Update README.md

README.md

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-license: mit
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+---
+license: mit
+---
+
+This dataset is a filtered version of the **[omniact](https://huggingface.co/datasets/Writer/omniact)** dataset, containing only grounding tasks. It is intended as an example dataset for the training of our InfiGUI-G1 model. For more details on our work, please see our GitHub repository: **[https://github.com/InfiXAI/InfiGUI-G1](https://github.com/InfiXAI/InfiGUI-G1)**.
+
+## Dataset Details
+
+The `omniact_grounding_filtered` dataset is derived from the original `omniact` dataset, with the following modifications:
+
+-   **Grounding Tasks Only**: We have selected only the grounding task samples.
+-   **Hard Samples Only**: We filtered out overly simple samples. Specifically, any sample that was solved correctly in all 8 attempts (i.e., had a 100% success rate) was removed from the dataset.
+
+## Citation Information
+
+If you find this dataset or our work useful in your research, we would be grateful if you consider citing our work.
+
+```bibtex
+@article{liu2025infiguig1,
+  title={InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization},
+  author={Liu, Yuhang and Liu, Zeyu and Zhu, Shuanghe and Li, Pengxiang and Xie, Congkai and Wang, Jiasheng and Hu, Xueyu and Han, Xiaotian and Yuan, Jianbo and Wang, Xinyao and others},
+  journal={arXiv preprint arXiv:2508.05731},
+  year={2025}
+}
+```
+
+We also strongly recommend citing the original data source, as their work was foundational to ours:
+
+```bibtex
+@misc{kapoor2024omniact,
+      title={OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web}, 
+      author={Raghav Kapoor and Yash Parag Butala and Melisa Russak and Jing Yu Koh and Kiran Kamble and Waseem Alshikh and Ruslan Salakhutdinov},
+      year={2024},
+      eprint={2402.17553},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI}
+}
+```
+
+## Acknowledgements
+
+We extend our sincere gratitude to the authors and contributors of the original **omniact** dataset for their significant work and for making their valuable data publicly available. Their efforts have been foundational for research in this area.