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.

rice-cooker_step_3 TsFile

This repository contains a TsFile conversion of the numeric time-series data from villekuosmanen/rice-cooker_step_3, while preserving the LeRobot episode-level repository layout.

Source Dataset

The source dataset was created using LeRobot.

  • Source: villekuosmanen/rice-cooker_step_3
  • License: apache-2.0
  • LeRobot codebase version: v2.1
  • Robot type: arx5
  • Episodes: 100
  • Frames: 53,492
  • Tasks: 1
  • FPS: 50
  • Video streams: observation.images.front, observation.images.wrist
  • Total videos: 200

The original numeric data is one Parquet file per episode:

data/chunk-000/episode_000000.parquet
...
data/chunk-000/episode_000099.parquet

Converted Layout

README.md
data/chunk-000/episode_000000.tsfile
...
data/chunk-000/episode_000099.tsfile
meta/info.json
meta/tasks.jsonl
meta/episodes.jsonl
meta/episodes_stats.jsonl
videos/chunk-000/observation.images.front/episode_000000.mp4
...
videos/chunk-000/observation.images.front/episode_000099.mp4
videos/chunk-000/observation.images.wrist/episode_000000.mp4
...
videos/chunk-000/observation.images.wrist/episode_000099.mp4

The meta/ and videos/ directories are mirrored from the source repository. Only the Parquet episode files are converted to TsFile.

TsFile Mapping

  • Table name: rice_cooker_step_3
  • TAG columns: episode_id, task_id
  • Time precision: milliseconds
  • Time definition: Time = round(timestamp * 1000)
  • timestamp is preserved as episode_timestamp_s
  • index is renamed to sample_index
  • observation.state[7] is flattened to state_0 ... state_6
  • action[7] is flattened to action_0 ... action_6
  • Row count preserved: 53,492 source rows -> 53,492 TsFile rows across 100 files

Video Alignment

Videos are not stored inside TsFile. They are mirrored under videos/ and aligned by episode and frame:

data/chunk-000/episode_000000.tsfile
videos/chunk-000/observation.images.front/episode_000000.mp4
videos/chunk-000/observation.images.wrist/episode_000000.mp4

Within an episode, frame_index aligns with the video frame index, and episode_timestamp_s aligns with video time in seconds.

Metadata

meta/info.json has been updated so:

"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.tsfile"

It also includes a tsfile_conversion object documenting the source path, converted path, TAG columns, time mapping, row count, and vector flattening.

Citation

Please cite the original dataset:

@dataset{rice_cooker_step_3,
  author = {villekuosmanen},
  title = {rice-cooker_step_3},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/villekuosmanen/rice-cooker_step_3}
}
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