GUIOdyssey
January 3, 2026 · View on GitHub
This repository is the official implementation of GUIOdyssey.
GUIOdyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices
Quanfeng Lu, Wenqi Shao✉️, Zitao Liu, Lingxiao Du, Fanqing Meng, Boxuan Li, Botong Chen, Siyuan Huang, Kaipeng Zhang, Ping Luo✉️
💡 News
2025/07/31: 🔥🔥🔥 Latest version of GUIOdyssey dataset released! Please check out hflqf88888/GUIOdyssey. We recommend using this new version of the dataset for training and evaluation!2025/06/26: 🎉🎉🎉 GUIOdyssey paper is accepted to ICCV 2025!2024/06/24: The first version of GUIOdyssey dataset is released.2024/06/13: The GUIOdyssey arXiv preprint (v1) has been released.
🔆 Introduction
GUIOdyssey is a comprehensive dataset for training and evaluating cross-app navigation agents. GUIOdyssey consists of 8,334 episodes from 6 mobile devices, spanning 6 types of cross-app tasks, 212 apps, and 1.4K app combos.
For more details, please refer to our latest paper.

🛠️ Data collection pipeline
GUIOdyssey comprises six categories of navigation tasks. For each category, we construct instruction templates with items and apps selected from a predefined pool, resulting in a vast array of unique instructions for annotating GUI episodes. Human demonstrations on an Android emulator capture the metadata of each episode in a comprehensive format. After rigorous quality checks, GUIOdyssey includes 8,834 validated cross-app GUI navigation episodes.

💫 Dataset Access
The latest version of GUIOdyssey is hosted on Huggingface.
Clone the entire dataset from Huggingface:
git clone https://huggingface.co/datasets/hflqf88888/GUIOdyssey
Make sure your screenshots are organized in the following structure:
GUI-Odyssey
├── data
│ ├── annotations
│ │ └── *.json
│ ├── screenshots
│ │ └── *.png
│ ├── splits
│ │ ├── app_split.json
│ │ ├── device_split.json
│ │ ├── random_split.json
│ │ └── task_split.json
│ └── format_converter.py
└── ...
⚙️ Detailed Data Information
Please refer to this.
🚀 Quick Start
Please refer to this to quick start.
🖊️ Citation
If you feel GUIOdyssey useful in your project or research, please kindly use the following BibTeX entry to cite our paper. Thanks!
@inproceedings{lu2025guiodyssey,
title={GUIOdyssey: A comprehensive dataset for cross-app GUI navigation on mobile devices},
author={Lu, Quanfeng and Shao, Wenqi and Liu, Zitao and Du, Lingxiao and Meng, Fanqing and Li, Boxuan and Chen, Botong and Huang, Siyuan and Zhang, Kaipeng and Luo, Ping},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={22404--22414},
year={2025}
}