in_the_box, a LeRobot v2.1 SO100 dataset for grasping a ball and putting it in a box.

Source and provenance

  • Original dataset: meetrais/ball_in_the_box
  • Repository owner, uploader, and commit author: Rais Kazi (meetrais)
  • License: Apache-2.0
  • Paper/citation: not provided by the source repository
  • Robot: so100; LeRobot codebase: v2.1
  • Split: train; sampling frequency: 30 fps
  • Task 0: Grasp a ball and put it in the box.
  • Scale: 50 episodes, 43,930 rows, one task, 50 source Parquet shards
  • Source data path: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

The counts above come from the pinned repository meta/info.json, all source Parquet footers, and the complete repository tree.

Conversion details

  • Time: TS_2DIFF + LZ4
  • FLOAT/DOUBLE: GORILLA + LZ4
  • INT32/INT64: TS_2DIFF + LZ4
  • BOOLEAN: RLE + LZ4 when present; this source has no BOOLEAN field
  • TAG values use the TsFile table-model device/tag mechanism.
  • All train episodes are merged into one table and sorted by TAG columns and Time.
  • Source timestamp is dropped because it is represented by Time / 1000 seconds.
  • No numeric rows, action/state dimensions, frame indexes, episode indexes, or task indexes are dropped.
  • Camera pixels are video assets rather than Parquet columns and are not embedded in TsFile.

Videos

Videos are not included in this TsFile dataset. The original repository stores 100 frame-aligned AV1 MP4 files: 50 episodes for each of the laptop and phone streams under videos/chunk-000/. The exact template is videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. The source videos total 516,447,555 bytes and are 640x480 at 30 fps without audio. Stream sizes are 169,232,345 bytes (laptop) and 347,215,210 bytes (phone). Use episode_index and frame_index to align TsFile rows with both views.

Minimal read example

from tsfile import TsFileReader

reader = TsFileReader("data/meetrais_ball_in_the_box.tsfile")
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_0",
    "observation_state_0",
]
with reader.query_table("meetrais_ball_in_the_box", columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()

Citation

The source repository provides no formal citation. Cite the original Hugging Face dataset and its repository author Rais Kazi (meetrais) when using this conversion.

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