This paper surveys 60 English Machine Reading Comprehension datasets, with a view to providing a convenient resource for other researchers interested in this problem. We categorize the datasets according to their question and answer form and compare them across various dimensions including size, vocabulary, data source, method of creation, human performance level, and first question word. Our analysis reveals that Wikipedia is by far the most common data source and that there is a relative lack of why, when, and where questions across datasets.
Science Foundation Ireland in the ADAPT Centre for Digital Content Technology, SFI Research Centres Programme (Grant 13/RC/2106), European Regional Development Fund
ID Code:
29145
Deposited On:
19 Oct 2023 13:35 by
Jennifer Foster
. Last Modified 19 Oct 2023 13:35