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.

pick_tblock_mp_pdscale_20_new2 TsFile

This dataset is a TsFile conversion of the LeRobot dataset younghyopark/pick_tblock_mp_pdscale_20_new2. The source dataset was created with LeRobot and is licensed under apache-2.0.

Dataset Details

  • Source dataset: younghyopark/pick_tblock_mp_pdscale_20_new2
  • Source format: LeRobot v2.1
  • Robot type: DualPanda
  • Modalities: Time-series robot state and action data
  • Split: train
  • Episodes: 1000
  • Frames / rows: 153000
  • Tasks: 1
  • Sampling rate: 50 fps
  • Source videos: 0 (video_path: null)
  • Converted data file: data/pick_tblock_mp_pdscale_20_new2_train.tsfile

TsFile Layout

The conversion writes one TsFile table for the train split: pick_tblock_mp_pdscale_20_new2_train.

  • Time is the TsFile time column in milliseconds.
  • episode_index and task_index are TAG columns.
  • frame_index and sample_index are scalar FIELD columns.
  • Vector features are flattened into scalar FIELD columns.

Vector column flattening preserves the source column name, replaces . with _, and appends the element index. For example, observation.state becomes observation_state_0 through observation_state_29.

Flattened source vectors:

  • observation.state: 30 float32 fields
  • observation.environment_state: 7 float32 fields
  • action.relative_ee_pose: 16 float32 fields
  • observation.qvel: 30 float32 fields
  • observation.env_qvel: 6 float32 fields
  • observation.ee_pose: 16 float32 fields
  • action.ctrl: 16 float32 fields
  • action.qpos: 16 float32 fields
  • action.relative_qpos: 16 float32 fields
  • action.ee_pose: 16 float32 fields

Conversion Notes

  • Time = round(timestamp * 1000) and restarts per episode.
  • The source timestamp column is dropped because it is represented by Time / 1000 seconds.
  • The source index column is renamed to sample_index.
  • No numeric time-series rows are dropped; the converted TsFile has 153000 rows.
  • Source meta/ files are mirrored, with meta/info.json updated to describe the converted TsFile artifact.
  • No videos are uploaded here. The source metadata reports total_videos: 0 and video_path: null.

Read Example

Use the Apache TsFile SDK or TsFile tools to read:

data/pick_tblock_mp_pdscale_20_new2_train.tsfile

For episode-level filtering, query the table with the TAG column, for example WHERE episode_index = 0.

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