Datasets:

VGalaxies666
/

chess_game_009_white

Tasks:

Robotics

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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 66, 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.

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chess_game_009_white

Converted Apache TsFile version of Chojins/chess_game_009_white, a LeRobot v2.1 SO100 robot chess dataset.

Source Dataset

Original dataset: Chojins/chess_game_009_white
License: apache-2.0
Robot type: so100
Task: Move the blue chess pieces as indicated by the highlighted squares
Source split: train
Source scale from meta/info.json: 342 episodes, 140,709 frames, 1 task, 684 videos, 30 fps
Modalities: Time-series. The source repository also contains videos, but this converted repository stores only numeric robot state/action time-series data and metadata.

TsFile Layout

Data file: data/chess_game_009_white.tsfile
Table name: chess_game_009_white
Rows: 140,709
Time precision: milliseconds
TAG columns: episode_index, task_index
FIELD columns: frame_index, sample_index, action_0 through action_5, and observation_state_0 through observation_state_5

The converted table uses the original LeRobot episode_index and task_index columns as TsFile TAG columns. Query one episode by filtering on episode_index.

Conversion Notes

Converted with the generic lerobot converter in the huggingface_to_tsfile pipeline.
Time = round(timestamp * 1000) in milliseconds and restarts per episode.
The source timestamp column is not retained as a separate FIELD because it is redundant with Time / 1000.
The source index column is renamed to sample_index.
Vector columns are flattened while preserving the full source column name with . replaced by _: action[6] becomes action_0..action_5, and observation.state[6] becomes observation_state_0..observation_state_5.
Numeric arrays are stored as single-precision FLOAT fields.
Source videos are not uploaded here. They remain in the original dataset under videos/.
meta/ is mirrored from the source except that meta/info.json describes the converted TsFile artifact and records the original video path separately.

Read Example

Use Apache TsFile tooling or SDKs to read:

data/chess_game_009_white.tsfile

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Total file size:

3.71 MB