| license: cc-by-nc-4.0 | |
| task_categories: | |
| - image-to-video | |
| # OpenVE-3M | |
| This repository contains the large-scale, high-quality dataset for instruction-guided video editing presented in the paper [OpenVE-3M: A Large-Scale High-Quality Dataset for Instruction-Guided Video Editing](https://huggingface.co/papers/2512.07826). | |
| **Project page:** [https://lewandofskee.github.io/projects/OpenVE](https://lewandofskee.github.io/projects/OpenVE) | |
| **Code:** [https://github.com/OpenVE-Team/OpenVE-3M](https://github.com/OpenVE-Team/OpenVE-3M) | |
| The dataset comprises two primary categories of edits: | |
| - **Spatially-aligned edits:** Global Style, Background Change, Local Change, Local Remove, Local Add, and Subtitles Edit | |
| - **Non-spatially-aligned edits:** Camera Multi-Shot Edit and Creative Edit | |
| All edit types are generated via a meticulously designed data pipeline with rigorous quality filtering. The dataset is intended for training and evaluating instruction-based video editing models. |