SOMADHAN: A Reasoning Based Bengali Math Word Problem Dataset

SOMADHAN is a Bengali Math Word Problem (MWP) dataset specifically designed to facilitate research in multilingual and low-resource natural language processing tasks, particularly in mathematical reasoning. This dataset consists of 8,792 Bengali complex math word problems, each accompanied by detailed, step-by-step solutions that mimic the logical flow of human problem-solving. The development of SOMADHAN was inspired by and based on the structure of the GSM8K dataset, a widely-used English-language benchmark for mathematical reasoning tasks. To ensure a robust and comprehensive dataset, we utilized the train and test portions of the publicly available GSM8K dataset, which together contain 8,792 English math problems with solutions.SOMADHAN是一款孟加拉语文本数学题（Math Word Problem, MWP）数据集，专为助力多语言与低资源自然语言处理任务，尤其是数学推理方向的研究而打造。该数据集包含8792道孟加拉语复杂文本数学题，每道题均附带贴合人类解题逻辑流程的详细分步解答。SOMADHAN的开发灵感源自并基于GSM8K数据集的结构框架，而GSM8K是当前广泛使用的英语数学推理基准数据集。为构建可靠且全面的数据集，我们采用了公开可用的GSM8K数据集的训练与测试子集，该子集共计包含8792道附带解答的英语数学题。