  We present Persian Question Answering Dataset (PQuAD), a crowdsourced reading
comprehension dataset on Persian Wikipedia articles. It includes 80,000
questions along with their answers, with 25% of the questions being
adversarially unanswerable. We examine various properties of the dataset to
show the diversity and the level of its difficulty as an MRC benchmark. By
releasing this dataset, we aim to ease research on Persian reading
comprehension and development of Persian question answering systems. Our
experiments on different state-of-the-art pre-trained contextualized language
models show 74.8% Exact Match (EM) and 87.6% F1-score that can be used as the
baseline results for further research on Persian QA.
