Datasets:

azithromycin
/

sihyun77_suho_main_2

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.

Suho Main 2 TsFile

This dataset is an Apache TsFile conversion of sihyun77/suho_main_2, a LeRobot v2.1 SO100 robot-manipulation dataset for grasping a LEGO block and placing it in a bin. It contains numeric trajectories, timing, and episode/task tags. Videos remain in the original Hugging Face repository.

Source Dataset and Attribution

Original dataset: sihyun77/suho_main_2
Original author, repository owner, uploader, and only listed contributor: sihyun77
License: Apache-2.0
Task: "Grasp a lego block and put it in the bin."
Robot: so100; LeRobot version: v2.1
Split: train; sampling rate: 30 fps
Scale: 53 episodes, 30,653 frames, 1 task
Source shards: 53 Parquet files totaling 1,559,835 bytes
Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
Paper, external homepage, and completed citation: not provided by the source card.

The source README embeds an older 15-episode copy of meta/info.json. The current meta/info.json, 53 Parquet files, meta/episodes.jsonl, and the repository tree consistently describe the 53-episode dataset and are used here.

TsFile Data

TsFile: data/sihyun77_suho_main_2.tsfile (503,628 bytes)
Table: sihyun77_suho_main_2
Rows: 30,653; episodes/devices: 53; tasks: 1
Time precision: milliseconds
TsFile/source-Parquet size ratio: 0.323
meta/ is preserved from the source, with only meta/info.json rewritten to describe the TsFile schema and source-video alignment.

Schema and Mapping

Time = round(timestamp * 1000) milliseconds. Time starts at zero and is strictly increasing inside every episode. The source timestamp is dropped afterward because it is represented by Time / 1000 seconds at the selected precision.

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_5`	FIELD	FLOAT	Flattened from `action[6]`
`observation_state_0` ... `observation_state_5`	FIELD	FLOAT	Flattened from `observation.state[6]`

The six vector dimensions are main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper. Dots in source names are replaced by underscores. No numeric row, episode, task, state dimension, or action dimension is dropped.

Encodings and Compression

FLOAT/DOUBLE: GORILLA + LZ4
INT32/INT64: TS_2DIFF + LZ4
Time: TS_2DIFF + LZ4
BOOLEAN: RLE + LZ4 (the source contains no BOOLEAN field)
TAG: TsFile table/device TAG storage

Videos

Videos are not included in this TsFile repository. The source contains 106 frame-aligned AV1 MP4 files, 640x480 at 30 fps with no audio, in two streams with 53 episode files each:

The source layout is videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Use episode_index, frame_index, and meta/episodes.jsonl to align numeric rows with the original video frames. The 106 videos correspond to 53 episodes across the two camera streams.

Minimal Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/sihyun77_suho_main_2.tsfile")
with reader.query_table(
    "sihyun77_suho_main_2",
    ["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 provides no paper or completed citation. Cite the original Hugging Face dataset and sihyun77 when using this conversion.

Downloads last month: 21

Total file size:

636 kB