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---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- found
license: mit
task_categories:
- question-answering
language:
- ar
pretty_name: abdoelsayed/Open-ArabicaQA
size_categories:
- 10K<n<100K
---
# ArabicaQA
ArabicaQA: Comprehensive Dataset for Arabic Question Answering
This repository contains dataset for paper *ArabicaQA: Comprehensive Dataset for Arabic Question Answering*. Below, we provide details regarding the materials available in this repository:
ArabicaQA is a robust dataset designed to support and advance the development of Arabic Question Answering (QA) systems. This dataset encompasses a wide range of question types, including both Machine Reading Comprehension (MRC) and Open-Domain questions, catering to various aspects of QA research and application. The dataset is structured to facilitate training, validation, and testing of Arabic QA models.
For more detail https://github.com/DataScienceUIBK/ArabicaQA/tree/main
## Dataset
Within this folder, you will find the training, validation, and test sets of the ArabicaQA dataset. Refer to the table below for the dataset statistics:
| | Training | Validation | Test |
| -------------------|----------|------------|--------|
| MRC (with answers) | 62,186 | 13,483 | 13,426 |
| MRC (unanswerable) | 2,596 | 561 | 544 |
| Open-Domain | 62,057 | 13,475 | 13,414 |
| Open-Domain | 58,528 | 12,541 | 12,541 |
## Citation
If you find these codes or data useful, please consider citing our paper as:
```
@misc{abdallah2024arabicaqa,
title={ArabicaQA: A Comprehensive Dataset for Arabic Question Answering},
author={Abdelrahman Abdallah and Mahmoud Kasem and Mahmoud Abdalla and Mohamed Mahmoud and Mohamed Elkasaby and Yasser Elbendary and Adam Jatowt},
year={2024},
eprint={2403.17848},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
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