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.
SO100 Nut Test 11 TsFile
This dataset is an Apache TsFile conversion of
356c/so100_nut_test_11, a LeRobot v2.1 SO100
robot-manipulation dataset for picking up a nut and dropping it in a cup.
Source Dataset and Attribution
- Original dataset:
356c/so100_nut_test_11 - Original author, repository owner, uploader, and sole contributor: 356c
- License: Apache-2.0
- Task: "Pick up nut and drop in cup."
- Robot:
so100; LeRobot version:v2.1 - Split:
train; sampling rate: 30 fps - Scale: 100 episodes, 38,691 frames, 1 task
- Source shards: 100 Parquet files totaling 2,190,148 bytes
- Source layout:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet - The source card provides no paper, external homepage, or completed citation.
TsFile Data
- Path:
data/356c_so100_nut_test_11.tsfile - Table:
356c_so100_nut_test_11 - Rows: 38,691; episodes/devices: 100; tasks: 1
- Time precision: milliseconds
- TsFile/source-Parquet size ratio: 0.330
Schema and Mapping
Time = round(timestamp * 1000) milliseconds. Time starts at zero and is
strictly increasing in every episode. The source timestamp is omitted after
conversion because it is recoverable as Time / 1000 seconds.
| TsFile column | Role | Type | Source mapping |
|---|---|---|---|
Time |
TIME | TIMESTAMP | round(timestamp * 1000) ms |
episode_index |
TAG | STRING | Original INT64 episode index |
task_index |
TAG | STRING | Original INT64 task index |
frame_index |
FIELD | INT64 | Preserved |
sample_index |
FIELD | INT64 | Renamed from 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 vector dimensions are main_shoulder_pan, main_shoulder_lift,
main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper.
Dots in source names are replaced by underscores. No numeric row, episode,
task, action dimension, or state dimension is dropped.
Encodings and Compression
- FLOAT/DOUBLE: GORILLA + LZ4
- INT32/INT64: TS_2DIFF + LZ4
- Time: TS_2DIFF + LZ4
- BOOLEAN: RLE + LZ4 (the source has no BOOLEAN field)
- TAG: TsFile table/device TAG storage
Videos
Videos are not included in this TsFile dataset. The 300 original AV1 MP4 files remain in the source repository, 640x480 at 30 fps with no audio, in three streams with 100 episode files each:
The source layout is
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4.
Use episode_index and frame_index to align numeric rows with video frames.
Minimal Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/356c_so100_nut_test_11.tsfile")
with reader.query_table(
"356c_so100_nut_test_11",
["episode_index", "task_index", "frame_index", "sample_index",
"action_0", "observation_state_0"],
batch_size=65536,
) as result:
batch = result.read_arrow_batch()
print(batch.to_pandas().head())
reader.close()
Citation
The source card supplies no paper or completed citation. Cite the original
Hugging Face dataset and its publisher, 356c, when using this conversion.
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