Arabic RC datasets
Arabic Reading Comprehension Benchmarks Created Semiautomatically
PSUT
Arabic Reading Comprehension Benchmarks Created Semiautomatically
question answering
International Arab Conference on Information Technology
Mariam Biltawi,A. Awajan,Sara Tedmori
Reading comprehension is the task of answering questions from paragraphs; it is also considered a subtask of question-answering systems. Although Arabic language is a language spoken by more than 330 million native speakers, it lacks the required resources, which are needed by the Arabic reading comprehension task to serve as a benchmark dataset. The goal of this work is to present the phases of creating Arabic reading comprehension benchmark dataset semiautomatically. The phases include; data collection, manual check, Google search, document retrieval, and paragraph retrieval. The paper also conducts a thorough evaluation for the created datasets.