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.

v30_apple_storage (TsFile)

Apache TsFile version of rerun/v30_apple_storage.

Overview

A LeRobot (v3.0) robot-manipulation dataset collected on a reachy2 robot. Each episode records the robot placing an apple in a plate — the commanded action and the measured state, sampled frame by frame.

  • Robot: reachy2 (19-dim state / action).
  • Task: "place the apple in the plate" (1 task).
  • Scale: 3 episodes (episode_index 0/1/2), 899 frames total (299 + 300 + 300), single train split.
  • Sampling rate: 30 fps.
  • Videos: one camera stream (observation.image) in the original dataset; not included here (see below).

Note: the source meta/info.json reports total_frames 14983 and splits "0:50", which do not match the actually published data — the data parquet and the meta/episodes table both contain only 3 episodes / 899 frames. This TsFile reflects the actual published data.

Schema (TsFile structure)

  • Time (INT64, milliseconds) — round(timestamp * 1000), restarts per episode.
  • episode_index (TAG) — episode device dimension; query one episode with WHERE episode_index=0.
  • task_index (TAG) — task device dimension (single task here).
  • frame_index (FIELD, INT64) — original per-episode frame counter.
  • sample_index (FIELD, INT64) — source index column, renamed.
  • observation_state_0..observation_state_18 (FIELD, FLOAT) — measured 19-dim state.
  • action_0..action_18 (FIELD, FLOAT) — commanded 19-dim action.

Vector columns are flattened by preserving the source name (._) and appending the element index. The source timestamp column is dropped because it equals Time ÷ 1000 seconds.

Videos

The camera video stream is not included in this TsFile repository. It remains in the original dataset under videos/.

Usage

Read the .tsfile files with the Apache TsFile Java or Python SDK.

Source & license

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