Introduction Text English V1.1 by Akim

src/about.py

@@ -75,11 +75,14 @@ TITLE = """<h1 align="center" id="space-title">Open Japanese LLM Leaderboard by
 
 # What does your leaderboard evaluate?
 INTRODUCTION_TEXT = """
-:jp: The Open Japanese LLM Leaderboard :cherry_blossom: by [LLM-Jp](https://llm-jp.nii.ac.jp/en/) evaluates the performance of Japanese Large Language Models (LLMs).
+🇯🇵 The Open Japanese LLM Leaderboard 🌸 by [LLM-Jp](https://llm-jp.nii.ac.jp/en/) evaluates the performance of Japanese Large Language Models (LLMs).
 
 This leaderboard was built by [LLM-Jp](https://llm-jp.nii.ac.jp/en/), a cross-organizational project for the research and development of Japanese large language models (LLMs). Organized by the National Institute of Informatics, LLM-jp aims to develop open-source and strong Japanese LLMs, and as of this writing, more than 1,500 participants from academia and industry are working together for this purpose.
-When you submit a model on the "Submit here!" page, it is automatically evaluated on a set of benchmarks. Before you submit it, please describe in details your LLM in the Hugging Face 's model card. 
-This Open Japanese LLM Leaderboard assesses language understanding, of Japanese LLMs with more than 52 benchmarks from classical and modern NLP tasks such as Natural language inference, Question Answering, Machine Translation, Code Generation, Mathematical reasoning, Summarization, etc. For more information about benchmark, datasets, and the license, please consult the "About" page or directly to the evaluation tool, llm-jp-eval.
+When you submit a model on the "Submit here!" page, it is automatically evaluated on a set of benchmarks. Before you submit it, please describe in details your LLM in the Hugging Face 's model card.
+
+This Open Japanese LLM Leaderboard assesses language understanding, of Japanese LLMs with more than 52 benchmarks from classical and modern NLP tasks such as Natural language inference, Question Answering, Machine Translation, Code Generation, Mathematical reasoning, Summarization, etc.
+
+For more information about benchmarks, datasets, and licenses, please consult the "About" page or directly to the evaluation tool, [llm-jp-eval](https://github.com/llm-jp/llm-jp-eval).
 
 For more details, please refer to the website of [LLM-Jp](https://llm-jp.nii.ac.jp/en/)