Anatomy (Uberon)

该数据集采用了一种本体论，用于子sumption预测任务。它提供了用于评估深度学习嵌入模型在涉及复杂概念的子sumption预测任务上的基准。数据集按照训练集（80%）、验证集（10%）和测试集（10%）的比例进行了划分。该数据集的任务是进行子sumption预测。This dataset adopts an ontology for subsumption prediction tasks. It provides a benchmark for evaluating deep learning embedding models on subsumption prediction tasks involving complex concepts. The dataset is split into a training set (80%), a validation set (10%), and a test set (10%). The task of this dataset is subsumption prediction.