AQAD is the first of its kind in terms of size and quality. It consists of 17,911 questions (35% unanswerable questions, same ratio of unanswerable questions as SQuAD), extracted form 3,381 paragraphs, collected from 299 Wikipedia articles. In this section, we describe the AQAD automatic generator tool in details.
AQAD is a new Arabic reading comprehension large-sized high-quality dataset consisting of 17,000+ questions and answers. To collect the AQAD dataset, we present ...
AQAD is a new Arabic reading comprehension large-sized high-quality dataset consisting of 17,000+ questions and answers. To collect the AQAD dataset, we present ...
AQAD is a new Arabic reading comprehension large-sized high-quality dataset consisting of 17000+ questions and answers and a fully automated data collector ...
AQAD is a new Arabic reading comprehension large-sized high-quality dataset consisting of 17,000+ questions. To collect the AQAD dataset, we present a fully ...
Jan 29, 2021 · AQAD is a new Arabic reading comprehension large-sized high-quality dataset consisting of 17,000+ questions and answers. To collect the AQAD ...
In this paper, we tackle the problem of Arabic complex Ques- tion Answering (QA), where models are required to reason over multiple documents to find the answer ...
To tackle these challenges, this paper proposes a novel large-size high-quality Arabic MRC dataset that includes unanswerable questions, named “Arabic-SQuAD v2.
Mar 26, 2024 · AQAD: 17,000+ arabic questions for machine comprehension of text. In 2020 IEEE/ACS 17th International Conference on Computer Systems and ...
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
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Jul 14, 2024 · AQAD: 17,000+ Arabic Questions for Machine Comprehension of Text. November 2020. Adel Atef · Bassam Mattar ...