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.
QUVI
Converted from seongjun-k/QUVI, a LeRobot v2.1 robot dataset created with Physical AI Tools and LeRobot.
Source Dataset
- Original dataset:
seongjun-k/QUVI - License:
apache-2.0 - Task category: robotics
- Robot type:
omx_f - Task:
pick(task_index=0) - Source scale: 95 episodes, 14,263 frames, 95 videos, 30 fps
- LeRobot codebase version:
v2.1 - Modalities: Time-series
Converted Files
- TsFile table:
quvi_train - TsFile path:
data/quvi_train.tsfile - Rows: 14,263
- Episode coverage: episode indexes
0..94 - Metadata: source
meta/is mirrored in this repository, withmeta/info.jsonupdated to describe the converted TsFile artifact.
TsFile Schema
Time: integer milliseconds, computed asround(timestamp * 1000).- TAG columns:
episode_index,task_index. - FIELD columns:
frame_index,sample_index,observation_state_0..5,action_0..5. - Source
indexis renamed tosample_index. - Source
observation.state[6]is flattened toobservation_state_0..5. - Source
action[6]is flattened toaction_0..5.
Conversion Notes
The source timestamp column is not kept as a separate field because it is represented by Time / 1000 seconds after conversion. The source video feature observation.images.camera1 is not converted to TsFile and videos are not uploaded here; use the original dataset video tree at seongjun-k/QUVI/videos.
The original meta/info.json reports splits.train as 0:94, but meta/episodes.jsonl contains episode indexes 0..94 and their lengths sum to total_frames=14263. This conversion includes all 95 numeric episode parquet files and records the converted train split as 0:95.
Minimal Read Example
# Read data/quvi_train.tsfile with the Apache TsFile Java or Python SDK.
# Table name: quvi_train
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