JianhuiWei/UniVBenchUniVBench UniVBench is a unified benchmark for video generation and video editing tasks, covering text guided video editing, reference guided video generation, captioning, and multimodal evaluation scenarios. Dataset Download To download the whole UniVBench dataset, run the following command in your terminal: from the code here: https://github.com/JianhuiWei7/UniVBench/blob/main/download.py python ./download.py UniVBench Benchmark Directory Structure… See the full description on the dataset page: https://huggingface.co/datasets/JianhuiWei/UniVBench.

UniVBench

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UniVBench UniVBench is a unified benchmark for video generation and video editing tasks, covering text-guided video editing, reference-guided video generation, captioning, and multimodal evaluation scenarios. Dataset Download To download the whole UniVBench dataset, run the following command in your terminal: from the code here: https://github.com/JianhuiWei7/UniVBench/blob/main/download.py python ./download.py UniVBench Benchmark Directory Structure… See the full description on the dataset page: https://huggingface.co/datasets/JianhuiWei/UniVBench.

Formats:jsonLibraries:Datasets, Dask, Polars, CroissantLicense:other

ArXiv:2602.21835

imported

huggingface

minio

task_categories:text-to-video

task_categories:image-to-video

task_categories:image-text-to-video

task_categories:video-to-video

task_categories:video-text-to-text

task_categories:any-to-any

task_categories:other

language:en

language:zh

license:other

size_categories:1K<n<10K

modality:image

modality:text

library:datasets

library:mlcroissant

region:us

video-editing

0downloads0likes78.9 KBLicense:other

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json

License

other

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Last synced 6/13/2026

Paper for this model

arXiv:2602.21835

Paper2602.21835 0

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