Add AdaptiGraph simulation data (rope, granular, cloth)

README.md

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+---
+license: mit
+tags:
+- robotics
+- simulation
+- deformable-objects
+pretty_name: AdaptiGraph simulation data
+---
+
+# AdaptiGraph simulation data
+
+Simulation data for [AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation](https://robopil.github.io/adaptigraph/) (RSS 2024).
+Code: [github.com/Boey-li/AdaptiGraph](https://github.com/Boey-li/AdaptiGraph) · Checkpoints: [boeyyyy/AdaptiGraph](https://huggingface.co/boeyyyy/AdaptiGraph)
+
+100 episodes per material (98 train, 2 validation/visualization): `rope.zip`, `granular.zip`, `cloth.zip`.
+
+```
+hf download boeyyyy/AdaptiGraph-data --repo-type dataset --local-dir sim_data
+cd sim_data && for m in rope granular cloth; do unzip -q $m.zip; done
+```
+
+## Citation
+
+```bibtex
+@inproceedings{zhang2024adaptigraph,
+  title={AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation},
+  author={Zhang, Kaifeng and Li, Baoyu and Hauser, Kris and Li, Yunzhu},
+  booktitle={Proceedings of Robotics: Science and Systems (RSS)},
+  year={2024}
+}
+```

cloth.zip

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+oid sha256:ea9a6a46a9c67e33b069bd30f278b8899d6d650bdcce69b6cf66602af3c3b541
+size 476828964

granular.zip

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+oid sha256:dac9d8de0e0863045a2ac6c08c369537d5d94b8711e586922507da76177edfc1
+size 686064449

rope.zip

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+oid sha256:683f371e3267db89db953f1142cde33719c1e287c5397201704cf651b382fa12
+size 868133700