Hierarchy-Transformers/FoodOn

该数据集是从FoodOn的子集层次结构（TBox）创建的混合跳预测数据集的集合，用于评估层次嵌入模型。数据集包含多种配置，如随机负样本和三重样本、硬负样本和三重样本等，每种配置都有训练、验证和测试集。数据集的结构遵循命名约定`TaskType-NegativeType-SampleStructure`，其中`TaskType`表示层次评估任务的类型，`NegativeType`表示负采样策略，`SampleStructure`表示样本的格式。数据集的使用方法包括评估和训练，评估时建议使用`Pairs`样本结构，训练时则根据模型设计和特定需求选择样本结构。

This dataset is a collection of Mixed-hop Prediction datasets created from FoodOns subsumption hierarchy (TBox) for evaluating hierarchy embedding models. The dataset includes various configurations such as random negatives and triplets, hard negatives and triplets, etc., each with training, validation, and test sets. The dataset structure follows the naming convention `TaskType-NegativeType-SampleStructure`, where `TaskType` indicates the type of hierarchy evaluation task, `NegativeType` specifies the strategy used for negative sampling, and `SampleStructure` indicates the format of the samples. The dataset usage includes evaluation and training, with `Pairs` sample structure recommended for evaluation and the choice of sample structure for training depending on the models design and specific requirements.