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README.md

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 ## 🌐 About OpenDataArena
 
 **OpenDataArena (ODA)** is an open research initiative devoted to evaluating, benchmarking, and creating high-value datasets for the post-training era of large language models (LLMs).  
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 ### 🔑 Key Features
 
-- 🏆 **Dataset Leaderboard** — [Leaderboard](https://opendataarena.github.io/leaderboard.html) ranks and visualizes the most valuable datasets across multiple domains, based on unified post-training benchmarks.  
-- 📊 **Comprehensive Scoring System** — [Scoring tool](https://github.com/OpenDataArena/OpenDataArena-Tool/tree/main/data_scorer) measures dataset quality, diversity, difficulty, and learning value using reproducible pipelines.  
-- 🧰 **Open-Source Toolkit** — *[OpenDataArena-Tool](https://github.com/OpenDataArena/OpenDataArena-Tool)* enables dataset curation, scoring, and analysis with a standardized, community-driven workflow.  
+- 🏆 **Dataset Leaderboard** — [Leaderboard](https://opendataarena.github.io/leaderboard.html) ranks the most valuable datasets across multiple domains, based on unified post-training benchmarks.  
+- 📊 **Comprehensive Scoring System** — [Scoring tool](https://github.com/OpenDataArena/OpenDataArena-Tool/tree/main/data_scorer) measures dataset quality, diversity, and learning values using reproducible pipelines.  
+- 🧰 **Open-Source Toolkit** — *[OpenDataArena-Tool](https://github.com/OpenDataArena/OpenDataArena-Tool)* enables dataset evaluation, scoring with a standardized, community-driven workflow.  
 - 🌱 **High-Value Data Generation** — beyond evaluation, ODA continuously produces and shares new, top-quality datasets for fine-tuning and alignment research.