update README

README.md

@@ -12,10 +12,10 @@
 
 ## 🔥 News
 
-- **[2024.3.4]** We have released the [evaluation page](https://opendfm.github.io/MULTI-Benchmark/static/pages/submit.html).
+- **[2024.3.4]** We have released the [evaluation page](https://OpenDFM.github.io/MULTI-Benchmark/static/pages/submit.html).
 - **[2024.2.19]** We have released the [HuggingFace Page](https://huggingface.co/datasets/OpenDFM/MULTI-Benchmark/).
 - **[2024.2.6]** We have published our [paper](https://arxiv.org/abs/2402.03173/) on arXiv.
-- **[2023.12.7]** We have released the [code](./eval) of our benchmark evaluation.
+- **[2023.12.7]** We have released the [code](https://github.com/OpenDFM/MULTI-Benchmark/tree/main/eval) of our benchmark evaluation.
 - **[2023.12.5]** We have released the [GitHub Page](https://OpenDFM.github.io/MULTI-Benchmark/).
 
 ## 📖 Overview
@@ -40,8 +40,6 @@ Rapid progress in multimodal large language models (MLLMs) highlights the need t
 |    🖼️    |   VisualGLM   | visualglm-6b               |  31.1   |    12.8     |
 |    🖼️    | Chinese-LLaVA | Chinese-LLaVA-Cllama2      |  28.5   |    12.3     |
 
-For more details, please visit our [leaderboard]() (Coming Soon).
-
 ## ⏬ Download
 
 You can simply download data using the following command:
@@ -180,7 +178,7 @@ If you evaluate the model with our official code, you can simply zip the predict
 
 Then, you can submit your result to our [evaluation page](https://opendfm.github.io/MULTI-Benchmark/static/pages/submit.html).
 
-You are also welcome to pull a request and contribute your code to our evaluation code. We will be very grateful for your contribution!
+You are also welcomed to pull a request and contribute your code to our evaluation code. We will be very grateful for your contribution!
 
 **[Notice]** Thank you for being so interested in the **MULTI** dataset! If you want to add your model in our leaderboard, please fill in [this questionnaire](https://wj.sjtu.edu.cn/q/89UmRAJn), your information will be kept strictly confidential, so please feel free to fill it out. 🤗
 

README_zh.md

@@ -15,7 +15,7 @@
 - **[2024.3.4]** 我们发布了[评测页面](https://opendfm.github.io/MULTI-Benchmark/static/pages/submit.html)。
 - **[2024.2.19]** 我们发布了[HuggingFace页面](https://huggingface.co/datasets/OpenDFM/MULTI-Benchmark/)。
 - **[2024.2.6]** 我们在arXiv上发布了我们的[论文](https://arxiv.org/abs/2402.03173/)。
-- **[2023.12.7]** 我们发布了我们的基准评测[代码](./eval)。
+- **[2023.12.7]** 我们发布了我们的基准评测[代码](https://github.com/OpenDFM/MULTI-Benchmark/tree/main/eval)。
 - **[2023.12.5]** 我们发布了[GitHub页面](https://OpenDFM.github.io/MULTI-Benchmark/)。
 
 ## 📖 介绍
@@ -40,8 +40,6 @@
 |  🖼️  |   VisualGLM   | visualglm-6b               | 31.1 |    12.8     |
 |  🖼️  | Chinese-LLaVA | Chinese-LLaVA-Cllama2      | 28.5 |    12.3     |
 
-更多详情，请访问我们的[排行榜]()（即将推出）。
-
 ## ⏬ 下载
 
 您只需使用以下命令即可下载数据：