The scarcity of Arabic test collections has long hindered information retrieval (IR) research over the Arabic Web. In this work, we present ArTest, the first large-scale test collection designed for the evaluation of ad-hoc search over the Arabic Web. ArTest uses ArabicWeb16, a collection of around 150M Arabic Web pages as the document collection, and includes 50 topics, 10,529 relevance judgments, and (more importantly) a rationale behind each judgment. To our knowledge, this is also the first IR test collection that includes rationales of primary assessors (i.e., topic developers) for their relevance judgments, exhibiting a useful resource for understanding the relevance phenomena. Finally, ArTest is made publicly-available for the research community.
CITATION STYLE
Hasanain, M., Barkallah, Y., Suwaileh, R., Kutlu, M., & Elsayed, T. (2020). ArTest: The First Test Collection for Arabic Web Search with Relevance Rationales. In SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2017–2020). Association for Computing Machinery, Inc. https://doi.org/10.1145/3397271.3401223
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