Datasets:
Dataset Viewer
The dataset viewer is not available for this subset.
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 68, 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.
pick_place_cube_1.18 TsFile
Converted from the Hugging Face dataset
CSCSXX/pick_place_cube_1.18
to Apache TsFile format.
The source dataset was created with
LeRobot. It is an SO-100 robot
pick-place-cube dataset with one task: pick-place-cube.
Dataset Facts
- Modalities: Time-series. Source video streams are available only in the original dataset.
- License: Apache-2.0.
- Robot type:
so100. - Codebase version:
v2.0. - Episodes: 50.
- Frames / converted rows: 16,491.
- Tasks: 1.
- Source split:
trainepisodes0:50. - Sampling rate: 30 fps.
- Source videos: 100 videos from
observation.images.topandobservation.images.side. - Converted file:
data/pick_place_cube_1_18.tsfile.
Converted Schema
The converted TsFile table is named pick_place_cube_1_18.
Time: int64 millisecond timestamp, synthesized asround(timestamp * 1000).- TAG columns:
episode_index,task_index. - FIELD columns:
frame_index,sample_index,action_0toaction_5, andobservation_state_0toobservation_state_5.
The original vector columns are flattened as scalar fields:
actionwith shape[6]becomesaction_0toaction_5.observation.statewith shape[6]becomesobservation_state_0toobservation_state_5.
Conversion Notes
- Numeric LeRobot frame Parquet files from
data/chunk-*/*.parquetwere merged into one TsFile. Timeuses millisecond precision and restarts per episode, matching the source timestamp convention.- The source
timestampcolumn is not retained as a separate field because it is redundant withTime / 1000seconds. - The source
indexcolumn is renamed tosample_index. - Source
meta/files are mirrored, withmeta/info.jsonupdated to describe the converted TsFile artifact and original video location. - Video streams are not uploaded to this repository. They remain in the
original Hugging Face dataset under
videos/.
Read Example
from tsfile import TsFileReader
path = "data/pick_place_cube_1_18.tsfile"
with TsFileReader(path) as reader:
schemas = reader.get_all_table_schemas()
print(schemas.keys())
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