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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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.
S2S Certified Motion Dataset
Physics-certified sensor data from real humans and robot teleoperation. Every record includes a physics score, tier, and which laws passed or failed.
First physics audit of Open-X Embodiment (RoboTurk) ever published.
Contents
| File | Dataset | Episodes | Windows |
|---|---|---|---|
| roboturk_audit.json | RoboTurk (Open-X, Stanford) | 216 | 1,143 |
| ninapro_audit.json | NinaPro DB5 (2000Hz forearm EMG) | 10 subjects | 9,552 |
Key Findings
RoboTurk — 216 human-teleoperated episodes:
- 78.1% pass rate (GOLD+SILVER)
- Top failing law:
imu_internal_consistency32.4% - Finding: commanded rotation ≠ real gyroscope in smartphone teleoperation interface
NinaPro DB5 — real human IMU 2000Hz:
- 100% SILVER — all 10 subjects certified biological
- Hurst H = 0.60–0.79
Reproduce
pip install s2s-certify
git clone https://github.com/timbo4u1/S2S
cd S2S && python3 certify_roboturk.py
Citation
DOI: 10.5281/zenodo.18878307 GitHub: https://github.com/timbo4u1/S2S
- Downloads last month
- 6