Add paper, project page, and GitHub links to dataset card

README.md

@@ -1,19 +1,23 @@
 ---
 license: mit
 task_categories:
-  - robotics
-tags:
-  - robotwin
-  - lerobot
-  - manipulation
-  - bimanual
+- robotics
 pretty_name: RoboTwin 2.0 demonstrations (LeRobot v2.1)
+tags:
+- robotwin
+- lerobot
+- manipulation
+- bimanual
 ---
 
 # RoboTwin 2.0 Demonstrations (LeRobot v2.1)
 
 Expert demonstrations for the 50 [RoboTwin 2.0](https://github.com/RoboTwin-Platform/RoboTwin) benchmark tasks, generated with the RoboTwin simulator (MIT license) and packaged in LeRobot **v2.1** format. Used to train [FACT](https://huggingface.co/Bariona/fact-wam).
 
+Paper: [FACT: Failure-Aware Causal Training for World-Action Models](https://huggingface.co/papers/2608.10232)  
+Project page: [https://fact-wam.github.io](https://fact-wam.github.io)  
+Code: [https://github.com/Bariona/FACT](https://github.com/Bariona/FACT)
+
 ## Contents
 
 Single archive `robotwin-v2.tar` (84.5 GB, ~169 GB extracted).
@@ -45,4 +49,4 @@ tar -xf ./datasets/robotwin-v2.tar -C ./datasets
 ## Provenance & license
 
 Trajectories were collected with the RoboTwin 2.0 expert data pipeline
-([RoboTwin-Platform/RoboTwin](https://github.com/RoboTwin-Platform/RoboTwin), MIT License, © 2025 Tianxing Chen) and converted to LeRobot v2.1. Redistributed under MIT in accordance with the upstream license. If you use this data, please cite RoboTwin.
+([RoboTwin-Platform/RoboTwin](https://github.com/RoboTwin-Platform/RoboTwin), MIT License, © 2025 Tianxing Chen) and converted to LeRobot v2.1. Redistributed under MIT in accordance with the upstream license. If you use this data, please cite RoboTwin.