Maluuba NewsQA Machine Reading Comprehension Dataset

Maluuba News QA is a dataset for machine reading comprehension, which includes developing algorithms that can answer human questions and reasoning questions. The dataset contains 120,000 question-answer pairs, all written in human natural language.

The Maluuba News QA dataset was released by Microsoft in 2016, and the related paper is "NewsQA: A Machine Comprehension Dataset".