R-Lite

该数据集是从DBpedia中提取的一个真实字面量集合，经过精心处理，去除了不存在的字面量，并通过与DBpedia本体相关的主体和真实类型扩展了属性-字面量对。为确保字面量及其关联类型的质量，该数据集经过多步骤的精细化处理。该任务的目的是实现字符串字面量到语义类型实体的自动规范化。This dataset comprises a collection of real literals extracted from DBpedia. It has been meticulously curated, with non-existent literals removed, and the property-literal pairs have been expanded with entities and their ground-truth types linked to the DBpedia ontology. To ensure the quality of both the literals and their associated types, this dataset has undergone multi-step fine-grained processing. The goal of this task is to perform automatic normalization of string literals to their corresponding semantic type entities.