UWNSL/Mix-Large_large_0.2_small_0.8
收藏Hugging Face2025-02-21 更新2025-04-19 收录
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https://hf-mirror.com/datasets/UWNSL/Mix-Large_large_0.2_small_0.8
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资源简介：
该数据集是从MATH数据集中选取的问题和两种不同规模（大型和小型）模型生成的链式思维（CoT）响应混合而成的。它用于研究小型模型在学习复杂推理任务时的局限性，并探索了通过混合蒸馏策略来提高小型模型推理性能的方法。
The dataset is a mixture of problems from the MATH dataset and CoT responses generated from two different sized models (large and small). It is used to study the limitations of small models in learning complex reasoning tasks and explores methods to improve the reasoning performance of small models through mixed distillation strategies.
提供机构：
UWNSL
