Add paper and code links, update task category and license

README.md

@@ -1,18 +1,47 @@
 ---
-license: apache-2.0
-task_categories:
-- image-feature-extraction
 language:
 - en
+license: mit
+size_categories:
+- 10K<n<100K
+task_categories:
+- robotics
+pretty_name: FEATS - Finite Element Analysis for Tactile Sensing
 tags:
 - tactile-sensing
-- robotics
 - gelsight
 - force-distribution
-pretty_name: >-
-  Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis
-size_categories:
-- 10K<n<100K
 arxiv: 2411.03315
-website: https://feats-ai.github.io
----
+---
+
+# FEATS: Finite Element Analysis for Tactile Sensing
+
+[**Project Page**](https://feats-ai.github.io) | [**Paper**](https://huggingface.co/papers/2411.03315) | [**Code**](https://github.com/feats-ai/feats)
+
+FEATS (Finite Element Analysis for Tactile Sensing) is a framework and dataset designed to estimate contact force distributions directly from raw images of a GelSight Mini optical tactile sensor. By using a U-net architecture trained on labels generated through Finite Element Analysis (FEA), the model can predict normal and shear force distributions from gel deformations.
+
+## Dataset Description
+
+The dataset consists of GelSight Mini images paired with shear and normal force distribution labels inferred from FEA simulations. 
+
+- **Data format**: The dataset is stored as `.npy` files.
+- **Requirements**: It is recommended to use `numpy` version 2.X or higher to load the dataset.
+- **Contents**: The data includes training, validation, and test sets featuring raw sensor images and corresponding force maps.
+
+For detailed instructions on data preparation, training, and evaluation, please refer to the [official GitHub repository](https://github.com/feats-ai/feats).
+
+## Citation
+
+If you use this dataset or the associated code in your research, please cite:
+
+```bibtex
+@misc{helmut_dziarski2025feats,
+      title={Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis}, 
+      author={Erik Helmut and Luca Dziarski and Niklas Funk and Boris Belousov and Jan Peters},
+      year={2025},
+      eprint={2411.03315},
+      archivePrefix={arXiv},
+      primaryClass={cs.RO},
+      url={https://arxiv.org/abs/2411.03315}, 
+}
+```