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---
configs:
- config_name: CA
data_files:
- split: test
path:
- Task1(CA).csv
- config_name: DS
data_files:
- split: test
path:
- Task2(DS).csv
- config_name: CQ
data_files:
- split: test
path:
- Task3(CQ).csv
- config_name: FiB
data_files:
- split: test
path:
- Task4(FiB).csv
- config_name: QNLI
data_files:
- split: test
path:
- Task5(QNLI).csv
- config_name: AWP
data_files:
- split: test
path:
- Task6(AWP).csv
license: mit
language:
- bn
pretty_name: BenNumEval
size_categories:
- 1K<n<10K
---
# BenNumEval: A Benchmark to Assess LLM’s Numerical Reasoning Capabilities in Bengali
**BenNumEval** is a novel benchmark designed to evaluate the numerical reasoning abilities of Large Language Models (LLMs) in the Bengali language. It introduces six diverse task categories and a high-quality dataset containing over 3,200 examples derived from educational and real-world sources.
## 📁 Dataset Overview
BenNumEval includes **3,255** curated examples divided into six task types:
| Task Type | Description | Examples |
|-------------------------------|-----------------------------------------------------------------------------|----------|
| Commonsense + Arithmetic (CA) | Problems combining arithmetic with common-sense knowledge | 410 |
| Domain-Specific (DS) | Problems requiring domain knowledge (e.g., physics, chemistry, CS) | 705 |
| Commonsense + Quantitative (CQ) | Simple comparisons based on everyday logic | 400 |
| Fill-in-the-Blanks (FiB) | Arithmetic word problems in fill-in-the-blank style | 665 |
| Quantitative NLI (QNLI) | Natural language inference involving numerical understanding | 425 |
| Arithmetic Word Problems (AWP)| Real-world word problems requiring arithmetic reasoning | 650 |
# Code Snipet to Download the dataset
Install the datasets library if you've not installed yet.
```
pip install datasets
```
Then load the dataset
```python
from datasets import load_dataset
dataset = load_dataset("ka05ar/BenNumEval", 'CA') #for downloading Task1(CA) subset
```
## 📜 Citation
If you use **BenNumEval** in your work, please cite:
```bibtex
@inproceedings{ahmed2025bennumeval,
title={BenNumEval: A Benchmark to Assess LLMs’ Numerical Reasoning Capabilities in Bengali},
author={Ahmed, Kawsar and Osama, Md and Sharif, Omar and Hossain, Eftekhar and Hoque, Mohammed Moshiul},
booktitle={Findings of the Association for Computational Linguistics: ACL 2025},
pages={17782--17799},
year={2025}
}
``` |