Dataset · Hugging Face

VidaForge/VidaForge-3M

Name: VidaForge-3M
Creator: VidaForge
License: apache-2.0
Keywords: task_categories:text-to-video, task_categories:video-text-to-text, task_categories:video-classification, annotations_creators:machine-generated, language_creators:machine-generated, multilinguality:monolingual, source_datasets:extended, language:en, license:apache-2.0, size_categories:n<1K, format:parquet, modality:tabular, modality:text, modality:video, library:datasets

3.14 million scene-level video clips with multi-level captions, camera labels, semantic tags, quality signals, and duplicate groups. Paper · VidaForge Code · Project Blog · Source Dataset Overview VidaForge-3M is a large-scale video pretraining dataset produced with VidaForge, an open data pipeline for building and studying video foundation model pretraining data. The pipeline and dataset are described in the paper VidaForge: Open Research Infrastructure… See the full description on the dataset page: https://huggingface.co/datasets/VidaForge/VidaForge-3M.

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Author / organization	VidaForge
License (as declared)	apache-2.0
Downloads	4.3K (as reported by Hugging Face)
Likes	13
Created	20 July 2026
Last updated at source	13 September 2026

videovideo-pretrainingvideo-captioningvideo-generationself-supervised-learningparquetindexed-tarvidaforge

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