ClarusC64/autonomous-driving-minimal-harm-gradient-pathfinding-v0.1
What this dataset tests Whether a system can navigatea minimal-harm gradient through a driving scene. The task is to identify the paththat minimizes total deformationacross all agents. Required outputs gradient vectors across actions minimal harm path deformation score stability margin Use case Second layer of ethical navigation stack. Transforms ethical cost fieldinto an actionable path. Evaluation Predictions must: describe… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-minimal-harm-gradient-pathfinding-v0.1.
| Author / organization | ClarusC64 |
|---|---|
| License (as declared) | mit |
| Downloads | 126 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 February 2026 |
| Last updated at source | 6 February 2026 |
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126 now (-9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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