Datasets:

azithromycin
/

charleyong_so100_y_cube_3cam

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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SO100 Y Cube 3Cam TsFile

Apache TsFile conversion of charleyong/so100_y_cube_3cam, a LeRobot v2.1 so100 robot dataset.

Source and provenance

Original dataset: https://huggingface.co/datasets/charleyong/so100_y_cube_3cam
Inspected revision: be2d0d7d577110468fe8108e17b1ff6dd1c14f57
Original author/uploader: Charles Yong (charleyong)
License: Apache-2.0; task: Grasp the Y cube, keep the “Y” upright (not upside-down), and place it at the center.; split: train (0:30)
Sampling rate: 30 fps; 30 episodes; 26,413 frame rows; 1 task; 30 Parquet shards
Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

The source card provides no paper or BibTeX citation.

TsFile schema and conversion

Time = round(timestamp * 1000) as INT64 milliseconds, restarting at zero per episode. The source timestamp is dropped as redundant (Time / 1000 seconds). index is renamed to sample_index; frame_index is retained.

Role	Columns
Time	`Time` (INT64, milliseconds)
TAG/device	`episode_index`, `task_index`
FIELD	`frame_index`, `sample_index` (INT64)
FIELD	`action[6]` -> `action_0` ... `action_5` (FLOAT)
FIELD	`observation.state[6]` -> `observation_state_0` ... `observation_state_5` (FLOAT)

No rows or numeric state/action dimensions are dropped.

Videos (not included)

The source contains 90 MP4 files (849,055,606 bytes), 30 per stream:

observation.images.wrist
observation.images.right_stationary
observation.images.left_stationary

They live under videos/ at videos/chunk-000/{observation.images.wrist,observation.images.right_stationary,observation.images.left_stationary}/episode_XXXXXX.mp4. Videos are not copied to or uploaded with this TsFile repository. Numeric rows remain frame-aligned via episode_index and frame_index.

Minimal read example

from tsfile import TsFileReader
reader = TsFileReader("data/charleyong_so100_y_cube_3cam.tsfile")
with reader.query_table("charleyong_so100_y_cube_3cam", ["episode_index", "task_index", "Time", "frame_index", "action_0"], batch_size=4096) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

Please cite the original Hugging Face dataset and Charles Yong (charleyong).

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