Add paper, project, and code links to dataset card

README.md

@@ -1,10 +1,31 @@
----
-license: mit
----
-
-## RLBench Dataset
-
-RLBench 18 tasks following the PerAct protocol, with image resolution 128×128.
-
-- 100 demonstrations per task for training.
-- 25 demonstrations per task for testing.
+---
+license: mit
+task_categories:
+- robotics
+---
+
+# SpatialActor: RLBench Dataset
+
+[**Project Page**](https://shihao1895.github.io/SpatialActor) | [**Paper**](https://huggingface.co/papers/2511.09555) | [**Code**](https://github.com/shihao1895/SpatialActor)
+
+SpatialActor is a disentangled framework for robust robotic manipulation. This repository contains the RLBench dataset used in the paper, featuring 18 tasks following the PerAct protocol with an image resolution of 128×128.
+
+## Dataset Details
+
+- **Tasks**: 18 RLBench tasks (following the PerAct protocol).
+- **Resolution**: 128×128.
+- **Training Set**: 100 demonstrations per task.
+- **Test Set**: 25 demonstrations per task.
+
+## Citation
+
+If you find this dataset or the SpatialActor framework helpful in your research, please consider citing the paper:
+
+```bibtex
+@article{shi2025spatialactor,
+  title={SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation},
+  author={Shi, Hao and Xie, Bin and Liu, Yingfei and Yue, Yang and Wang, Tiancai and Fan, Haoqiang and Zhang, Xiangyu and Huang, Gao},
+  journal={arXiv preprint arXiv:2511.09555},
+  year={2025}
+}
+```