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README.md

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 ---
-license: mit
+license: apache-2.0
+datasets:
+- leduckhai/S-Chain
+language:
+- en
 ---
+
+<p align="center">
+  <img src="./SChain_icon.png" alt="S-Chain logo" width="70">
+</p>
+
+<h1 align="center">S-Chain: Structured Visual Chain-of-Thought for Medicine</h1>
+
+
+
+[![ArXiv](https://img.shields.io/badge/Paper-ArXiv-b31b1b.svg)](https://arxiv.org/abs/2510.22728)
+[![Hugging Face](https://img.shields.io/badge/🤗%20Model-HuggingFace-blue)](https://huggingface.co/leduckhai/S-Chain)
+[![Dataset](https://img.shields.io/badge/📂%20Dataset-S--Chain%20Data-blue)](https://huggingface.co/datasets/leduckhai/S-Chain)
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/leduckhai/S-Chain/blob/main/DATASET_LICENSE.md)
+[![Website](https://img.shields.io/badge/🌐%20Project%20Page-S--Chain-green)](https://s-chain.github.io/)
+[![GitHub](https://img.shields.io/badge/GitHub-Repository-black?logo=github)](https://github.com/leduckhai/S-Chain)
+
+---
+
+⭐ **If you find this project helpful, please consider giving it a [star on GitHub](https://github.com/leduckhai/S-Chain)!**  
+
+---
+
+<p align="center">
+  <a href="https://github.com/leduckhai" target="_blank"><strong>Khai Le-Duc</strong></a><sup>* 1,2✉</sup>, 
+  <a href="https://scholar.google.com/citations?user=_NIyeykAAAAJ&hl=en" target="_blank"><strong>Duy M. H. Nguyen</strong></a><sup>* 3,4,24✉</sup>, 
+  <a href="https://scholar.google.com/citations?user=5CbQH_kAAAAJ&hl=en" target="_blank"><strong>Phuong T. H. Trinh</strong></a><sup>* 5</sup>, 
+  <strong>Tien-Phat Nguyen</strong><sup>* 6</sup>,  
+  Nghiem T. Diep<sup>** 3</sup>, 
+  An Ngo<sup>** 7</sup>, 
+  Tung Vu<sup>** 8</sup>, 
+  <a href="https://scholar.google.com/citations?user=trFdwLkAAAAJ&hl=en" target="_blank"><strong>Trinh Vuong</strong></a><sup>9</sup>, 
+  Anh-Tien Nguyen<sup>10,11</sup>,  
+  Mau Nguyen<sup>12</sup>, 
+  Van Trung Hoang<sup>13</sup>, 
+  <a href="https://scholar.google.com/citations?user=IMryD1YAAAAJ&hl=en" target="_blank"><strong>Khai-Nguyen Nguyen</strong></a><sup>14</sup>, 
+  <a href="https://scholar.google.com/citations?user=ZAuQIqwAAAAJ&hl=en" target="_blank"><strong>Hy Nguyen</strong></a><sup>15</sup>, 
+  Chris Ngo<sup>2</sup>,  
+  <a href="https://scholar.google.com/citations?user=k_4zYecAAAAJ&hl=en" target="_blank"><strong>Anji Liu</strong></a><sup>16</sup>, 
+  <a href="https://scholar.google.com/citations?user=Xs7cKMwAAAAJ&hl=en" target="_blank"><strong>Nhat Ho</strong></a><sup>17</sup>, 
+  <a href="https://scholar.google.com/citations?user=Khifj_MAAAAJ&hl=en" target="_blank"><strong>Anne-Christin Hauschild</strong></a><sup>11</sup>, 
+  <a href="https://scholar.google.com/citations?user=SmqouhIAAAAJ&hl=en" target="_blank"><strong>Khanh Xuan Nguyen</strong></a><sup>18</sup>,  
+  <a href="https://scholar.google.com/citations?user=UrTlMiwAAAAJ&hl=en" target="_blank"><strong>Thanh Nguyen-Tang</strong></a><sup>19</sup>, 
+  <a href="https://scholar.google.com/citations?user=cnncomYAAAAJ&hl=en" target="_blank"><strong>Pengtao Xie</strong></a><sup>20,21</sup>, 
+  <a href="https://scholar.google.com/citations?user=v7i6Uz4AAAAJ&hl=en" target="_blank"><strong>Daniel Sonntag</strong></a><sup>3,22</sup>,  
+  <a href="https://scholar.google.com/citations?user=23ZXZvEAAAAJ&hl=en" target="_blank"><strong>James Zou</strong></a><sup>23</sup>, 
+  <a href="https://scholar.google.com/citations?user=p5vLzq0AAAAJ&hl=en" target="_blank"><strong>Mathias Niepert</strong></a><sup>4,24</sup>, 
+  <a href="https://scholar.google.com/citations?user=EQw8d9AAAAAJ&hl=en" target="_blank"><strong>Anh Totti Nguyen</strong></a><sup>25✉</sup>
+</p>
+
+
+<p align="center">
