Source

This dataset is derived from MathInstruct (https://huggingface.co/datasets/TIGER-Lab/MathInstruct). The English content was translated into Chinese using LLM, and data with translation errors or failures has been removed.

License

Please check the license of each subset in the original dataset MathInstruct.

Introduction

MathInstruct is a meticulously curated instruction tuning dataset that is lightweight yet generalizable. MathInstruct is compiled from 13 math rationale datasets, six of which are newly curated by this work. It uniquely focuses on the hybrid use of chain-of-thought (CoT) and program-of-thought (PoT) rationales, and ensures extensive coverage of diverse mathematical fields.