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.

Cucumber Subtask Grab DAgger Iteration 2 (TsFile)

Apache TsFile version of VibeCuisine/cucumber-subtask-grab-DAgger-iter2-task-unified. The source is a LeRobot v3.0 vibeboard_follower_tilt robot dataset.

Overview

The dataset contains one train split with robot trajectories from a cucumber subtask-grab DAgger collection. Source metadata reports 150 episodes, 13,484 frames, one task index, and a 20 FPS sampling rate. The materialized collection was built from the source components VibeCuisine/cucumber-subtask-grab-DAgger-iter1-v1-trim and VibeCuisine/jetson1-062526-grab-doris.

  • Episodes: 150 (episode range 0:150)
  • Rows: 13,484
  • Sampling rate: 20 Hz
  • Converted files: 1 TsFile

Schema (TsFile structure)

  • Time (INT64, milliseconds) - round(timestamp * 1000), restarted for each episode.
  • episode_index (TAG, INT64) - source episode identifier; query an episode with WHERE episode_index = 0.
  • task_index (TAG, INT64) - source task identifier.
  • frame_index, sample_index (FIELD, INT64) - frame position and source index (renamed to sample_index).
  • action_0..action_6 (FIELD, FLOAT) - seven action values in the source order shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos, tilt.pos.
  • observation_state_0..observation_state_6 (FIELD, FLOAT) - seven robot state values in the same source order.

The source timestamp field is omitted because it is represented by Time. Camera features (observation.images.top, observation.images.wrist, and observation.images.base) are not converted; their videos remain in the original dataset's videos/ directory.

Usage

Read data/cucumber_subtask_grab_dagger_iter2_task_unified_train.tsfile with the Apache TsFile Java or Python SDK. The table name is cucumber_subtask_grab_dagger_iter2_task_unified_train.

Source & license

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