Add robotics task category and paper metadata

Hi! I'm Niels from the community science team at Hugging Face.

This pull request improves the dataset card by:
- Adding the `robotics` task category to the metadata for better discoverability.
- Adding the `arxiv` ID to link the dataset to its research paper.
- Adding links to the official project page, paper, and code repository in the header.
- Formatting the citation as a BibTeX block.

README.md

@@ -1,17 +1,21 @@
 ---
 license: cdla-permissive-2.0
+pretty_name: MOSAIC Dataset
+task_categories:
+- robotics
 tags:
 - humanoid
-- robotics
 - motion-tracking
 - teleoperation
 - reinforcement-learning
 - motion-retargeting
-pretty_name: MOSAIC Dataset
+arxiv: 2602.08594
 ---
 
 # MOSAIC Dataset
 
+[**Project Page**](https://baai-humanoid.github.io/MOSAIC/) | [**Paper**](https://arxiv.org/abs/2602.08594) | [**Code**](https://github.com/BAAI-Humanoid/MOSAIC)
+
 This repository releases the built-in **MOSAIC** multi-source motion dataset in the following paper:
 
 **[MOSAIC: Bridging the Sim-to-Real Gap in Generalist Humanoid Motion Tracking and Teleoperation with Rapid Residual Adaptation](https://arxiv.org/abs/2602.08594)**  
@@ -105,7 +109,7 @@ MOSAIC_Dataset/
 ## How to Download
 
 ### Option A: Download the whole dataset (recommended)
-  ```
+  ```python
     from huggingface_hub import snapshot_download
 
     local_dir = snapshot_download(
@@ -117,7 +121,7 @@ MOSAIC_Dataset/
 
 ### Option B: Download a subset (recommended for large datasets)
 Example: only download prompts and one subset folder.
-  ```
+  ```python
     from huggingface_hub import snapshot_download
 
     local_dir = snapshot_download(
@@ -134,11 +138,10 @@ Example: only download prompts and one subset folder.
     print("Downloaded to:", local_dir)
   ```
 ### Option C: CLI download
-  ```
+  ```bash
     huggingface-cli download BAAI-Humanoid/MOSAIC_Dataset \
     --repo-type dataset \
     --local-dir MOSAIC_Dataset
-
   ```
 
 ---
@@ -156,14 +159,13 @@ Tip: If you only want to inspect a few sequences quickly, download a small subse
 
 ## Citation
 If you use this dataset, please cite our paper:
-```
-  @article{sun2026mosaic,
+```bibtex
+@article{sun2026mosaic,
   title   = {MOSAIC: Bridging the Sim-to-Real Gap in Generalist Humanoid Motion Tracking and Teleoperation with Rapid Residual Adaptation},
   author  = {Zhenguo Sun and Bo-Sheng Huang and Yibo Peng and Xukun Li and Jingyu Ma and Yu Sun and Zhe Li and Haojun Jiang and Biao Gao and Zhenshan Bing and Xinlong Wang and Alois Knoll},
   journal = {arXiv preprint arXiv:2602.08594},
   year    = {2026}
 }
-
 ```
 
 ---
@@ -177,17 +179,12 @@ This dataset is released under CDLA-Permissive-2.0.
 
 ## Acknowledgements / References
 - [AMASS](https://amass.is.tue.mpg.de/)
-
 - [GMR retargeting](https://github.com/YanjieZe/GMR)
-
 - [BeyondMimic](https://github.com/HybridRobotics/whole_body_tracking)
-
 - [GENMO](https://github.com/NVlabs/GENMO)
-
 - [IO-AI mocap tools](https://github.com/ioai-tech/io_dev_tools_ros2/tree/master/io_mocap)
 
-
 ---
 
 ## Contact / Issues
-Please open an issue in the relevant code repository or reach out via your project contact channels if you find problems with the dataset structure, conversion scripts, or visualization.
+Please open an issue in the relevant code repository or reach out via your project contact channels if you find problems with the dataset structure, conversion scripts, or visualization.