Update dataset card with task categories, paper link and sample usage

README.md

@@ -2,6 +2,11 @@
 license: apache-2.0
 size_categories:
 - 100K<n<1M
+task_categories:
+- image-to-video
+tags:
+- robotics
+- world-models
 ---
 
 # MultiWorld Dataset
@@ -13,11 +18,31 @@ size_categories:
 1. **It Takes Two Gameplay Dataset**: 100+ hours of real human gameplay from the cooperative action-adventure game *It Takes Two*, featuring dual-agent synchronized actions with distinct first-person viewpoints.
 2. **RoboFactory Manipulation Dataset**: Multi-robot manipulation trajectories spanning 4 tasks with 2-4 agents and variable camera viewpoints, including both success and failure episodes.
 
-This dataset is the official release accompanying the paper *"MultiWorld: Scalable Multi-Agent Multi-View Video World Models"*.
+This dataset is the official release accompanying the paper [MultiWorld: Scalable Multi-Agent Multi-View Video World Models](https://huggingface.co/papers/2604.18564).
 
 - **Homepage:** https://multi-world.github.io
 - **Repository:** https://github.com/CIntellifusion/MultiWorld
-- **Paper:** [arXiv:XXXX.XXXXX](https://arxiv.org/abs/XXXX.XXXXX)
+- **Paper:** [arXiv:2604.18564](https://huggingface.co/papers/2604.18564)
+
+---
+
+## Sample Usage
+
+### Dataset Download
+
+You can download the dataset using the Hugging Face CLI:
+
+```bash
+hf auth login
+hf download Haoyuwu/MultiWorldData --repo-type dataset \
+    --local-dir ./data
+bash preprocess/untar_chunks.sh
+```
+
+After running `preprocess/untar_chunks.sh`, the archives are extracted to:
+- `data/ittakestwo_release/` — It Takes Two dataset
+- `data/robots_release/` — Robotics dataset
+
 ---
 
 ## Dataset Details
@@ -64,4 +89,15 @@ The dataset is intended for research in:
 
 ### Contact
 
-For questions about the dataset, please open an issue on the [GitHub repository](https://github.com/CIntellifusion/MultiWorld) or contact the authors.
+For questions about the dataset, please open an issue on the [GitHub repository](https://github.com/CIntellifusion/MultiWorld) or contact the authors.
+
+## Citation
+
+```bibtex
+@article{wu2025multiworld,
+  title={MultiWorld: Scalable Multi-Agent Multi-View Video World Models},
+  author={Wu, Haoyu and Yu, Jiwen and Zou, Yingtian and Liu, Xihui},
+  journal={arXiv preprint arXiv:2604.18564},
+  year={2026}
+}
+```