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.

so100_pick

Converted from aaronsu11/so100_pick, a LeRobot SO-100 robot dataset created with LeRobot.

Source Dataset

  • Original dataset: aaronsu11/so100_pick
  • License: apache-2.0
  • Task category: robotics
  • Robot type: so100
  • Source metadata version: LeRobot v2.1
  • Source scale: 125 episodes, 19,980 frames, 250 videos, 30 fps
  • Tasks: task_index=0 is "Pick up the lego block."; task_index=1 is "Pick up a lego block."
  • Modalities: Time-series

Converted Files

  • TsFile table: so100_pick_train
  • TsFile path: data/so100_pick_train.tsfile
  • Rows: 19,980
  • Episode coverage: episode indexes 0..124
  • 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, action_0..5, observation_state_0..5.
  • Source index is renamed to sample_index.
  • Source action[6] is flattened to action_0..5.
  • Source observation.state[6] is flattened to observation_state_0..5.

The 6-dimensional state/action vectors use the source names: main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper.

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 features observation.images.wrist and observation.images.front are not converted to TsFile and videos are not uploaded here; use the original dataset video tree at aaronsu11/so100_pick/videos.

Task-index distribution in the converted table:

  • task_index=0: 75 episodes, 12,194 rows
  • task_index=1: 50 episodes, 7,786 rows

Minimal Read Example

# Read data/so100_pick_train.tsfile with the Apache TsFile Java or Python SDK.
# Table name: so100_pick_train
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