B-REASO: A Multi-Level Multi-Faceted Bengali Evaluation Suite for Foundation Models

Abstract

The fast growth of large language models (LLMs) necessitates the urgent need for new NLP benchmarks. We provide B-REASO, the first inclusive Bengali assessment suite created to evaluate advanced foundation model knowledge and reasoning skills in a Bengali language setup. The B-REASO includes multiple-choice questions with four different degrees of difficulty: professional, college, high school, and middle school. The questions cover 50 different fields, from science and engineering to the humanities. Alongside B-REASO, there is B-REASO HEAVY, a subset of extremely difficult B-REASO topics that need for sophisticated reasoning skills to answer. We do a thorough assessment of the most sophisticated LLMs on B-REASO, encompassing models with an English focus. Findings show that only Claude-3.5-Sonnet was able to get an average accuracy of more than 65%, indicating that contemporary LLMs still have a long way to go. We hope that B-REASO will support the creation and expansion of foundation models for Bengali users by assisting in the analysis of significant advantages and disadvantages of these models. We open-source our code and data at https://github.com/kraritt/b-reaso.