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.

QUVI

Converted from seongjun-k/QUVI, a LeRobot v2.1 robot dataset created with Physical AI Tools and LeRobot.

Source Dataset

  • Original dataset: seongjun-k/QUVI
  • License: apache-2.0
  • Task category: robotics
  • Robot type: omx_f
  • Task: pick (task_index=0)
  • Source scale: 95 episodes, 14,263 frames, 95 videos, 30 fps
  • LeRobot codebase version: v2.1
  • Modalities: Time-series

Converted Files

  • TsFile table: quvi_train
  • TsFile path: data/quvi_train.tsfile
  • Rows: 14,263
  • Episode coverage: episode indexes 0..94
  • Metadata: source meta/ is mirrored in this repository, with meta/info.json updated to describe the converted TsFile artifact.

TsFile Schema

  • Time: integer milliseconds, computed as round(timestamp * 1000).
  • TAG columns: episode_index, task_index.
  • FIELD columns: frame_index, sample_index, observation_state_0..5, action_0..5.
  • Source index is renamed to sample_index.
  • Source observation.state[6] is flattened to observation_state_0..5.
  • Source action[6] is flattened to action_0..5.

Conversion Notes

The source timestamp column is not kept as a separate field because it is represented by Time / 1000 seconds after conversion. The source video feature observation.images.camera1 is not converted to TsFile and videos are not uploaded here; use the original dataset video tree at seongjun-k/QUVI/videos.

The original meta/info.json reports splits.train as 0:94, but meta/episodes.jsonl contains episode indexes 0..94 and their lengths sum to total_frames=14263. This conversion includes all 95 numeric episode parquet files and records the converted train split as 0:95.

Minimal Read Example

# Read data/quvi_train.tsfile with the Apache TsFile Java or Python SDK.
# Table name: quvi_train
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