---
title: FramePack-U
canonical_url: "https://www.modelscope.cn/datasets/ZelD0n/FramePack-U"
md_url: "https://www.modelscope.cn/datasets/ZelD0n/FramePack-U.md"
repository: ZelD0n/FramePack-U
last_updated: 2026-10-12
license: "Apache License 2.0"
storage_size: "53 GB"
downloads: 38
stars: 0
---

# FramePack-U

> FramePack-U - ZelD0n 在 ModelScope 开源的数据集。This is the official repo for paper Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding.

ZelD0n/FramePack-U 是 ModelScope 魔搭社区上的数据集，存储大小 53 GB，采用 Apache License 2.0 许可。

- **Repository**: ZelD0n/FramePack-U
- **License**: Apache License 2.0
- **Storage size**: 53 GB
- **Downloads**: 38
- **Stars**: 0
- **Last updated**: 2026-10-12

Source: https://www.modelscope.cn/datasets/ZelD0n/FramePack-U

---

<p align="center">
  <img src="assets/logo2.png" alt="FramePack-U logo" style="width: 65%;" />
</p>

<h1 align="center">
  Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding
</h1>

<p align="center">
  <a href="https://zeld0n.github.io/shuo_homepage/">Shuo Gao</a>, <a href="https://hellomuffin.github.io/">Chenhao Zheng</a>, <a href="https://jason718.github.io/">Zhongzheng Ren</a>.
</p>
<p align="center">
<a href="https://zeld0n.github.io/framepack-U/"><img src="https://img.shields.io/badge/Homepage-FramePackU-green" alt="Homepage"></a>
<a href="https://github.com/ZelD0n/framepack-U"><img src="https://img.shields.io/badge/arXiv-FramePackU-red?logo=arxiv" alt="GitHub"></a>
<a href="https://github.com/ZelD0n/framepack-U"><img src="https://img.shields.io/badge/GitHub-FramePackU-blue?logo=github" alt="GitHub"></a>
<a href="https://huggingface.co/datasets/ZelD0n/FramePack-U"><img src="https://img.shields.io/badge/HuggingFace-FramePackU-yellow?logo=huggingface" alt="Hugging Face"></a>
<a href="https://www.modelscope.cn/datasets/ZelD0n/FramePack-U"><img src="https://img.shields.io/badge/ModelScope-FramePackU-purple?logo=modelscope" alt="ModelScope"></a>
</p>

<p align="center">
  <img src="assets/framepack_framework.png" alt="FramePack-U framework" style="width: 65%;"/>
</p>

## What does this repo contain?
This repo contains:
- **Offline CLIP scores**: Relevance between each frame and text query, calculated by CLIP-ViT-B/32.
- **Offline frame feature**: Visual feature extracted by CLIP-ViT.

## How to use it?
To avoid massive online calculating, you can download these data and put these offline scores and feature in the `local/` directory of the repo, or download wherever you want and link them to this directory. 

Unzip the `clip_scores.zip` and `frame_feature.zip` file by this script:
```
unzip /path/to/clip_scores.zip
unzip /path/to/frame_feature.zip
```

Now you can run the evaluation on LongVideoBench, MLVU and VideoMME with their pre-calculated frame feature.

## Citation
If you find this work helpful, please consider citing our paper:
```bibtex
@inproceedings{gao2026elephant,
  title = {Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding},
  author = {Gao, Shuo and Zheng, Chenhao and Ren, Zhongzheng},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}
```