ClarusC64/autonomous-driving-ethical-cost-field-construction-v0.1
What this dataset tests Whether an intelligence system can constructan ethical cost field for a driving scene. The task is not to choose an action.The task is to model how harm distributes across agents. Required outputs ethical cost field agent harm vectors aggregate deformation score rights infringement index uncertainty band Use case Foundation layer for ethical navigation systems.Trains models to map harm before selecting actions.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-ethical-cost-field-construction-v0.1.
| Author / organization | ClarusC64 |
|---|---|
| License (as declared) | mit |
| Downloads | 129 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 February 2026 |
| Last updated at source | 6 February 2026 |
Popularity, last 2 days
129 now. Counts as reported by the source, snapshotted daily by Silytics.
More from ClarusC64
- ClarusC64/clinical-stability-benchmarkDataset
- ClarusC64/maritime-bunker-consumption-voyage-plan-coherence-risk-v0.1Dataset
- ClarusC64/autonomous-driving-human-vehicle-coupling-coherence-scoring-v0.1Dataset
- ClarusC64/autonomous-driving-driver-vehicle-coherence-optimal-policy-selection-v0.1Dataset
- ClarusC64/autonomous-driving-driver-state-manifold-estimation-v0.1Dataset
- ClarusC64/autonomous-driving-counterfactual-branch-generation-v0.1Dataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.