+  <em>*Co-first authors; order randomized &nbsp;&nbsp;|&nbsp;&nbsp; **Co-second authors</em><br>
+  <em>✉ Corresponding Authors</em>
+</p>
+<details>
+<summary><strong>🎓 Affiliations</strong> (click to expand)</summary>
+1. University of Toronto, Canada  
+2. Knovel Engineering Lab, Singapore  
+3. German Research Centre for Artificial Intelligence  
+4. University of Stuttgart, Germany  
+5. Chonnam National University, South Korea  
+6. Singapore University of Technology and Design  
+7. Bucknell University, USA  
+8. Concordia University, Canada  
+9. Korea University  
+10. Justus Liebig University Giessen, Germany  
+11. University Medical Center Göttingen, Germany  
+12. Japan Advanced Institute of Science and Technology  
+13. Hue University, Vietnam  
+14. College of William & Mary, USA  
+15. Deakin University, Australia  
+16. National University of Singapore  
+17. University of Texas at Austin, USA  
+18. University of California, Berkeley, USA  
+19. New Jersey Institute of Technology, USA  
+20. University of California San Diego, USA  
+21. MBZUAI, UAE  
+22. Oldenburg University, Germany  
+23. Stanford University, USA  
+24. Max Planck Research School for Intelligent Systems (IMPRS-IS), Germany  
+25. Auburn University, USA  
+</details>
+---
+<p align="center">
+  ✨ In honor of 
+  <a href="https://en.wikipedia.org/wiki/H%E1%BA%A3i_Th%C6%B0%E1%BB%A3ng_L%C3%A3n_%C3%94ng" target="_blank"><strong>Hải Thượng Lãn Ông (海上懶翁) – Lê Hữu Trác (黎友晫)</strong></a>, 
+  the father of Vietnamese traditional medicine ✨
+</p>
+## 🔍 What is S-Chain?
+S-Chain is the first large-scale dataset of **Structured Visual Chain-of-Thought (SV-CoT)**:
+each reasoning step is explicitly linked to visual evidence via bounding boxes.
+This enables training and evaluating *grounded* medical VLM reasoning instead of
+hallucinated justifications.
+- **12,000 medical images** with expert bounding boxes.
+- **700k+ VQA / rationale pairs** across **16 languages**.
+- Each sample: image, question, answer, stepwise SV-CoT, and per-step visual regions.
+
+We show that supervising VLMs with SV-CoT:
+- Improves interpretability
+- Improves grounding fidelity (reasoning actually points to the right region)
+- Improves robustness across models and languages
+
+<p align="center">
+<img src="main_pipeline.png" alt="Alt text" width="1400"/>
+</p>
+
+
+## 📣 News
+
+- **[Oct 2025]** Updated experiment scripts and checkpoints for ExGra-Med and LLaVA-Med. See the [readme](architectures/Exgra-Med-CoT/README.md) for detailed instructions.
+- **[Oct 2025]** Dataset and project site released.
+
+## Citation
+If you find this work useful, please cite our paper: [https://arxiv.org/abs/2510.22728](https://arxiv.org/abs/2510.22728)
+
+```
+@article{leduc2025schain,
+  title={S-Chain: Structured Visual Chain-of-Thought For Medicine},
+  author={Le-Duc, Khai and Trinh, Phuong T. H. and Nguyen, Duy M. H. and Nguyen, Tien-Phat and Diep, Nghiem T. and Ngo, An and Vu, Tung and Vuong, Trinh and Nguyen, Anh-Tien and Nguyen, Mau and Hoang, Van Trung and Nguyen, Khai-Nguyen and Nguyen, Hy and Ngo, Chris and Liu, Anji and Ho, Nhat and Hauschild, Anne-Christin and Nguyen, Khanh Xuan and Nguyen-Tang, Thanh and Xie, Pengtao and Sonntag, Daniel and Zou, James and Niepert, Mathias and Nguyen, Anh Totti},
+  journal={arXiv preprint},
+  eprint={2510.22728},
+  url={https://arxiv.org/abs/2510.22728},
+  year={2025}
+}
+```
+
+## ⚖️ Important Notice on Dataset Usage
+
+The S-Chain dataset is provided solely for research and educational purposes.
+It may contain human or machine annotation errors, as well as potential biases or inconsistencies inherent to medical data.
+Users are expected to exercise appropriate caution in interpretation and ensure ethical and non-commercial use.