PatiGonit22K: A Comprehensive Dataset for Solving Complex Bengali MWPs

PatiGonit22K：用于解决复杂孟加拉语数学应用题的综合数据集

Abstract: Mathematical Word Problems (MWPs) are an important benchmark for evaluating natural language understanding and quantitative reasoning. Despite recent progress in high-resource languages, Bengali remains underexplored due to the limited availability of large-scale annotated datasets.

摘要： 数学应用题（MWP）是评估自然语言理解和定量推理能力的重要基准。尽管高资源语言在这一领域取得了进展，但由于缺乏大规模标注数据集，孟加拉语的相关研究仍处于探索不足的状态。

In this work, we introduce PatiGonit22K, an expanded Bengali MWP dataset containing 22,441 problems, developed by extending the original PatiGonit dataset with a substantially larger collection of complex mathematical problems. The dataset includes both simple and multi-operation equations, providing a balanced benchmark for evaluating mathematical reasoning across different difficulty levels.

在这项工作中，我们推出了 PatiGonit22K，这是一个包含 22,441 道题目的扩展版孟加拉语数学应用题数据集。该数据集通过在原始 PatiGonit 数据集的基础上，大幅扩充了复杂数学问题而构建。该数据集涵盖了简单方程和多步运算方程，为评估不同难度等级下的数学推理能力提供了一个均衡的基准。

Each problem is carefully translated, annotated, culturally adapted, and verified to ensure linguistic consistency and mathematical correctness. By increasing both the scale and complexity of Bengali MWPs, PatiGonit22K provides a more comprehensive resource for future research on mathematical reasoning and educational NLP applications in low-resource languages.

每一道题目都经过了仔细的翻译、标注、文化适配和核对，以确保语言的一致性和数学的准确性。通过提升孟加拉语数学应用题的规模与复杂度，PatiGonit22K 为未来低资源语言的数学推理研究及教育类自然语言处理（NLP）应用提供了更全面的资源。

---

Paper Details:

• Authors: Swastika Kundu, Azizul Hakim Fayaz, Tashreef Muhammad
• Submission Date: 24 Jul 2026
• Subject: Computation and Language (cs.CL)
• DOI: 10.48550/arXiv.2607.22859

论文详情：

• 作者： Swastika Kundu, Azizul Hakim Fayaz, Tashreef Muhammad
• 提交日期： 2026 年 7 月 24 日
• 学科： 计算与语言 (cs.CL)
• DOI： 10.48550/arXiv.2607.22859