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.

Alicia Dataset Test TsFile

This dataset is a TsFile conversion of scaling-robotics/alicia-dataset-test. It stores the numeric LeRobot frame data as an Apache TsFile table while keeping source metadata under meta/. Camera videos are not included in this converted repository.

Modalities: Time-series.

Source Dataset

  • Source: scaling-robotics/alicia-dataset-test
  • Source owner: scaling-robotics
  • Source format: LeRobot v3.0
  • Robot type: alicia_d_follower
  • Split: train
  • Episodes: 501
  • Frames / TsFile rows: 185,137
  • Tasks: 1
  • Sampling rate: 30 fps

Converted Files

  • data/alicia_dataset_test.tsfile: converted numeric time-series data.
  • meta/: source metadata mirrored from the original dataset, with meta/info.json updated to describe the converted TsFile schema and record the original video paths.

TsFile Schema

Table name: alicia_dataset_test

Time:

  • Time: INT64 milliseconds, computed as round(timestamp * 1000).

TAG columns:

  • episode_index: source episode index.
  • task_index: source task index.

FIELD columns:

  • frame_index: source frame index.
  • sample_index: renamed from source index.
  • action_0 through action_6: flattened source action vector, FLOAT.
  • observation_state_0 through observation_state_6: flattened source observation.state vector, FLOAT.

Conversion Notes

  • Converted with the generic lerobot converter in the huggingface_to_tsfile workflow.
  • All episodes are stored in one TsFile table. Use episode_index and task_index TAG filters to select an episode or task.
  • Source vector columns are flattened by preserving the source column name, replacing . with _, and appending the element index.
  • The source timestamp column is not retained as a separate field because it is redundant with Time / 1000 seconds.
  • Source index is renamed to sample_index.
  • Video features are omitted from the converted repository: observation.images.front_camera and observation.images.wrist_camera. Videos remain in the original dataset under videos/.

Validation

The staged Parquet and generated TsFile were checked locally:

  • Staged Parquet rows: 185,137
  • TsFile metadata rows: 185,137
  • TsFile query readback rows: 185,137
  • Generated TsFile size: 3,992,560 bytes

Minimal Read Example

from tsfile import TsFileReader

path = "data/alicia_dataset_test.tsfile"
reader = TsFileReader(path)
schemas = reader.get_all_table_schemas()
print(schemas.keys())
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