Datasets:

azithromycin
/

pseudolab_omx_f_PickUpDollWith2Cam

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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OMX-F Pick Up Doll With 2 Cameras TsFile

This is an Apache TsFile conversion of pseudolab/omx_f_PickUpDollWith2Cam, a LeRobot v2.1 OMX-F dataset containing demonstrations of picking up dolls with two cameras.

Source and provenance

Original dataset: pseudolab/omx_f_PickUpDollWith2Cam
Repository owner: pseudolab
Uploader and commit author: LeoKimDowny
License: Apache-2.0
Paper/citation: not provided by the source repository
Robot: omx_f; LeRobot codebase: v2.1
Split: train; sampling frequency: 60 fps
Task 0: Pick Up Dolls with 2 Cameras (4 episodes, 4,019 rows)
Task 1: Pick up Dolls (90 episodes, 108,040 rows)
Scale: 94 episodes, 112,059 rows, two task labels, 94 source Parquet shards
Source data path: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

The source README embeds an obsolete two-episode info.json example. The counts above come from the pinned repository's current meta/info.json, all 94 Parquet footers, and the complete repository tree.

Schema

Column or group	TsFile role	Type	Notes
`Time`	TIME	INT64	`round(timestamp * 1000)` ms; restarts at zero per episode
`episode_index`	TAG	STRING	Original integer value stored as a TsFile device/TAG segment
`task_index`	TAG	STRING	Original integer value stored as a TsFile device/TAG segment
`frame_index`	FIELD	INT64	Original per-episode frame index
`sample_index`	FIELD	INT64	Renamed from source `index`
`action_0` ... `action_5`	FIELD	FLOAT	Flattened source `action[6]`
`observation_state_0` ... `observation_state_5`	FIELD	FLOAT	Flattened source `observation.state[6]`

Conversion details

Time: TS_2DIFF + LZ4
FLOAT/DOUBLE: GORILLA + LZ4
INT32/INT64: TS_2DIFF + LZ4
BOOLEAN: RLE + LZ4 when present; this source has no BOOLEAN field
TAG values use the TsFile table-model device/tag mechanism.
All train episodes are merged into one table and sorted by TAG columns and Time.
Source timestamp is dropped because it is represented by Time / 1000 seconds.
No numeric rows, action/state dimensions, frame indexes, episode indexes, or task indexes are dropped.
Camera pixels are video assets rather than Parquet columns and are not embedded in TsFile.

Videos

Videos are not included in this TsFile dataset. They remain in the original repository under videos/chunk-000/ using this template: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4.

Original video stream	Files	Bytes	Resolution	Codec
`observation.images.camera1`	94	604,862,192	640x480	H.264 (`libx264`)
`observation.images.camera2`	94	723,597,522	640x480	H.264 (`libx264`)

The two streams total 188 MP4 files and 1,328,459,714 bytes. Use episode_index and frame_index to align each TsFile row with both original camera streams at 60 fps.

Minimal read example

from tsfile import TsFileReader

reader = TsFileReader("data/pseudolab_omx_f_pick_up_doll_with_2_cam.tsfile")
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_0",
    "observation_state_0",
]
with reader.query_table("pseudolab_omx_f_pick_up_doll_with_2_cam", columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()

Citation

The source repository provides no formal citation. Cite the original Hugging Face dataset, repository owner pseudolab, and uploader LeoKimDowny when using this conversion.

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