Largest Open-Source Human Video Preference Dataset Released: 300K Annotations, 15 SOTA Models Ranked
_akhaliq · x · 2026-09-29
The datapointai team released what they call the largest open-source human video preference dataset and doubled its data grant to $2M.
- Scale: 300K+ preference annotations by real people
- Coverage: 15 SOTA video generation models ranked, including Seedance 2.5, Omni 1.1, Wan 3, and Flux Video 3
- Dimensions: 8 categories covering ads, camera movement, physics plausibility, and more
The dataset and benchmark are open-sourced with a frontier plot, enabling human-preference-based evaluation and training of video generation models.
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