add link to evaluation code

content.py

@@ -11,7 +11,11 @@ benchname = 'KOFFVQA'
 Bottom_logo = f'''<img src="data:image/jpeg;base64,{bottom_logo}" style="width:20%;display:block;margin-left:auto;margin-right:auto">'''
 
 intro_md = f'''
-# KOFFVQA Leaderboard
+# {benchname} Leaderboard
+
+* [Dataset](https://huggingface.co/datasets/maum-ai/KOFFVQA_Data)
+* [Evaluation Code](https://github.com/maum-ai/KOFFVQA)
+* Report (coming soon)
 
 {benchname}🔍 is a Free-Form VQA benchmark dataset designed to evaluate Vision-Language Models (VLMs) in Korean language environments. Unlike traditional multiple-choice or predefined answer formats, KOFFVQA challenges models to generate open-ended, natural-language answers to visually grounded questions. This allows for a more comprehensive assessment of a model's ability to understand and generate nuanced Korean responses.
 
@@ -29,10 +33,10 @@ The {benchname} benchmark is designed to evaluate and compare the performance of
 
 This benchmark includes a total of 275 Korean questions across 10 tasks. The questions are open-ended, free-form VQA (Visual Question Answering) with objective answers, allowing responses without strict format constraints.
 
-We will add more information about this benchmark soon.
-
 ## News
 
+* **2025-01-21**: [Evaluation code](https://github.com/maum-ai/KOFFVQA) release
+
 * **2024-12-06**: Leaderboard Release!
 
 '''.strip()