ClarusC64/autonomous-driving-counterfactual-branch-generation-v0.1

What this dataset tests Whether a system can generate plausible counterfactual branches from a seed driving scene. This is not imagination. It is constrained alternative generation. Required outputs branch_id initiating_agent counterfactual_action plausibility_score simulated_outcome_summary branch_tree_depth Scoring conventions plausibility ranges 0 to 1 depth is the branch depth in the scenario tree outcome summary describes the simulated end state and recovery Use case… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-counterfactual-

<iframe src="https://silytics.si/embed/item/9581d091-1e40-4e68-8308-e470940c33b0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.