Update README.md

README.md

@@ -35,4 +35,37 @@ configs:
       - split: test
         path:
           - "Task6(AWP).csv"
----
+---
+
+
+# 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      |
+
+---
+
+## 📜 Citation
+
+If you use **BenNumEval** in your work, please cite:
+
+```bibtex
+@inproceedings{ahmed2025bennumeval,
+  title={BenNumEval: A Benchmark to Assess LLM’s Numerical Reasoning Capabilities in Bengali},
+  author={Ahmed, Kawsar and Osama, Md and Sharif, Omar and Hossain, Eftekhar and Hoque, Mohammed Moshiul},
+  booktitle={Proceedings of the ACL 2025},
+  year={2025}
+}
+```