---
title: HQ-Edit
canonical_url: "https://www.modelscope.cn/datasets/AI-ModelScope/HQ-Edit"
md_url: "https://www.modelscope.cn/datasets/AI-ModelScope/HQ-Edit.md"
repository: AI-ModelScope/HQ-Edit
chinese_name: HQ-Edit
last_updated: 2025-03-28
license: "Apache License 2.0"
storage_size: "297 GB"
downloads: 9985
stars: 1
---

# HQ-Edit

> HQ-Edit - AI-ModelScope 在 ModelScope 开源的数据集。Dataset Card for HQ-EDIT

AI-ModelScope/HQ-Edit 是 ModelScope 魔搭社区上的数据集，存储大小 297 GB，采用 Apache License 2.0 许可。

- **Repository**: AI-ModelScope/HQ-Edit
- **License**: Apache License 2.0
- **Storage size**: 297 GB
- **Downloads**: 9985
- **Stars**: 1
- **Last updated**: 2025-03-28

Source: https://www.modelscope.cn/datasets/AI-ModelScope/HQ-Edit

---

# Dataset Card for HQ-EDIT

<!-- Provide a quick summary of the dataset. -->

HQ-Edit, a high-quality instruction-based image editing dataset with total 197,350 edits. Unlike prior approaches relying on attribute guidance or human feedback on building datasets, we devise a scalable data collection pipeline leveraging advanced foundation models, namely GPT-4V and DALL-E 3.
HQ-Edit’s high-resolution images, rich in detail and accompanied by comprehensive editing prompts, substantially enhance the capabilities of existing image editing models. 

- **Homepage:** https://thefllood.github.io/HQEdit_web/
- **Repository:** https://github.com/UCSC-VLAA/HQ-Edit

If you would like to preview the data online using Dataset Viewer, please visit:
- **Dataset Demo:** https://huggingface.co/datasets/UCSC-VLAA/HQ-Edit-data-demo

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

"input" (str): description of input image.

"input_image" (image): the input image.

"edit" (str): edit instruction for transforming input images to output images.

"inverse_edit" (str): inverse-edit instructions for transforming output images back to input images.

"output" (str): description of output image.

"output_image" (image): the output image.



## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
If you find this dataset useful, please consider citing our paper:
```
@article{hui2024hq,
  title   = {HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing},
  author  = {Hui, Mude and Yang, Siwei and Zhao, Bingchen and Shi, Yichun and Wang, Heng and Wang, Peng and Zhou, Yuyin and Xie, Cihang},
  journal = {arXiv preprint arXiv:2404.09990},
  year    = {2024}
}
```