Alan123/reacthuman-benchmark-scaled

ReactHuman Benchmark — Scaled A physics-grounded benchmark of household hazard scenarios for evaluating embodied reactive decision-making. Each scene renders an object undergoing a physical event (falling, tipping, thrown, bouncing, …) toward an observer; the ground-truth action label (EXECUTE_CATCH / TRIGGER_DODGE / BRACE_FOR_IMPACT) is derived from object properties, not speed. Generated in LLM mode driving a procedural physics randomizer: Claude routes each natural-language… See the full description on the dataset page: https://huggingface.co/datasets/Alan123/reacthuman-benchmark-scaled.

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