S-DBpedia: A benchmark dataset and evaluation for spatial knowledge graph completion

A benchmark for Spatial Knowledge Graph Completion (SKGC) extracted from DBpedia. It can be used to evaluate Spatial Knowledge Graph Embedding or Completion methods. The S-DBpedia baseline dataset contains two types of datasets. Data scale: S-DBpedia_small, S-DBpedia_medium, S-DBpedia_large, S-DBpedia. Data Sparsity: S-DBpedia_GT5E, S-DBpedia_GT10E, S-DBpedia_GT20E, S-DBpedia_GT50E. We extracted all attributes of entities in the dataset from DBpedia. It contains text, numerical, and image information. The data here includes the dataset file (dataset name) and all attribute files of the entity (Attribute.tar.gz). For the construction code, evaluation and detailed usage instructions of the dataset, please see https://github.com/NEU-IDKE/S-DBpedia.