likaixin/GroundCUA-train

GroundCUA: Grounding Computer Use Agents on Human Demonstrations

🌐 Website | 📑 Paper | 🤗 Raw Dataset | 🤖 Models

GroundCUA Dataset

GroundCUA is a large and diverse dataset of real UI screenshots paired with structured annotations for building multimodal computer use agents. It covers 87 software platforms across productivity tools, browsers, creative tools, communication apps, development environments, and system utilities. GroundCUA is designed for research on GUI grounding, UI perception, and vision-language-action models that interact with computers.

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Content

This dataset embeds instructions and images.

Category	Instruction Count
remain_simple	445,078
remain_desc	420,476
remain_general	309,813
functional	164,702
direct_general_templates	98,924
direct_description	98,904
spatial	97,246
direct_text	80,532
direct_miscellaneous	79,223
functional_extra	62,405
direct_icon	8,514

Reference

@misc{feizi2025groundingcomputeruseagents,
      title={Grounding Computer Use Agents on Human Demonstrations}, 
      author={Aarash Feizi and Shravan Nayak and Xiangru Jian and Kevin Qinghong Lin and Kaixin Li and Rabiul Awal and Xing Han Lù and Johan Obando-Ceron and Juan A. Rodriguez and Nicolas Chapados and David Vazquez and Adriana Romero-Soriano and Reihaneh Rabbany and Perouz Taslakian and Christopher Pal and Spandana Gella and Sai Rajeswar},
      year={2025},
      eprint={2511.07332},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2511.07332}, 
}