Question Answering Datasets

Question answering is a natural language processing task that answers questions based on a given context. This is an important task in natural language processing that is used in many applications, such as search, customer support, and chatbots.

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The NQ-Open task, introduced by Lee 2019, is an open domain question answering benchmark that is derived from Natural Questions. The goal is to predict an English answer string for an input English question. All questions can be answered using the contents of English Wikipedia.