README.md

metadata

license: unknown
task_categories:
  - question-answering
language:
  - ar
tags:
  - multi-hop
  - Complex
  - Arabic
size_categories:
  - 10K<n<100K

Dataset Card for ACQAD

we propose a new approach to automatically generate a dataset for Arabic complex question answering task. The proposed approach is based on using an effective workflow with a set of templates. The generated dataset, denoted as ACQAD, contains more than 118k questions, covering both comparison and multi-hop types. Each question-answer pair is decomposed into a set of single-hop questions, allowing QA systems to reduce question complexity and explain the reasoning steps

Dataset Details

Dataset Description

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Source Data

Arabic Wikipedia

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Citation [optional]

BibTeX:

@inproceedings{sidhoum2022acqad, title={ACQAD: a dataset for arabic complex question answering}, author={Hamouda Sidhoum, Abdellah and Mataoui, M’hamed and Sebbak, Faouzi and Sma{"\i}li, Kamel}, booktitle={International conference on cyber security, artificial inteligence and theoretical computer science}, year={2022} }

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