Update dataset card with task categories and project links

README.md

@@ -1,14 +1,32 @@
 ---
 license: bsd-2-clause
+task_categories:
+- robotics
 ---
+
+# RoboManipBaselines
+
+[**Project Page**](https://isri-aist.github.io/RoboManipBaselines-ProjectPage/) | [**Paper**](https://huggingface.co/papers/2509.17057) | [**GitHub**](https://github.com/isri-aist/RoboManipBaselines)
+
+RoboManipBaselines is a unified framework for imitation learning in robotic manipulation across real and simulation environments. This repository contains expert demonstration datasets used for training and evaluating various imitation learning policies.
+
 ## MuJoCo environments
 ### UR5e
 #### MujocoUR5eParticleEnv
 Task to scoop up particles.
 <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/677b624be4cf361eed593b69/XaWZOCjhmX1nMs_guFb7K.mp4"></video>
 
-
 The same data can be downloaded [here](https://github.com/isri-aist/RoboManipBaselines/blob/master/doc/dataset_list.md).
 
-## RoboManipBaselines Paper
-https://huggingface.co/papers/2509.17057
+## Citation
+
+If you use RoboManipBaselines in your work, please cite the following paper:
+
+```bibtex
+@article{RoboManipBaselines_Murooka_2025,
+  title={RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulation Environments},
+  author={Murooka, Masaki and Motoda, Tomohiro and Nakajo, Ryoichi and Oh, Hanbit and Makihara, Koshi and Shirai, Keisuke and Ogata, Tetsuya and Domae, Yukiyasu},
+  journal={arXiv preprint arXiv:2509.17057},
+  year={2025}
+}
+```