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syp115/EgoConseq-Bench

EgoConseq-Bench data snapshot Complete P_bench/data/ research snapshot dated 2026-09-11, paired with the project code. The benchmark tests spatial prediction under specified ego-motion from an initial egocentric observation, body radius, camera configuration, and forward/turn actions. The benchmark contains 4,999 Seen and 2,000 Unseen questions. Its eight tasks are: ID Task Seen Unseen A1 Collision occurrence 600 250 A2 First-collision action 800 250 A3… See the full description on the dataset page: https://huggingface.co/datasets/syp115/EgoConseq-Bench.

Author / organizationsyp115
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Created11 September 2026
Last updated at source11 September 2026
roboticsembodied-aispatial-reasoningnavigationvisual-question-answering
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