UWNSL/MATH_training_split_distill_large_teacher
收藏Hugging Face2025-02-21 更新2025-04-19 收录
下载链接：
https://hf-mirror.com/datasets/UWNSL/MATH_training_split_distill_large_teacher
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资源简介：
本数据集是基于MATH数据集的7.5k训练分割部分，用于研究大型教师模型与小型教师模型对不同的学生模型进行知识蒸馏的效果。数据集中包含了数学问题及其通过大型教师模型生成的正确答案，用于探究不同链式推理长度对学生模型学习的影响。
This dataset is based on the 7.5k training split from the MATH dataset, used to investigate the effects of knowledge distillation from large teacher models to different student models. It includes math problems and their correct answers generated by a large teacher model, for exploring the impact of different chain-of-thought lengths on student model learning.
提供机构：
UWNSL
