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 68, 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.

pick_place_cube_1.18 TsFile

Converted from the Hugging Face dataset CSCSXX/pick_place_cube_1.18 to Apache TsFile format.

The source dataset was created with LeRobot. It is an SO-100 robot pick-place-cube dataset with one task: pick-place-cube.

Dataset Facts

  • Modalities: Time-series. Source video streams are available only in the original dataset.
  • License: Apache-2.0.
  • Robot type: so100.
  • Codebase version: v2.0.
  • Episodes: 50.
  • Frames / converted rows: 16,491.
  • Tasks: 1.
  • Source split: train episodes 0:50.
  • Sampling rate: 30 fps.
  • Source videos: 100 videos from observation.images.top and observation.images.side.
  • Converted file: data/pick_place_cube_1_18.tsfile.

Converted Schema

The converted TsFile table is named pick_place_cube_1_18.

  • Time: int64 millisecond timestamp, synthesized as round(timestamp * 1000).
  • TAG columns: episode_index, task_index.
  • FIELD columns: frame_index, sample_index, action_0 to action_5, and observation_state_0 to observation_state_5.

The original vector columns are flattened as scalar fields:

  • action with shape [6] becomes action_0 to action_5.
  • observation.state with shape [6] becomes observation_state_0 to observation_state_5.

Conversion Notes

  • Numeric LeRobot frame Parquet files from data/chunk-*/*.parquet were merged into one TsFile.
  • Time uses millisecond precision and restarts per episode, matching the source timestamp convention.
  • The source timestamp column is not retained as a separate field because it is redundant with Time / 1000 seconds.
  • The source index column is renamed to sample_index.
  • Source meta/ files are mirrored, with meta/info.json updated to describe the converted TsFile artifact and original video location.
  • Video streams are not uploaded to this repository. They remain in the original Hugging Face dataset under videos/.

Read Example

from tsfile import TsFileReader

path = "data/pick_place_cube_1_18.tsfile"
with TsFileReader(path) as reader:
    schemas = reader.get_all_table_schemas()
    print(schemas.keys())
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