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.

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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.

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