ReCoRD
Introduced by Zhang et al. in ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension
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].
Benchmarks
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ReCoRD
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Turing NLR v5 XXL 5.4B
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Papers
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