Add links to paper, project page and Github

README.md

@@ -1,9 +1,9 @@
 ---
+language:
+- en
 license: apache-2.0
 task_categories:
 - question-answering
-language:
-- en
 tags:
 - math
 ---
@@ -11,6 +11,10 @@ tags:
 ## Overview
 VCBench provides a standardized framework for evaluating vision-language models. This document outlines the procedures for both standard evaluation and GPT-assisted evaluation of your model's outputs.
 
+Project page: https://alibaba-damo-academy.github.io/VCBench/
+Code: https://github.com/alibaba-damo-academy/VCBench
+Paper: https://huggingface.co/papers/2504.18589
+
 ## 1. Standard Evaluation
 
 ### 1.1 Output Format Requirements
@@ -86,11 +90,11 @@ Both evaluation scripts will provide:
   eprint    = {2504.18589},
   archivePrefix = {arxiv},
   primaryClass  = {cs.CV},
-  url       = {https://arxiv.org/abs/2504.18589}
+  url       = {https://huggingface.co/papers/2504.18589}
 }
 ```
 
 ## Dataset Card Authors
 
 - [Zhikai Wang](https://cloudcatcher888.github.io/): [email protected]
-- [Jiashuo Sun](https://gasolsun36.github.io/): [email protected]
+- [Jiashuo Sun](https://gasolsun36.github.io/): [email protected]