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 68, 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.

Scripted Atomic Step Pose 0.6 TsFile

This Apache TsFile dataset is based on windfromthenorth/scripted_atomic_step_pose_0.6, a LeRobot v2.1 simulation dataset containing UR5/WSG50 trajectories for placing a LEGO brick on an assembly board.

Source and Attribution

  • Original dataset: windfromthenorth/scripted_atomic_step_pose_0.6
  • Author and repository publisher: Andy Tang (windfromthenorth)
  • License: Apache-2.0
  • Task: place the lego brick on the assembly board
  • Robot type: ur5_wsg50_lego_atomic_step
  • LeRobot version: v2.1
  • Split: train (0:955)
  • Sampling rate: 20 fps
  • Scale: 955 episodes, 159,935 frames, 1 task, 955 source Parquet shards
  • Source layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
  • Paper, external homepage, and completed citation: not provided by the source card

The TsFile table is windfromthenorth_scripted_atomic_step_pose_0_6 and contains 159,935 rows in data/windfromthenorth_scripted_atomic_step_pose_0_6.tsfile. Source metadata is retained under meta/, with meta/info.json updated for the TsFile table.

Schema and Mapping

Time = round(timestamp * 1000) milliseconds. Time starts at zero and advances in 50 ms steps within every episode.

TsFile column Role Type Source mapping
Time TIME TIMESTAMP round(timestamp * 1000) ms
episode_index TAG STRING Original INT64 episode index
task_index TAG STRING Original INT64 task index
frame_index FIELD INT64 Preserved
sample_index FIELD INT64 Renamed from index
action_0 ... action_6 FIELD FLOAT Flattened from action[7]
observation_state_0 ... observation_state_19 FIELD FLOAT Flattened from observation.state[20]

Dots in source names are replaced by underscores. The source timestamp is not repeated because it is represented by Time / 1000 seconds. The constant prompt string is not stored as a measurement; its value remains in meta/tasks.jsonl. No numeric row, episode, task, state dimension, or action dimension is omitted.

Videos

The original repository has no video location: its meta/info.json declares total_videos: 0 and video_path: null, and its remote file tree has no videos/ directory. Therefore this TsFile dataset contains no videos. The numeric rows are indexed by episode_index and frame_index for any later external alignment.

Minimal Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/windfromthenorth_scripted_atomic_step_pose_0_6.tsfile")
with reader.query_table(
    "windfromthenorth_scripted_atomic_step_pose_0_6",
    ["episode_index", "task_index", "frame_index", "sample_index",
     "action_0", "observation_state_0"],
    batch_size=65536,
) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()

Citation

The source card does not provide a paper or completed BibTeX entry. Cite the original Hugging Face dataset and Andy Tang (windfromthenorth) when using this dataset.

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