Add GitHub repository links

.gitignore

@@ -1,6 +1,7 @@
 README_all_ch.md
 README_all.md
 LOCAL_MAINTENANCE.md
+scripts/
 bei_sample_90.json
 tie_sample_90.json
 bei/
@@ -8,3 +9,4 @@ tie/
 wild/
 wild.zip
 wild.zip.*
+logs/

README.md

@@ -24,6 +24,7 @@ size_categories:
 <div align="center">
 
 [![Paper](https://img.shields.io/badge/Paper-PDF-red.svg)](#)
+[![GitHub](https://img.shields.io/badge/GitHub-209--Tongji%2FHCSU-black.svg?logo=github)](https://github.com/209-Tongji/HCSU)
 [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Dataset-blue.svg)](https://huggingface.co/datasets/Tongji209/HCSU)
 [![Code License](https://img.shields.io/badge/Code%20License-Apache_2.0-green.svg)](https://www.apache.org/licenses/LICENSE-2.0)
 [![Data License](https://img.shields.io/badge/Data%20License-CC%20BY--NC_4.0-yellow.svg)](https://creativecommons.org/licenses/by-nc/4.0/)
@@ -36,6 +37,8 @@ size_categories:
 
 > **Abstract:** Addressing the "Knowledgeable but unperceptive" dilemma where existing Large Vision-Language Models (LVLMs) possess historical knowledge but lack fine-grained calligraphy style perception, we introduce **HCSU**—the first large-scale dataset and evaluation benchmark specifically tailored for fine-grained historical calligraphy style understanding. HCSU contains 39,307 meticulously annotated high-definition Chinese character images, accompanied by expert-level hierarchical aesthetic descriptions. Through a pioneering rigorous data processing pipeline, we successfully decouple authentic ink manuscripts (**Tie**) from stone rubbings (**Bei**), thoroughly resolving the "modality aliasing" problem that has long plagued the digital cultural heritage field.
 
+Code is available at: [209-Tongji/HCSU](https://github.com/209-Tongji/HCSU).
+
 <div align="center">
   <img src="./assets/head.png" alt="Figure 1: HCSU Dataset Overview and Multi-dimensional Annotation" width="80%">
   <p><i>Figure 1: The panoramic data experience of HCSU. Beyond single images, we provide technical dimensions of calligraphy expression (Ink Style, Stroke Style, Structure) and expert-level descriptions of aesthetic spirit, enabling highly interpretable fine-grained visual reasoning.</i></p>