DBpedia1M is a dataset for entity alignment in large-scale knowledge graphs, proposed by the CIKM-2022 paper "Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding".
DBP2.0 is a dataset for entity alignment with dangling cases, proposed by the ACL-2021 paper "Knowing the No-match: Entity Alignment with Dangling Cases".