SOMADHAN: A Bengali Math Word Problem Dataset

Published: 27 May 2025| Version 1 | DOI: 10.17632/34bs5cxk9j.1
Contributors:
, Jalisha Jashim, Tahmid Sattar, Mirazur Rahman, Faisal Muhammad Shah

Description

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 4,000 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.

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Institutions

  • Ahsanullah University of Science and Technology

Categories

Natural Language Processing

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