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 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.

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.

berkeley_cable_routing

This dataset is a TsFile conversion of the Hugging Face dataset lerobot/berkeley_cable_routing. The source dataset was created using LeRobot.

Modalities: Time-series. The original repository also contains video streams; videos are not included in this converted repository.

Source Dataset

  • Original dataset: lerobot/berkeley_cable_routing
  • License: apache-2.0
  • LeRobot codebase version: v3.0
  • Robot type: unknown
  • Task: route cable
  • Split: train (0:1647)
  • Source scale from meta/info.json: 1,647 episodes, 42,328 frames, 1 task
  • Sampling rate: 10 fps
  • 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

Converted Files

  • TsFile: data/berkeley_cable_routing.tsfile
  • Converted rows: 42,328
  • TsFile table: berkeley_cable_routing
  • Time precision: milliseconds
  • TAG columns: episode_index, task_index

The conversion follows the LeRobot v3 data path in meta/info.json and uses the file-*.parquet frame data layout.

Schema

Time is synthesized as round(timestamp * 1000) in milliseconds. The source timestamp column is dropped because it is redundant with Time / 1000 seconds.

TAG columns:

  • episode_index
  • task_index

FIELD columns:

  • frame_index
  • sample_index (renamed from source index)
  • next_reward (renamed from source next.reward)
  • next_done (renamed from source next.done, stored as 0/1)
  • observation_state_0 to observation_state_7
  • action_0 to action_6

Vector features are flattened by preserving the source feature name and replacing . with _. For example, observation.state becomes observation_state_0 to observation_state_7, and action becomes action_0 to action_6.

Video Policy

The following source video features are not converted into TsFile and are not uploaded here:

  • observation.images.top_image
  • observation.images.wrist225_image
  • observation.images.wrist45_image
  • observation.images.image

Use the original dataset for videos: lerobot/berkeley_cable_routing/videos.

Validation

The converted TsFile was validated with the project pipeline and read back using the TsFile Python SDK:

  • staged Parquet rows: 42,328
  • TsFile metadata rows: 42,328
  • TsFile query rows: 42,328

Usage

from tsfile import TsFileReader

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