Name: Arabic RC datasets
Description: Arabic Reading Comprehension Benchmarks Created Semiautomatically
Provider: PSUT
Paper Title: Arabic Reading Comprehension Benchmarks Created Semiautomatically
Tasks: question answering
Venue Name: International Arab Conference on Information Technology
Authors: Mariam Biltawi,A. Awajan,Sara Tedmori
Abstract: 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.