FIGER

该数据集是另一个用于评估具有预定义类型集的实体分类的基准数据集。它被用来展示GET模型相较于传统分类模型的优势。其规模根据数据集的具体规格而有所不同，所涉及的任务是实体分类。

This dataset is another benchmark dataset designed for evaluating entity classification tasks with a predefined set of entity types. It is employed to demonstrate the advantages of the GET model over traditional classification models. The size of this dataset varies based on its specific specifications, and the core task involved is entity classification.