Dataset · Hugging Face

Vicky0720/VidScribe

Name: VidScribe
Creator: Vicky0720
License: other
Keywords: task_categories:text-to-video, task_categories:image-to-video, task_categories:video-to-video, language:en, language:zh, license:other, size_categories:1K<n<10K, format:parquet, modality:image, modality:tabular, modality:text, modality:video, library:datasets, library:pandas, library:polars

VidScribe VidScribe is a diagnostic benchmark for visual text in video generation. It has four tasks: T2V (render text from a prompt), R2V (transfer text identity from a reference image), I2V (keep text intact under motion from a first frame), and V2V (edit localized text in an existing video). Every sample is labeled on 12 factor axes (F1–F12). Release status. This repository hosts the public half of the benchmark: 403 of 803 human-verified samples. The remaining samples will… See the full description on the dataset page: https://huggingface.co/datasets/Vicky0720/VidScribe.

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Author / organization	Vicky0720
License (as declared)	other
Downloads	2.8K (as reported by Hugging Face)
Likes	1
Created	28 September 2026
Last updated at source	28 September 2026

video-generationtext-renderingvideo-editingocrbenchmarkai-generated

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