Add paper link, code link, and task category

README.md

@@ -1,11 +1,30 @@
 ---
 license: apache-2.0
+task_categories:
+- image-text-to-text
 ---
 
-Our dataset is built upon the Uground, Jedi, and additional public paper-style academic document screenshots.
+# GUI-Drag Dataset
+
+[**Project Page**](https://osu-nlp-group.github.io/GUI-Drag) | [**Paper**](https://huggingface.co/papers/2601.06031) | [**GitHub**](https://github.com/OSU-NLP-Group/GUI-Drag)
 
-Project webpage: https://osu-nlp-group.github.io/GUI-Drag
+GUI-Drag is a diverse dataset of 161K text dragging examples synthesized through a scalable pipeline. It is designed to advance Graphical User Interface (GUI) grounding beyond simple clicking, focusing on the essential interaction of dragging the mouse to select and manipulate textual content.
+
+Our dataset is built upon the Uground, Jedi, and additional public paper-style academic document screenshots.
 
 **NOTE**: Before you use this dataset, make sure you understand the logic of absolute coordinates and [image processor](https://github.com/QwenLM/Qwen2.5-VL/blob/d2240f11656bfe404b9ba56db4e51cd09f522ff1/qwen-vl-utils/src/qwen_vl_utils/vision_process.py#L60) for [Qwen2.5-VL](https://arxiv.org/abs/2502.13923). 
 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.
+
+## Citation
+
+If you find our data, model, benchmark or the general resources useful, please consider citing:
+
+```bibtex
+@article{wu2025beyond,
+  title={Beyond Clicking: A Step Towards Generalist GUI Grounding via Text Dragging},
+  author={Wu, et al.},
+  journal={arXiv preprint arXiv:2601.06031},
+  year={2025}
+}
+```