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Dataset · Hugging Face

Rapidata/text-2-video-human-preferences-sora-2-pro

Rapidata Video Generation Sora 2 Pro Human Preference In this dataset, ~75k human responses from ~15k human annotators were collected to evaluate the Sora 2 Pro video generation model on our benchmark. This dataset was collected in roughtly 30 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the future, please… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-sora

Author / organizationRapidata
License (as declared)apache-2.0
Downloads145 (as reported by Hugging Face)
Likes9
Created16 October 2025
Last updated at source30 October 2025
videost2vtext-2-videotext2videotext-to-videohumanannotationspreferenceslikertcoherencealignmentwanwan 2.1veo2veopikkaalphasorahunyuanveo3mochi-1seedance-1-proseedanceseedance 1
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