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 66, 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.
so101_grab_red_cube
This dataset converts the numeric time-series from
Tank-123/smolvla_test_0129
to Apache TsFile format.
Modalities: Time-series. The original Hugging Face dataset also includes video streams; videos are not copied into this TsFile repository.
Dataset Description
The source dataset was created using
LeRobot. It contains SO-101 follower
robot demonstrations for the task Grab the red cube..
- Original dataset:
Tank-123/smolvla_test_0129 - Robot type:
so101_follower - Task:
Grab the red cube. - Episodes: 72
- Frames / TsFile rows: 26,610
- Sampling rate: 30 fps
- Tasks: 1
- Source split:
train(0:72) - License: apache-2.0
- Source data path:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet - Source video path:
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
Converted Data
The converted repository contains one TsFile:
data/so101_grab_red_cube.tsfile
Conversion details:
- All 72 source episodes are stored in one TsFile table named
so101_grab_red_cube. episode_indexandtask_indexare TsFile TAG columns. Query a single episode withWHERE episode_index=N.Time = round(timestamp * 1000)in milliseconds, restarting per episode.- The source
timestampcolumn is not retained because it equalsTime / 1000seconds after conversion. frame_indexis kept. Sourceindexis renamed tosample_index.- Vector columns preserve the source column name when flattened:
.is replaced with_, and the element index is appended. - Flattened vector values are stored as single-precision FLOAT fields.
- Aside from the redundant
timestampcolumn, no numeric time-series columns or rows are intentionally dropped.
Flattened vector features:
action[6]->action_0..action_5observation.state[6]->observation_state_0..observation_state_5
Schema
Time: TsFile time column, integer milliseconds.- TAG columns:
episode_index,task_index. - FIELD columns:
frame_index,sample_index,action_0..action_5,observation_state_0..observation_state_5.
Videos
Videos are not included in this TsFile repository. They remain in the original
dataset under
videos/.
The original video features are:
observation.images.laptopobservation.images.phone
Use episode_index, frame_index, and Time to align rows in the TsFile with
the original video frames.
Metadata
The source meta/ files are mirrored into this repository. The uploaded
meta/info.json rewrites data_path to data/so101_grab_red_cube.tsfile and
adds a tsfile_conversion object documenting the source dataset, row count,
time mapping, TAG columns, flattened features, dropped timestamp column, and
video policy.
Usage
Read the TsFile with the Apache TsFile Java or Python SDK:
tsfile_path = "data/so101_grab_red_cube.tsfile"
# Example SQL idea:
# SELECT * FROM so101_grab_red_cube WHERE episode_index = 0
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