Update README.md

README.md

@@ -7,4 +7,61 @@ tags:
 - inscriptions
 - icdar
 - stone_inscriptions
+---
+
+# EpiSAM: Dataset
+
+[Project Website](https://ihdia.iiit.ac.in/episam/)
+
+
+## What the Dataset Contains
+
+- **Inscription Images**
+- **Binarised Images**
+- **Character Masks**
+- **Line Masks**
+
+## Citation
+
+If you use our dataset in your research, please cite the following papers:
+
+```bibtex
+@InProceedings{10.1007/978-3-032-36039-7_18,
+author="Sharma, Arnav
+and Jena, Pratyush
+and Joseph, Amal
+and Sarvadevabhatla, Ravi Kiran",
+title="EpiSAM: Character Segmentation in Challenging Stone Inscriptions",
+booktitle="Document Analysis and Recognition -- ICDAR 2026",
+year="2027",
+publisher="Springer Nature Switzerland",
+address="Cham",
+pages="299--315",
+isbn="978-3-032-36039-7"
+}
+
+
+@inproceedings{Jena_2025,
+series={ICVGIP 2025},
+title={Unveiling Text in Challenging Stone Inscriptions: A Character-Context-Aware Patching Strategy for Binarization},
+url={http://dx.doi.org/10.1145/3774521.3774539},
+DOI={10.1145/3774521.3774539},
+booktitle={Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing},
+publisher={ACM},
+author={Jena, Pratyush and Joseph, Amal and Sharma, Arnav and Sarvadevabhatla, Ravi Kiran},
+year={2025},
+month=Dec,
+pages={1–9},
+collection={ICVGIP 2025}
+}
+```
+
+## Acknowledgement
+
+We sincerely acknowledge **The Mythic Society Bengaluru** for providing the inscription images used in this work. These resources are part of the *Inscriptions 3D Digital Conservation Project*, an initiative aimed at preserving and digitizing valuable epigraphic heritage.
+
+For more information about the project, please visit:
+
+[Akshara Bhandara – Inscriptions 3D Digital Conservation Project](https://mythicsociety.github.io/AksharaBhandara/).
+
 ---