ReCoRD Dataset

Reading Comprehension with Commonsense Reasoning Dataset (ReCoRD) is a large-scale reading comprehension dataset which requires commonsense reasoning. ReCoRD consists of queries automatically generated from CNN/Daily Mail news articles; the answer to each query is a text span from a summarizing passage of the corresponding news. The goal of ReCoRD is to evaluate a machine's ability of commonsense reasoning in reading comprehension. ReCoRD is pronounced as [ˈrɛkərd].

《基于常识推理的阅读理解数据集》（ReCoRD）乃一项大规模的阅读理解数据集，其要求机器具备常识推理能力。ReCoRD由从CNN/Daily Mail新闻文章中自动生成的查询构成；每个查询的答案均源自对应新闻摘要段落中的文本片段。ReCoRD旨在评估机器在阅读理解中运用常识推理的能力。ReCoRD的发音为[ˈrɛkərd]。