Update values in about.py file (#1)

- Update values in about.py file (985cb7654128517c229fe6a1ec4269b08077b0a5)


Co-authored-by: Akim Mousterou <AkimfromParis@users.noreply.huggingface.co>

src/about.py

@@ -158,12 +158,12 @@ class Tasks(Enum):
 # ---------------------------------------------------
 
 # Your leaderboard name
-TITLE = """<h1 align="center" id="space-title">🇯🇵 Open Japanese LLM Leaderboard 🌸<br>オープン日本語LLMリーダーボード</h1>"""
+TITLE = """<h1 align="center" id="space-title">🇯🇵 Open Japanese LLM Leaderboard V2 🌸<br>オープン日本語LLMリーダーボード V2</h1>"""
 
 # What does your leaderboard evaluate?
 INTRODUCTION_TEXT = """
 The __Open Japanese LLM Leaderboard__ by __[LLM-jp](https://llm-jp.nii.ac.jp/en/)__ evaluates
-the performance of Japanese Large Language Models (LLMs) across 12 categories covering more than 50 tasks from
+the performance of Japanese Large Language Models (LLMs) across 14 categories covering more than 71 tasks from
 classical to modern NLP tasks. The __Open Japanese LLM Leaderboard__ was built by open-source
 contributors of __[LLM-jp](https://llm-jp.nii.ac.jp/en/)__, a cross-organizational project
 for the research and development of Japanese LLMs supported by the _National Institute of
@@ -177,7 +177,7 @@ evaluate the performance of your model, and be part of the leaderboard.
 """
 INTRODUCTION_TEXT_JA = """\
 __[LLM-jp](https://llm-jp.nii.ac.jp/)__ による __オープン日本語LLMリーダーボード__ は、\
-古典的なものから最新のものまで12のカテゴリに渡る50種類以上のNLPタスクを用いて日本語大規模言語モデル(LLM)の\
+古典的なものから最新のものまで14のカテゴリに渡る71種類以上のNLPタスクを用いて日本語大規模言語モデル(LLM)の\
 性能を評価します。__オープン日本語LLMリーダーボード__ は、日本の国立情報学研究所を中心に\
 日本語LLMの研究開発を行う組織横断プロジェクト __[LLM-jp](https://llm-jp.nii.ac.jp/)__ \
 のオープンソース貢献者によって構築されました。
@@ -192,7 +192,7 @@ __「LLM Benchmark」__ ページでは、疑問符 **「?」** はHugging Face
 # Which evaluations are you running? how can people reproduce what you have?
 LLM_BENCHMARKS_TEXT = """
 ## How it works
-📈 We evaluate Japanese Large Language Models across 12 categories covering more than 50 tasks leveraging our evaluation tool [llm-jp-eval](https://github.com/llm-jp/llm-jp-eval), a unified framework to evaluate Japanese LLMs on various evaluation tasks.
+📈 We evaluate Japanese Large Language Models across 14 categories covering more than 71 tasks leveraging our evaluation tool [llm-jp-eval](https://github.com/llm-jp/llm-jp-eval), a unified framework to evaluate Japanese LLMs on various evaluation tasks.
 
 **NLI (Natural Language Inference)**