Dataset · Hugging Face

Rapidata/text-2-video-human-preferences-veo3

Name: text-2-video-human-preferences-veo3
Creator: Rapidata
License: apache-2.0
Keywords: task_categories:video-classification, task_categories:text-to-video, task_categories:text-classification, language:en, license:apache-2.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:tabular, modality:text, modality:video, library:datasets, library:pandas, library:mlcroissant, library:polars

Rapidata Video Generation Veo 3 Human Preference In this dataset, ~46k human responses from ~20k human annotators were collected to evaluate Veo3 video generation model on our benchmark. This dataset was collected in roughly 35 minutes 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 consider… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-veo3.

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Author / organization	Rapidata
License (as declared)	apache-2.0
Downloads	1.3K (as reported by Hugging Face)
Likes	21
Created	26 May 2025
Last updated at source	28 July 2025

videost2vtext-2-videotext2videotext-to-videohumanannotationspreferenceslikertcoherencealignmentwanwan 2.1veo2veopikkaalphasorahunyuanveo3

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16 Oct 2026 Description: Rapidata Video Generation Veo 3 Human Preference In this dataset, ~46k human responses from ~20k human annotators were collected to evaluate Veo3 video generation model on our benchmark. This dataset was collected in roughly 35 minutes usin → Rapidata Video Generation Veo 3 Human Preference In this dataset, ~46k human responses from ~20k human annotators were collected to evaluate Veo3 video generation model on our benchmark. This dataset was collected in roughly 35 minutes usin

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