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.

Piper Joystick Test Video TsFile

Apache TsFile edition of maskjp/piper-joystick-test-video, a LeRobot v2.0 Piper manipulation dataset. It contains synchronized robot state/action signals for picking up an orange object from a table and placing it in a box.

Source and Attribution

  • Publisher and uploader: maskjp. The source card does not name a separate individual author.
  • License: Apache-2.0.
  • Paper and citation: not supplied by the source card.
  • Robot type: piper; sampling rate: 20 fps.
  • Split: train; 30 episodes; 19,963 frame rows; one task.
  • Numeric source layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet (30 files, 1,305,117 bytes).
  • TsFile path: data/maskjp_piper_joystick_test_video.tsfile; table: maskjp_piper_joystick_test_video; size: 545,071 bytes (0.418 of the source Parquet bytes).

Schema

Role Columns Type and storage
TIME Time TIMESTAMP, TS_2DIFF + LZ4
TAG episode_index, task_index TsFile table/device tags
FIELD frame_index, sample_index INT64, TS_2DIFF + ZSTD
FIELD next_done, correction BOOLEAN, RLE + LZ4
FIELD observation_state_0 ... observation_state_6 FLOAT, GORILLA + ZSTD
FIELD action_0 ... action_6 FLOAT, GORILLA + ZSTD

Time = round(timestamp * 1000) in milliseconds and restarts at zero for each episode. The redundant source timestamp column is then dropped because it equals Time / 1000 seconds. Source index is renamed sample_index, next.done is renamed next_done, and frame_index is retained. The two 7-element vectors are flattened in source order. No rows or numeric/boolean dimensions are dropped.

Videos

The original repository stores 90 frame-aligned H.264 MP4 files, 30 per camera stream, at:

Their source path is videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Videos are not included here; use episode_index and frame_index to align TsFile rows with the original MP4 frames.

Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/maskjp_piper_joystick_test_video.tsfile")
with reader.query_table(
    "maskjp_piper_joystick_test_video",
    ["episode_index", "task_index", "frame_index", "next_done", "action_0"],
    batch_size=65536,
) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()
Downloads last month
84