TITLE: A Benchmark Arabic Dataset for Commonsense Explanation 

ABSTRACT: Language comprehension and commonsense knowledge validation by machines are
challenging tasks that are still under researched and evaluated for Arabic
text. In this paper, we present a benchmark Arabic dataset for commonsense
explanation. The dataset consists of Arabic sentences that does not make sense
along with three choices to select among them the one that explains why the
sentence is false. Furthermore, this paper presents baseline results to assist
and encourage the future evaluation of research in this field. The dataset is
distributed under the Creative Commons CC-BY-SA 4.0 license and can be found on
GitHub
Language comprehension and commonsense knowledge validation by machines are
challenging tasks that are still under researched and evaluated for Arabic
text. In this paper, we present a benchmark Arabic dataset for commonsense
explanation. The dataset consists of Arabic sentences that does not make sense
along with three choices to select among them the one that explains why the
sentence is false. Furthermore, this paper presents baseline results to assist
and encourage the future evaluation of research in this field. The dataset is
distributed under the Creative Commons CC-BY-SA 4.0 license and can be found on
GitHub
A Benchmark Arabic Dataset for Commonsense Explanation
http://arxiv.org/abs/2012.10251v1