Datasets:

XNX25
/

makermods_sock_green

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.

Sock Green TsFile

This repository contains the numeric time-series portion of makermods/sock_green, a LeRobot v3.0 SO follower robot dataset for sorting a green sock into the green bin.

Source And Attribution

Original dataset and author: makermods
Repository owner and uploader: makermods
License: Apache-2.0
Task: sort green sock and put into green bin
Split: train (0:52), 52 episodes, 23,403 frames, 1 task, 30 fps
Source shards: 4 Parquet files; source video files: 8 (4 front and 4 wrist)
Source numeric layout: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
The source repository does not publish a paper, homepage, or citation.

Data Layout

The data/makermods_sock_green.tsfile table is makermods_sock_green. It contains 23,403 rows across 52 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 is represented by Time / 1000 seconds.

Column	Role	Type	Source mapping
`Time`	TIME	INT64	`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.

Source Videos

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

Both streams are AV1, 640x480, 30 fps, without audio, and 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_green.tsfile")
with reader.query_table(
    "makermods_sock_green",
    ["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_green dataset and its repository owner, makermods.

Downloads last month: 28

Total file size:

636 kB