Add robotics task category and paper link (#3)

- Add robotics task category and paper link (d2ee2949b187279b4ace3bcaf575fb67feb36937)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,4 +1,12 @@
 ---
+language:
+- en
+license: mit
+size_categories:
+- 200K<n<300K
+task_categories:
+- robotics
+pretty_name: "EgoHaFL: Egocentric 3D Hand Forecasting Dataset with Language Instruction"
 dataset_info:
   features:
   - name: uid
@@ -61,12 +69,6 @@ configs:
     path: EgoHaFL_train.csv
   - split: test
     path: EgoHaFL_test.csv
-license: mit
-language:
-- en
-pretty_name: EgoHaFL:Egocentric 3D Hand Forecasting Dataset with Language Instruction
-size_categories:
-- 200K<n<300K
 tags:
 - embodied-ai
 - robotic
@@ -79,12 +81,14 @@ tags:
 # **EgoHaFL: Egocentric 3D Hand Forecasting Dataset with Language Instruction**
 
 **EgoHaFL** is a dataset designed for **egocentric (first-person) 3D hand forecasting** with accompanying **natural language instructions**.
-It contains short video clips, text descriptions, camera intrinsics, and detailed MANO-based 3D hand annotations.
+It was introduced in the paper [SFHand: Learning Embodied Manipulation by Streaming Egocentric 3D Hand Forecasting](https://huggingface.co/papers/2511.18127).
+
+The dataset contains short video clips, text descriptions, camera intrinsics, and detailed MANO-based 3D hand annotations.
 The dataset supports research in **3D hand forecasting**, **hand pose estimation**, **hand–object interaction understanding**, and **video–language modeling**.
 
 ![Demo GIF](EgoHaFL.gif)
 
-[![Paper](https://img.shields.io/badge/Paper-B31B1B?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org/pdf/2511.18127)
+[![Paper](https://img.shields.io/badge/Paper-B31B1B?style=for-the-badge&logo=arxiv&logoColor=white)](https://huggingface.co/papers/2511.18127)
 [![Model](https://img.shields.io/badge/Model-FF6D00?style=for-the-badge\&logo=huggingface\&logoColor=ffffff)](https://huggingface.co/ut-vision/SFHand)
 [![GitHub](https://img.shields.io/badge/GitHub-000000?style=for-the-badge&logo=github&logoColor=white)](https://github.com/ut-vision/SFHand)
 
@@ -205,9 +209,8 @@ If you use this dataset or find it helpful in your research, please cite:
 ```latex
 @article{liu2025sfhand,
   title={SFHand: A Streaming Framework for Language-guided 3D Hand Forecasting and Embodied Manipulation},
-  author={Liu, Ruicong and Huang, Yifei and Ouyang, Liangyang and Kang, Caixin and and Sato, Yoichi},
+  author={Liu, Ruicong and Huang, Yifei and Ouyang, Liangyang and Kang, Caixin and Sato, Yoichi},
   journal={arXiv preprint arXiv:2511.18127},
   year={2025}
 }
-```
-
+```