Datasets:
The dataset viewer is not available for this subset.
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.
Demo Insert Connector1 Center TsFile
This dataset is an Apache TsFile conversion of
1g0rrr/demo_insert_connector1_center, a LeRobot v2.1
bimanual robot-manipulation dataset containing demonstrations of the task
"Insert connector."
The converted repository contains numeric robot trajectories, timing, and episode/task tags. The four frame-aligned camera streams remain only in the original Hugging Face repository.
Source Dataset and Attribution
- Source dataset:
1g0rrr/demo_insert_connector1_center - Original creator/uploader: Igor (
1g0rrr) - Attribution evidence: all three source repository commits are authored by
1g0rrr; the profile fullname is Igor. - License: Apache-2.0
- Robot type:
sam_evt2 - LeRobot codebase version:
v2.1 - Task:
Insert connector(task_index = 0) - Split:
train(0:52) - Scale: 52 episodes, 10,035 frames, 1 task, 30 fps
- Source frame files: 52 per-episode Parquet files totaling 1,067,353 bytes
- Source frame layout:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet - Source video layout:
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4 - Paper/citation: the source card provides no paper, homepage, or completed BibTeX citation.
Original Videos
Videos are not included in this TsFile dataset or its upload-ready directory. Use the pinned original dataset files:
observation.images.front: 52 MP4 files, 3,269,340 bytesobservation.images.side: 52 MP4 files, 9,331,735 bytesobservation.images.wrist_left: 52 MP4 files, 9,063,693 bytesobservation.images.wrist_right: 52 MP4 files, 7,618,885 bytes
The 208 MP4 files total 29,283,653 bytes. They remain aligned with the numeric
trajectory through the unchanged episode_index and frame_index values.
Minimal Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/demo_insert_connector1_center.tsfile")
columns = [
"episode_index",
"task_index",
"frame_index",
"sample_index",
"action_0",
"observation_state_0",
]
with reader.query_table("demo_insert_connector1_center", columns, batch_size=65536) as result:
batch = result.read_arrow_batch()
print(batch.to_pandas().head())
reader.close()
Citation
The original dataset does not provide a paper or completed citation. Cite the
original Hugging Face dataset and Igor (1g0rrr) when using this conversion.
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