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We describe the design and use of the CREER dataset, a large corpus annotatedwith rich English grammar and semantic attributes. The CREER dataset uses theStanford CoreNLP Annotator to capture rich language structures from Wikipediaplain text. This dataset follows widely used linguistic and semanticannotations so that it can be used for not only most natural languageprocessing tasks but also scaling the dataset. This large supervised datasetcan serve as the basis for improving the performance of NLP tasks in thefuture. We publicize the dataset through the link:https://140.116.82.111/share.cgi?ssid=000dOJ4

CREER: A Large-Scale Corpus for Relation Extraction and Entity Recognition