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To address this, we approach the problem from the perspective of evolving question complexity and select problems from Code Evol-Instruct dataset [10], which evolves in depth and breadth to cover a wide range of complexities and has proven effective in non-reasoning models [11].
Hello author, I am wondering how the dataset be curated. How to generate short and long reasoning data?
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