**EgyHellaSwag** is a benchmark for evaluating commonsense reasoning in Egyptian Arabic. It is a translated version of the HellaSwag benchmark, consisting of multiple-choice sentence completion tasks. The dataset was translated using the `google/gemma-3-27b-it` model.
title={NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities},
author={Abdellah El Mekki and Houdaifa Atou and Omer Nacar and Shady Shehata and Muhammad Abdul-Mageed},
year={2025},
eprint={2505.18383},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2505.18383},
}
```
### Groups and Tasks
#### Groups
* Not part of a group.
#### Tags
*`egyhellaswag`
### Checklist
For adding novel benchmarks/datasets to the library:
* [x] Is the task an existing benchmark in the literature?
* [x] Have you referenced the original paper that introduced the task?
* [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
If other tasks on this dataset are already supported:
* [ ] Is the "Main" variant of this task clearly denoted?
* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates?
* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
EgyMMLU is a benchmark designed to evaluate the performance of large language models in Egyptian Arabic. It contains 22,027 multiple-choice questions covering 44 subjects, translated from parts of the Massive Multitask Language Understanding (MMLU) and ArabicMMLU benchmarks. The dataset was translated using `google/gemma-3-27b-it`.
*`egymmlu_language`: evaluates EgyMMLU language tasks.
*`egymmlu_other`: evaluates other EgyMMLU tasks.
### Checklist
For adding novel benchmarks/datasets to the library:
* [x] Is the task an existing benchmark in the literature?
* [x] Have you referenced the original paper that introduced the task?
* [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
If other tasks on this dataset are already supported:
* [ ] Is the "Main" variant of this task clearly denoted?
* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates?
* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
