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

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This PR adds the paper link (via Hugging Face papers page), the project page, and the GitHub repository to the dataset card, making it easier for users to find the relevant resources.

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  1. README.md +11 -7
README.md CHANGED
@@ -1,19 +1,23 @@
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  ---
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  license: mit
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  task_categories:
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- - robotics
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- tags:
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- - robotwin
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- - lerobot
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- - manipulation
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- - bimanual
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  pretty_name: RoboTwin 2.0 demonstrations (LeRobot v2.1)
 
 
 
 
 
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  ---
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  # RoboTwin 2.0 Demonstrations (LeRobot v2.1)
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  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).
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  ## Contents
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  Single archive `robotwin-v2.tar` (84.5 GB, ~169 GB extracted).
@@ -45,4 +49,4 @@ tar -xf ./datasets/robotwin-v2.tar -C ./datasets
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  ## Provenance & license
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  Trajectories were collected with the RoboTwin 2.0 expert data pipeline
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- ([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.
 
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  ---
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  license: mit
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  task_categories:
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+ - robotics
 
 
 
 
 
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  pretty_name: RoboTwin 2.0 demonstrations (LeRobot v2.1)
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+ tags:
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+ - robotwin
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+ - lerobot
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+ - manipulation
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+ - bimanual
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  ---
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  # RoboTwin 2.0 Demonstrations (LeRobot v2.1)
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  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).
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+ Paper: [FACT: Failure-Aware Causal Training for World-Action Models](https://huggingface.co/papers/2608.10232)
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+ Project page: [https://fact-wam.github.io](https://fact-wam.github.io)
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+ Code: [https://github.com/Bariona/FACT](https://github.com/Bariona/FACT)
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+
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  ## Contents
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  Single archive `robotwin-v2.tar` (84.5 GB, ~169 GB extracted).
 
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  ## Provenance & license
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  Trajectories were collected with the RoboTwin 2.0 expert data pipeline
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+ ([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.