Improve dataset card and add metadata

README.md

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 ---
 license: cc-by-nc-4.0
+task_categories:
+- robotics
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+
+# WestWorld Pretraining Dataset
+
+This repository contains the pretraining dataset for **WestWorld**, a knowledge-encoded scalable trajectory world model for diverse robotic systems.
+
+[**Paper**](https://huggingface.co/papers/2603.14392) | [**Project Page**](https://westworldrobot.github.io/) | [**GitHub**](https://github.com/511205787/WestWorld)
+
+## Description
+
+WestWorld is designed to address the scalability challenges in trajectory world models for diverse robotic systems. The dataset includes trajectories from 89 complex environments spanning diverse morphologies across both simulation and real-world settings. 
+
+The associated model, WestWorld, utilizes a novel system-aware Mixture-of-Experts (Sys-MoE) and incorporates domain knowledge of robot physical structures via structural embeddings to achieve strong zero-shot and few-shot generalization in trajectory prediction and downstream model-based control.
+
+## Citation
+
+If you find this dataset useful, please cite the following paper:
+
+```bibtex
+@inproceedings{wang2026westworld,
+  title={WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems},
+  author={Wang, Yuchen and Kong, Jiangtao and Wei, Sizhe and Li, Xiaochang and Lin, Haohong and Zhao, Hongjue and Zhou, Tianyi and Gan, Lu and Shao, Huajie},
+  booktitle={Forty-third International Conference on Machine Learning},
+  year={2026},
+  url={https://openreview.net/forum?id=ncRRCG4BfP}
+}
+```