PatiGonit22K: A Comprehensive Dataset for Solving Complex Bengali MWPs
Quick Answer
PatiGonit22K is a newly introduced Bengali dataset consisting of 22,441 mathematical word problems (MWPs), enhancing the original PatiGonit dataset.
Quick Take
This resource aims to improve natural language understanding and quantitative reasoning in Bengali, addressing the scarcity of large annotated datasets for low-resource languages.
Key Points
- Dataset includes 22,441 problems, enhancing mathematical reasoning resources for Bengali.
- Problems range from simple to multi-operation equations, providing varied difficulty levels.
- Each problem is translated, annotated, and culturally adapted for consistency and correctness.
- PatiGonit22K addresses the lack of large-scale annotated datasets in low-resource languages.
- Aims to support future research in educational NLP applications for Bengali.
Paper Resources
Source Excerpt
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. 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 mathematica
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