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stellalisy/IsoVRBench

IsoVRBench Paper · Code Video preference pairs built by controlled intervention instead of human labeling. Each pair is a generated video and a counterpart that differs in one deliberate respect, so the construction fixes both the preferred side and the property being tested. Human validation checked once per intervention that the change is visible; no pair carries a human label. split pairs clips use test 8,000 15,047 the IsoVRBench benchmark, 1,000 pairs per… See the full description on the dataset page: https://huggingface.co/datasets/stellalisy/IsoVRBench.

Author / organizationstellalisy
License (as declared)other
Downloads490 (as reported by Hugging Face)
Likes2
Created11 September 2026
Last updated at source14 October 2026
reward-modelvideo-generationevaluationpreference-learningtemporal-reasoningsynthetic-data
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