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 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.
SO101 Test TsFile
This Apache TsFile dataset is based on
Tank-123/so101_test, a LeRobot v2.1 SO101 robot dataset. The
recorded task is to grasp a LEGO block and put it in the bin.
Source
- Repository owner, publisher, and visible contributor: Tank (
Tank-123) - License: Apache-2.0
- Paper or formal citation: not supplied by the source dataset card
- Robot type:
so101 - Split:
train - Sampling rate: 30 fps
- Scale: 50 episodes, 18,537 frame rows, 1 task, 50 source data files
- Source data 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
Task index 0 is "Grasp a LEGO block and put it in the bin."
TsFile Data
- Path:
data/tank_123_so101_test.tsfile - Table:
tank_123_so101_test - Rows: 18,537
- Episode/task devices: 50
- Time precision: milliseconds
- Source numeric-data size: 1,009,764 bytes
- TsFile size: 347,560 bytes
The train split is one table. Use episode_index and task_index as TAG
filters to select an episode or task.
Schema
Time = round(timestamp * 1000) milliseconds and restarts at zero in every
episode. Source timestamp is omitted because it equals Time / 1000 seconds.
| Column | TsFile role | Type | Source mapping |
|---|---|---|---|
Time |
TIME | INT64 |
round(timestamp * 1000) |
episode_index |
TAG | STRING device segment |
Source episode_index |
task_index |
TAG | STRING device segment |
Source task_index |
frame_index |
FIELD | INT64 |
Preserved |
sample_index |
FIELD | INT64 |
Source index |
action_0 ... action_5 |
FIELD | FLOAT |
Flattened from action[6] |
observation_state_0 ... observation_state_5 |
FIELD | FLOAT |
Flattened from observation.state[6] |
The six action and state dimensions are main_shoulder_pan,
main_shoulder_lift, main_elbow_flex, main_wrist_flex,
main_wrist_roll, and main_gripper. All source rows, episodes, tasks, action
dimensions, and state dimensions are retained.
Videos
Videos are not included here. The original repository stores two 640x480 AV1
MP4 streams per episode at 30 fps without audio: observation.images.laptop
and observation.images.phone. The source video directory
contains 100 files and is displayed as about 406 MB on Hugging Face.
episode_index and frame_index preserve alignment with both original
per-episode streams.
Usage
from tsfile import TsFileReader
reader = TsFileReader("data/tank_123_so101_test.tsfile")
with reader.query_table(
"tank_123_so101_test",
["episode_index", "task_index", "frame_index", "sample_index",
"action_0", "observation_state_0"],
batch_size=65536,
) as result:
print(result.read_arrow_batch().to_pandas().head())
reader.close()
Citation
The source card does not provide a paper or completed citation. Cite the
original Hugging Face repository and its owner/publisher, Tank-123.
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