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README.md
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**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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We believe **data quality defines model capability** β and that **open, reproducible evaluation** is key to accelerating progress in AI.
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ODA provides a **transparent and data-centric ecosystem** where diverse datasets β from instruction-following and code generation to reasoning and mathematics β can be fairly compared, analyzed, and continuously improved.
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### π Our Mission
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To make **data evaluation scientific, transparent, and community-driven**, while continuously **producing high-value, openly available datasets** that enhance model alignment and reasoning ability.
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### π Key Features
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- π **Dataset Leaderboard** β [Leaderboard](https://opendataarena.github.io/leaderboard.html) ranks and visualizes the most valuable datasets across multiple domains, based on unified post-training benchmarks.
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- π± **High-Value Data Generation** β beyond evaluation, ODA continuously produces and shares new, top-quality datasets for fine-tuning and alignment research.
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If you find our work helpful, please consider β **starring** and **subscribing** to support open, data-driven AI research.
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Learn more at [opendataarena.github.io](https://opendataarena.github.io).
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**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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We believe **data quality defines model capability** β and that **open, reproducible evaluation** is key to accelerating progress in AI.
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### π Our Mission
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To make **data evaluation scientific, transparent, and community-driven**, while continuously **producing high-value, openly available datasets** that enhance model alignment and reasoning ability.
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### π Key Features
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- π **Dataset Leaderboard** β [Leaderboard](https://opendataarena.github.io/leaderboard.html) ranks and visualizes the most valuable datasets across multiple domains, based on unified post-training benchmarks.
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- π± **High-Value Data Generation** β beyond evaluation, ODA continuously produces and shares new, top-quality datasets for fine-tuning and alignment research.
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If you find our work helpful, please consider β **starring** and **subscribing** to support open, data-driven AI research. Learn more at [opendataarena.github.io](https://opendataarena.github.io).
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