updated README

README.md

@@ -73,3 +73,45 @@ configs:
     - split: test
       path: ArabicMMLU-lev/test.json
 ---
+
+# AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
+
+## Overview
+
+The **AraDiCE** dataset is designed to evaluate dialectal and cultural capabilities in large language models (LLMs). The dataset consists of post-edited versions of various benchmark datasets, curated for validation in cultural and dialectal contexts relevant to Arabic.
+
+As part of the supplemental materials, we have selected a few datasets (see below) for the reader to review. We will make the full AraDiCE benchmarking suite publicly available to the community.
+
+## File/Directory
+
+TO DO:
+
+- **licenses_by-nc-sa_4.0_legalcode.txt** License information.
+- **README.md** This file.
+
+
+## Dataset Usage
+
+The AraDiCE dataset is intended to be used for benchmarking and evaluating large language models, specifically focusing on:
+
+- Assessing the performance of LLMs on Arabic-specific dialect and cultural specifics.
+- Dialectal variations in the Arabic language.
+- Cultural context awareness in reasoning.
+
+
+## License
+
+The dataset is distributed under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)**. The full license text can be found in the accompanying `licenses_by-nc-sa_4.0_legalcode.txt` file.
+
+
+## Citation
+
+```
+@article{mousi2024aradicebenchmarksdialectalcultural,
+      title={{AraDiCE}: Benchmarks for Dialectal and Cultural Capabilities in LLMs},
+      author={Basel Mousi and Nadir Durrani and Fatema Ahmad and Md. Arid Hasan and Maram Hasanain and Tameem Kabbani and Fahim Dalvi and Shammur Absar Chowdhury and Firoj Alam},
+      year={2024},
+      publisher={arXiv:2409.11404},
+      url={https://arxiv.org/abs/2409.11404},
+}
+```