CREER

CREER数据集是一个大规模的语料库，注释了丰富的英语语法和语义属性。该数据集使用Stanford CoreNLP Annotator从维基百科的纯文本中捕捉丰富的语言结构。它遵循广泛使用的语言学和语义注释，不仅适用于大多数自然语言处理任务，还适用于扩展数据集。这个大规模的监督数据集可以作为未来提高NLP任务性能的基础。

The CREER dataset is a large-scale corpus annotated with rich English grammatical and semantic attributes. It leverages the Stanford CoreNLP Annotator to capture rich linguistic structures from plain Wikipedia text. Following widely adopted linguistic and semantic annotation standards, it is applicable to most natural language processing tasks and also supports corpus expansion. This large-scale supervised dataset can serve as a foundational resource for improving the performance of NLP tasks in future research.