CLJan 25, 2021

English Machine Reading Comprehension Datasets: A Survey

arXiv:2101.10421v2669 citations
Originality Synthesis-oriented
AI Analysis

This provides a convenient resource for researchers in machine reading comprehension, but it is incremental as it compiles existing datasets without introducing new methods or data.

The paper surveys 60 English Machine Reading Comprehension datasets, categorizing them by question and answer forms and comparing dimensions like size and data source, revealing that Wikipedia is the most common source and there is a lack of why, when, and where questions.

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.

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