Update README.md

README.md

@@ -64,9 +64,7 @@ This page introduces the **Babel-9B-Base** model
 We employ multilingual tasks across several categories:
 
 1. **World Knowledge:**  
-   MMMLU ([OpenAI 2024](https://huggingface.co/datasets/openai/MMMLU)), a human-translated version of MMLU ([Hendrycks et al. 2021](https://arxiv.org/abs/2009.03300)) available in 14 languages.  
-   For languages not covered, we use Google Translate ([Google Translate API](https://translate.google.com/)) to generate translations.  
-   Additionally, we include M3Exam ([M3Exam](https://arxiv.org/abs/2306.05179)), which consists of authentic human exam questions collected from various countries, covering multiple subjects and educational levels.
+   MMMLU ([OpenAI 2024](https://huggingface.co/datasets/openai/MMMLU)), a human-translated version of MMLU ([Hendrycks et al. 2021](https://arxiv.org/abs/2009.03300)) available in 14 languages. For languages not covered, we use Google Translate ([Google Translate API](https://translate.google.com/)) to generate translations. Additionally, we include M3Exam ([M3Exam](https://arxiv.org/abs/2306.05179)), which consists of authentic human exam questions collected from various countries, covering multiple subjects and educational levels.
 
 2. **Reasoning:**  
    MGSM ([Shi et al. 2022](https://arxiv.org/abs/2210.03057)) and XCOPA ([Ponti et al. 2020](https://aclanthology.org/2020.emnlp-main.185/)).