Update readme

README.md

@@ -43,9 +43,11 @@ configs:
     - "val/*.parquet"
 ---
 # CMMU
-[**📖 Paper**](https://arxiv.org/) | [**🤗 Dataset**](https://huggingface.co/datasets) | [**GitHub**](https://github.com/FlagOpen/CMMU)
+[**📖 Paper**](https://arxiv.org/abs/2401.14011) | [**🤗 Dataset**](https://huggingface.co/datasets) | [**GitHub**](https://github.com/FlagOpen/CMMU)
 
-This repo contains the evaluation code for the paper [**CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning**](https://arxiv.org/) .
+This repo contains the evaluation code for the paper [**CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning**](https://arxiv.org/abs/2401.14011) .
+
+We release the validation set of CMMU, you can download it from [here](https://huggingface.co/datasets/BAAI/CMMU). The test set will be hosted on the [flageval platform](https://flageval.baai.ac.cn/). Users can test by uploading their models.
 
 ## Introduction
 CMMU is a novel multi-modal benchmark designed to evaluate domain-specific knowledge across seven foundational subjects: math, biology, physics, chemistry, geography, politics, and history. It comprises 3603 questions, incorporating text and images, drawn from a range of Chinese exams. Spanning primary to high school levels, CMMU offers a thorough evaluation of model capabilities across different educational stages.
@@ -74,7 +76,7 @@ We currently evaluated 10 models on CMMU. The results are shown in the following
 @article{he2024cmmu,
         title={CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning},
         author={Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu and Hua Huang},
-        journal={arXiv preprint},
+		journal={arXiv preprint arXiv:2401.14011},        
         year={2024},
       }
 ```