Add link to paper and code repository (#1)

- Add link to paper and code repository (af9ba63d130c7608cd459083966115c7b86c6352)


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

README.md

@@ -2,13 +2,14 @@
 license: apache-2.0
 task_categories:
 - robotics
+library_name: robotics
 ---
 
 # MemoryBench Dataset
 
-MemoryBench is a benchmark dataset designed to evaluate spatial memory and action recall in robotic manipulation. This dataset accompanies the **SAM2Act+** framework, introduced in the paper *SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation*. For detailed task descriptions and more information about this paper, please visit SAM2Act's [website](https://sam2act.github.io).
+MemoryBench is a benchmark dataset designed to evaluate spatial memory and action recall in robotic manipulation. This dataset accompanies the **SAM2Act+** framework, introduced in the paper *[SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation](https://huggingface.co/papers/2501.18564)*. For detailed task descriptions and more information about this paper, please visit SAM2Act's [website](https://sam2act.github.io). Code can be found at [https://github.com/sam2act/sam2act](https://github.com/sam2act/sam2act).
 
-The dataset contains scripted demonstrations for three memory-dependent tasks designed in RLBench (same version as the one used in [PerAct](https://peract.github.io/)): 
+The dataset contains scripted demonstrations for three memory-dependent tasks designed in RLBench (same version as the one used in [PerAct](https://peract.github.io/)):
 
 - **Reopen Drawer**: Tests 3D spatial memory along the z-axis.
 - **Put Block Back**: Evaluates 2D spatial memory along the x-y plane.
@@ -42,12 +43,12 @@ If you use this dataset, please cite the SAM2Act paper:
 
 ```bibtex
 @misc{fang2025sam2act,
-      title={SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation}, 
+      title={SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation},
       author={Haoquan Fang and Markus Grotz and Wilbert Pumacay and Yi Ru Wang and Dieter Fox and Ranjay Krishna and Jiafei Duan},
       year={2025},
       eprint={2501.18564},
       archivePrefix={arXiv},
       primaryClass={cs.RO},
-      url={https://arxiv.org/abs/2501.18564}, 
+      url={https://arxiv.org/abs/2501.18564},
 }
 ```