CheckThat-AR
check-worthiness datasets
nan
Overview of CheckThat! 2020 Arabic:
claim verification
Conference and Labs of the Evaluation Forum
Maram Hasanain,Fatima Haouari,Reem Suwaileh,Zien Sheikh Ali,Bayan Hamdan,Tamer Elsayed,Alberto Barrón-Cedeño,Giovanni Da San Martino,Preslav Nakov
In this paper, we make freely accessible ANETAC1 our English-Arabic named entity transliteration and
classification dataset that we built from freely available parallel translation corpora. The dataset contains
79, 924 instances, each instance is a triplet (e, a, c), where e is the English named entity, a is its Arabic
transliteration and c is its class that can be either a Person, a Location, or an Organization. The ANETAC
dataset is mainly aimed for the researchers that are working on Arabic named entity transliteration, but it can
also be used for named entity classification purposes. This dataset was developed and used as part of a previous
research study done by Hadj Ameur et al.