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--- |
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annotations_creators: |
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- crowdsourced |
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language_creators: |
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- crowdsourced |
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- found |
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license: mit |
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task_categories: |
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- question-answering |
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language: |
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- ar |
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pretty_name: abdoelsayed/Open-ArabicaQA |
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size_categories: |
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- 10K<n<100K |
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--- |
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# ArabicaQA |
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ArabicaQA: Comprehensive Dataset for Arabic Question Answering |
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This repository contains dataset for paper *ArabicaQA: Comprehensive Dataset for Arabic Question Answering*. Below, we provide details regarding the materials available in this repository: |
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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. |
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For more detail https://github.com/DataScienceUIBK/ArabicaQA/tree/main |
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## Dataset |
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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: |
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| | Training | Validation | Test | |
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| -------------------|----------|------------|--------| |
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| MRC (with answers) | 62,186 | 13,483 | 13,426 | |
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| MRC (unanswerable) | 2,596 | 561 | 544 | |
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| Open-Domain | 62,057 | 13,475 | 13,414 | |
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| Open-Domain | 58,528 | 12,541 | 12,541 | |
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## Citation |
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If you find these codes or data useful, please consider citing our paper as: |
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``` |
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@misc{abdallah2024arabicaqa, |
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title={ArabicaQA: A Comprehensive Dataset for Arabic Question Answering}, |
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author={Abdelrahman Abdallah and Mahmoud Kasem and Mahmoud Abdalla and Mohamed Mahmoud and Mohamed Elkasaby and Yasser Elbendary and Adam Jatowt}, |
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year={2024}, |
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eprint={2403.17848}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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