Dataset · Hugging Face

Rapidata/text-2-video-human-preferences-wan2.1

Name: text-2-video-human-preferences-wan2.1
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:n<1K, format:parquet, modality:image, modality:tabular, modality:text, modality:video, library:datasets, library:pandas, library:mlcroissant, library:polars

Rapidata Video Generation Alibaba Wan2.1 Human Preference If you get value from this dataset and would like to see more in the future, please consider liking it. This dataset was collected in ~1 hour total using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Overview In this dataset, ~45'000 human annotations were collected to evaluate Alibaba Wan 2.1 video generation model on our benchmark. The up to date… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-wan2.1.

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Author / organization	Rapidata
License (as declared)	apache-2.0
Downloads	462 (as reported by Hugging Face)
Likes	21
Created	7 March 2025
Last updated at source	11 March 2025

videost2vtext-2-videotext2videotext-to-videohumanannotationspreferenceslikertcoherencealignmentwanwan 2.1veo2veopikkaalphasorahunyuan

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16 Oct 2026 Description: Rapidata Video Generation Alibaba Wan2.1 Human Preference If you get value from this dataset and would like to see more in the future, please consider liking it. This dataset was collected in ~1 hour total using the Rapidata Python API, acc → Rapidata Video Generation Alibaba Wan2.1 Human Preference If you get value from this dataset and would like to see more in the future, please consider liking it. This dataset was collected in ~1 hour total using the Rapidata Python API, acc

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