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.

ALOHA Static Battery (TsFile)

Apache TsFile version of lerobot/aloha_static_battery.

The source dataset was created with LeRobot and is licensed under Apache 2.0. It contains ALOHA robot demonstrations for the task "Place the battery into the slot of the remote controller."

Modalities: Time-series. The original camera streams remain available in the source Hugging Face dataset; this repository stores the numeric robot state, action, frame metadata, task index, and episode tags as Apache TsFile.

Source Dataset

  • Original dataset: lerobot/aloha_static_battery
  • Codebase version: LeRobot v3.0
  • Robot type: unknown
  • Split: train (0:49)
  • Episodes: 49
  • Frames: 29,400
  • Sampling rate: 50 fps
  • Tasks: 1
  • Source data path: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
  • Source video path: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4

Converted Files

  • TsFile: data/aloha_static_battery.tsfile
  • Rows: 29,400
  • Table name: aloha_static_battery
  • Time precision: milliseconds
  • Mirrored metadata: meta/, with meta/info.json updated for the TsFile artifact

Schema

Time is generated as round(timestamp * 1000) milliseconds. Time restarts within each episode, and devices are identified by the original LeRobot tag columns.

  • TAG columns: episode_index, task_index
  • FIELD metadata columns: frame_index, sample_index, next_done
  • FIELD vectors: observation_state_0..observation_state_13 and action_0..action_13

next_done is the episode-termination flag. The converted data has 49 true flags, one terminal frame per episode.

Conversion Notes

  • The source timestamp column is dropped after being mapped to Time; it is recoverable as Time / 1000 seconds.
  • The source index column is renamed to sample_index.
  • The source next.done column is renamed to next_done.
  • Vector columns are flattened by preserving the full source column name, replacing . with _, and appending the element index.
  • Source video features are not uploaded here: observation.images.cam_high, observation.images.cam_left_wrist, observation.images.cam_low, and observation.images.cam_right_wrist. Use the original dataset's videos/ tree for the visual streams.
  • Aside from the redundant timestamp column and omitted video files, no numeric time-series rows are intentionally dropped.

Read Example

from tsfile import TsFileReader

path = "data/aloha_static_battery.tsfile"

with TsFileReader(path) as reader:
    tables = reader.get_all_table_schemas()
    print(tables.keys())
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