---
license: cc-by-nc-4.0
task_categories:
- video-to-video
---

# LongV-EVAL: A Benchmark for Long Video Editing Evaluation

[Paper](https://huggingface.co/papers/2502.05433)

LongV-EVAL is a benchmark dataset designed for evaluating text-driven long video editing methods. It consists of 75 high-quality videos, each approximately one minute long, covering diverse domains such as landscapes, people, and animals. The dataset provides meticulously annotated editing prompts for three aspects: foreground, background, and style, enabling comprehensive evaluation of editing quality, temporal consistency, and semantic alignment.

## Dataset Structure
The dataset is organized into four folders:
- `videos/`: Contains 75 MP4 files of source videos (original unedited videos).
- `foreground/`: Includes 75 text files with prompts focusing on **foreground object editing** (e.g., changing object attributes or replacing objects).
- `background/`: Includes 75 text files with prompts for **background modification** (e.g., altering scene context or tone).
- `style/`: Includes 75 text files with prompts for **artistic style transfer** (e.g., applying styles like Van Gogh, watercolor, or Picasso).