Dataset Viewer
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Cannot get the split names for the config 'default' of the dataset.
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.
Task 7 Open Fridge Door TsFile
Apache TsFile conversion of gistailab/task7-open-fridge-door, a LeRobot v3.0 mobileai_robot dataset for Open the fridge door while holding the beaker.
Source and provenance
- Original dataset: https://huggingface.co/datasets/gistailab/task7-open-fridge-door
- Publisher/uploader: GIST AI LAB (gistailab)
- License: Apache-2.0
- Paper/citation: not supplied by the original dataset card
- Train split: 1,001 episodes, 218,007 rows, 1 task
- Sampling rate: 30 fps; 17 source Parquet shards
Videos (not included)
Videos remain in the pinned original repository and are not copied or uploaded. It has 51 H.264 MP4 files (819,541,558 bytes):
- observation.images.cam_high: 17 MP4 files, 126,451,739 bytes
- observation.images.cam_left_wrist: 17 MP4 files, 371,771,830 bytes
- observation.images.cam_right_wrist: 17 MP4 files, 321,317,989 bytes
Source template: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4. Each shard contains multiple episodes; meta/episodes records per-episode from_timestamp/to_timestamp offsets. Numeric rows remain aligned through episode_index and frame_index.
Minimal read example
from tsfile import TsFileReader
reader = TsFileReader("data/gistailab_task7_open_fridge_door.tsfile")
with reader.query_table(
"gistailab_task7_open_fridge_door",
["episode_index", "task_index", "Time", "frame_index", "action_0"],
batch_size=65536,
) as result:
print(result.read_arrow_batch().to_pandas().head())
reader.close()
Citation
The source card supplies no paper or BibTeX entry. Cite the original dataset, GIST AI LAB, and the pinned revision above.
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