Add dataset card, link to paper and project page

README.md

@@ -1,3 +1,38 @@
----
-license: cc-by-nc-4.0
----
+---
+license: cc-by-nc-4.0
+task_categories:
+- robotics
+tags:
+- visuo-tactile
+- manipulation
+- world-models
+---
+
+# OmniViTac Dataset
+
+OmniViTac is a large-scale visuo-tactile-action dataset introduced in the paper [OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation](https://huggingface.co/papers/2603.19201).
+
+[**Project Page**](https://mrsecant.github.io/OmniVTA) | [**GitHub**](https://github.com/MrSecant/OmniVTA) | [**Paper**](https://huggingface.co/papers/2603.19201)
+
+## Dataset Summary
+The OmniViTac dataset comprises 21,000+ trajectories across 86 tasks and 100+ objects, organized into six physics-grounded interaction patterns. It is designed to support the development of world-model-based visuo-tactile manipulation frameworks, providing high-frequency tactile feedback alongside visual observations and robot actions for contact-rich tasks such as wiping and assembly.
+
+## Interaction Patterns
+The dataset covers six physics-grounded interaction categories:
+1. Wiping
+2. Assembly
+3. Pushing
+4. Sliding
+5. Grasping
+6. Peg-in-hole insertion
+
+## Citation
+If you use this dataset in your research, please cite the following paper:
+```bibtex
+@article{OmniVTA2026,
+  title={OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation},
+  author={Anonymous},
+  journal={arXiv preprint arXiv:2603.19201},
+  year={2026}
+}
+```