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.

vials_recap_v1.1 TsFile

This dataset is converted from Sichang0621/vials_recap_v1.1 to Apache TsFile format.

Modalities: Time-series. The converted repository contains numeric robot state/action trajectories, scalar labels, and LeRobot metadata. Camera videos are not included in this TsFile conversion; they remain in the original Hugging Face dataset under its videos/ tree.

Source Dataset

  • Original dataset: Sichang0621/vials_recap_v1.1
  • License: apache-2.0
  • Robot type from source metadata: yam
  • Source codebase version from metadata: v3.0
  • Collection setup: teleoperation data collected with limb on yam arms.
  • Task: pick up all vials and place them in the stand
  • Source split: train, episodes 0:93
  • Sampling rate: 30 fps
  • Source scale: 93 episodes, 105,592 frames, 1 task.
  • Source data layout: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
  • Source video layout: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
  • Source cameras: head_camera, left_wrist_camera, right_wrist_camera
  • Source video codec: hevc

Converted Data

  • TsFile path: data/vials_recap_v1_1.tsfile
  • Table name: vials_recap_v1_1
  • Converted rows: 105,592
  • Episodes converted: 93
  • Tasks: 1
  • Source frame Parquet files converted: 93
  • Output file size: 9,250,447 bytes
  • Time precision: milliseconds

Schema

  • Time: integer timestamp in milliseconds, computed as round(timestamp * 1000).
  • TAG columns: episode_index, task_index.
  • Integer FIELD columns: frame_index, sample_index, correction_index, intervention.
  • FLOAT FIELD columns: reward, reward_label, value_label.
  • STRING FIELD columns: phase, adv_ind.
  • FLOAT FIELD columns: observation_state_0 through observation_state_13.
  • FLOAT FIELD columns: action_0 through action_13.

The 14 state and action dimensions follow the source metadata order: left_joint_0, left_joint_1, left_joint_2, left_joint_3, left_joint_4, left_joint_5, left_gripper, right_joint_0, right_joint_1, right_joint_2, right_joint_3, right_joint_4, right_joint_5, right_gripper.

Conversion Notes

  • Vector columns are flattened while preserving source names: observation.state becomes observation_state_0..observation_state_13, and action becomes action_0..action_13.
  • The source timestamp column is dropped because it is represented by Time / 1000 seconds after conversion.
  • The source index column is renamed to sample_index.
  • Video features observation.images.head_camera, observation.images.left_wrist_camera, and observation.images.right_wrist_camera are omitted from this repository. Use the original dataset videos at Sichang0621/vials_recap_v1.1/videos.
  • Source meta/ files are mirrored, with meta/info.json updated to describe the converted TsFile path and schema.

Read Example

from pathlib import Path

tsfile_path = Path("data/vials_recap_v1_1.tsfile")
print(tsfile_path)

# Read this file with the Apache TsFile Java/Python SDK or TsFile tools.
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