JEDI

NOTE: Before you use this dataset, make sure you understand the logic of absolute coordinates and image processor for Qwen2.5-VL. This dataset is set with the image processor max tokens to be 2700, a.k.a max_pixels=2700x14x14x2x2 , the coordinates were resized to be smaller and you have to resize the image as well within max_pixels=2700x14x14x2x2 via image processor to make them align. Make sure you also follow it in your training procedure, otherwise the performance will not be as expected.

The JEDI Dataset consists of four carefully designed categories:

• Icon
• Component
• Layout
• Refusal

This repository includes all the textures and images for these components.

Additionally, JEDI processes and improves the data from AGUVIS and Desktop domain from OS-ATLAS, calling it AGUVIS++. This repository contains the texture portion of AGUVIS++. For images, please refer to the aguvis original repository and os-atlas original repository, please download them and align with the image path for usage.

Project Page: https://osworld-grounding.github.io GitHub Repository: https://github.com/xlang-ai/OSWorld-G

Fun Fact: JEDI has no meaning in the name itself. Just because it is pronounced very close to Chinese '接地', which is the translation of English 'Grounding'.

📄 Citation

If you find this work useful, please consider citing our paper:

@misc{xie2025scalingcomputerusegroundinguser,
      title={Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis}, 
      author={Tianbao Xie and Jiaqi Deng and Xiaochuan Li and Junlin Yang and Haoyuan Wu and Jixuan Chen and Wenjing Hu and Xinyuan Wang and Yuhui Xu and Zekun Wang and Yiheng Xu and Junli Wang and Doyen Sahoo and Tao Yu and Caiming Xiong},
      year={2025},
      eprint={2505.13227},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2505.13227}, 
}