QUASAR-S (QUestion Answering by Search And Reading – Stack Overflow)
Introduced by Dhingra et al. in Quasar: Datasets for Question Answering by Search and Reading
QUASAR-S is a large-scale dataset aimed at evaluating systems designed to comprehend a natural language query and extract its answer from a large corpus of text. It consists of 37,362 cloze-style (fill-in-the-gap) queries constructed from definitions of software entity tags on the popular website Stack Overflow. The posts and comments on the website serve as the background corpus for answering the cloze questions. The answer to each question is restricted to be another software entity, from an output vocabulary of 4874 entities.
Source: Quasar: Datasets for Question Answering by Search and ReadingPapers
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