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.
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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-2-pro.