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.

SO-ARM101 Feeding Nuts (TsFile)

Apache TsFile version of HCIS-Lab/soarm101-feeding-nuts.

Overview

Teleoperation demonstrations of a "Feed Nuts" manipulation task recorded on an SO-ARM101 follower arm. Each episode is one demonstration with per-frame 6-DOF joint position observations and actions, captured at 30 fps.

  • Robot: SO-ARM101 follower (6-DOF arm, robot_type = so101_follower).
  • Episodes: 80 demonstrations of one task ("Feed Nuts").
  • Frames: 74,355 timesteps total, recorded at 30 fps.
  • Source format: LeRobot v3.0.

Schema (TsFile structure)

All 80 episodes are stored in the TsFile table model, using episode_index and task_index as TAG (device) dimensions.

  • Time (INT64, milliseconds) — per-frame timestamp, restarts at 0 for each episode (round(timestamp * 1000); ~33 ms apart at 30 fps).
  • episode_index (TAG) — demonstration id (0–79). Query a single episode with WHERE episode_index=0.
  • task_index (TAG) — task id (always 0; the dataset has one task, "Feed Nuts").
  • frame_index (FIELD, INT64) — frame number within the episode.
  • sample_index (FIELD, INT64) — the source global index column.
  • observation_state_0 .. observation_state_5 (FIELD, FLOAT) — 6-DOF observed joint positions (shoulder_pan, shoulder_lift, elbow_flex, wrist_flex, wrist_roll, gripper).
  • action_0 .. action_5 (FIELD, FLOAT) — 6-DOF commanded joint positions, same ordering as the state.

The source timestamp column is dropped because it equals Time / 1000. The converted table is stored across multiple .tsfile shards (data/soarm101_feeding_nuts_*.tsfile); together they hold all 74,355 rows. Camera videos are not included in this repository (see below).

Usage

Read the .tsfile files with the Apache TsFile Java or Python SDK.

# pip install tsfile
from tsfile import TsFileReader
reader = TsFileReader("data/soarm101_feeding_nuts_1.tsfile")
# query one episode: WHERE episode_index=0

Videos

The original dataset records two camera streams per episode (observation.images.wrist, observation.images.side). These MP4 videos are not included here — they are not time-series data. Retrieve them from the original dataset under HCIS-Lab/soarm101-feeding-nuts/videos.

Source & license

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