DEFT Corpus

该数据集是一个用于评估命名实体识别模型性能的语料库，其特点在于包含的标记数量超过了其他语料库。此外，由于该语料库的规模较大，模型在训练和测试过程中产生的碳排放量也相对较高。尽管具体规模未提及，但可以确定这是一个大型数据集，其任务专注于临床命名实体识别。

This dataset is a corpus designed for evaluating the performance of named entity recognition (NER) models. It is characterized by a larger number of tokens than other existing corpora. Furthermore, due to its large scale, the carbon emissions generated during the model's training and testing processes are relatively high. Although its exact scale is not specified, it is confirmed to be a large-scale dataset focused on clinical named entity recognition.