Update dataset card with paper link, project page, citation, library name and tags

README.md

@@ -4,6 +4,12 @@ task_categories:
 - robotics
 tags:
 - LeRobot
+- gaze
+- foveated-vision
+- imitation-learning
+- human-demonstrations
+- av-aloha
+library_name: lerobot
 configs:
 - config_name: default
   data_files: data/*/*.parquet
@@ -11,12 +17,13 @@ configs:
 
 This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
 
-## Dataset Description
-
+This dataset provides human eye-tracking data and robot demonstrations collected using the AV-ALOHA simulation platform, designed to train robot policies that incorporate human gaze. It is associated with the paper \"[Look, Focus, Act: Efficient and Robust Robot Learning via Human Gaze and Foveated Vision Transformers](https://huggingface.co/papers/2507.15833)\".
 
+## Dataset Description
 
-- **Homepage:** [More Information Needed]
-- **Paper:** [More Information Needed]
+- **Homepage:** https://ian-chuang.github.io/gaze-av-aloha/
+- **Paper:** https://huggingface.co/papers/2507.15833
+- **Code:** https://github.com/ian-chuang/gaze-av-aloha
 - **License:** apache-2.0
 
 ## Dataset Structure
@@ -258,11 +265,18 @@ This dataset was created using [LeRobot](https://github.com/huggingface/lerobot)
 }
 ```
 
-
 ## Citation
 
 **BibTeX:**
 
 ```bibtex
-[More Information Needed]
+@misc{chuang2025lookfocusactefficient,
+      title={Look, Focus, Act: Efficient and Robust Robot Learning via Human Gaze and Foveated Vision Transformers},
+      author={Ian Chuang and Andrew Lee and Dechen Gao and Jinyu Zou and Iman Soltani},
+      year={2025},
+      eprint={2507.15833},
+      archivePrefix={arXiv},
+      primaryClass={cs.RO},
+      url={https://arxiv.org/abs/2507.15833},
+}
 ```