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.
LIBERO Plus Spatial Texture All UR5e Failures TsFile
This dataset is an Apache TsFile conversion of LSY-lab/libero_plus_spatial_texture_all_ur5e_failures, a
LeRobot v3.0 UR5e manipulation dataset containing failure trajectories across
ten spatial-texture variants of a LIBERO-Plus bowl-placement task. The source repository is published by
LSY-lab; the original uploader/author is
Maximilian Christof (max-chr).
Source Dataset and Attribution
- Original dataset:
LSY-lab/libero_plus_spatial_texture_all_ur5e_failures - Source organization: LSY-lab
- Original uploader/author: Maximilian Christof (
max-chr) - License: Apache-2.0
- Robot type:
ur5e; LeRobot codebase:v3.0 - Sampling rate: 20 fps; split:
train - The source card does not provide a dataset-specific paper citation or BibTeX entry.
- Source frame layout:
data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet - Source video layout:
videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
Videos and Frame Alignment
Videos are not copied to this TsFile repository. Retrieve them from the
original videos/ tree. Align numeric rows to MP4 frames using
episode_index and frame_index; meta/episodes/chunk-000/file-000.parquet
contains each stream's chunk/file and timestamp ranges.
Minimal Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/lsy_lab_libero_plus_spatial_texture_all_ur5e_failures.tsfile")
table_name = "lsy_lab_libero_plus_spatial_texture_all_ur5e_failures"
columns = [
"episode_index", "task_index", "frame_index", "sample_index",
"action_0", "observation_state_0",
]
with reader.query_table(table_name, columns, batch_size=65536) as result:
batch = result.read_arrow_batch()
print(batch.to_pandas().head())
reader.close()
The dataset-specific YAML and converter remain available locally under
D:/code/config/ and D:/code/scripts/; validation reports are local artifacts
and are not part of the TsFile upload set.
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