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.

Sock 2 Only More Orange TsFile

This repository presents the numeric time-series portion of makermods/sock_2_only_more_orange, a LeRobot v3.0 SO follower robot dataset for putting a sock in the matching bin.

Source And Attribution

  • Original dataset and author: makermods
  • Repository owner and uploader: makermods
  • License: Apache-2.0
  • Task: put sock in matching bin
  • Split: train; 145 episodes, 49,791 frames, 1 task, sampled at 30 fps
  • Source numeric layout: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
  • The source card provides no paper, homepage, or completed citation.

Data Layout

The data/makermods_sock_2_only_more_orange.tsfile table is makermods_sock_2_only_more_orange. It contains 49,791 rows over 145 episode devices. Time is round(timestamp * 1000) in milliseconds, starts at zero for each episode, and increases within each episode. The source timestamp column is omitted because it equals Time / 1000 seconds.

Column Role Type Source mapping
Time TIME TIMESTAMP round(timestamp * 1000) ms
episode_index, task_index TAG STRING Original int64 columns
frame_index FIELD INT64 Preserved
sample_index FIELD INT64 Renamed from index
action_0 ... action_5 FIELD FLOAT Flattened from action[6]
observation_state_0 ... observation_state_5 FIELD FLOAT Flattened from observation.state[6]

The six action and state dimensions are, in order: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, and gripper.pos.

Storage Profile

  • FLOAT and DOUBLE: GORILLA + LZ4
  • INT32 and INT64: TS_2DIFF + LZ4
  • Time: TS_2DIFF + LZ4
  • BOOLEAN: RLE + LZ4
  • TAG: TsFile table/device TAG mechanism

Source Videos

Videos remain exclusively in the original Hugging Face dataset and are not included here. The source paths are:

Each stream is AV1, 640x480, 30 fps, without audio. Video files use videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4. Use episode_index, frame_index, and the original episode metadata to align numeric samples with frames.

Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/makermods_sock_2_only_more_orange.tsfile")
with reader.query_table(
    "makermods_sock_2_only_more_orange",
    ["episode_index", "task_index", "frame_index", "sample_index", "action_0"],
    batch_size=65536,
) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

Citation

The source dataset does not provide a paper or completed citation. Cite the original makermods/sock_2_only_more_orange dataset and its repository owner, makermods.

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