{"url":"/dataset/dbp15k","name":"DBP15K","full_name":"DBP15K","description_markdown":"DBP15k contains four language-specific KGs that are respectively extracted from English (En), Chinese (Zh), French (Fr) and Japanese (Ja) DBpedia, each of which contains around 65k-106k entities. Three sets of 15k alignment labels are constructed to align entities between each of the other three languages and En.\r\n\r\nSource: [Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text](https://arxiv.org/abs/2005.00171)","description_withheld":null,"homepage":"https://github.com/nju-websoft/JAPE","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/cross-lingual-entity-alignment-via-joint","title":"Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding","first_author":"Zequn Sun","url":null},"license":{"name":"Unknown","url":null},"modalities":[],"tasks":[{"name":"Knowledge Graphs","url":"/task/knowledge-graphs","datasets_with_task":"/datasets/task/knowledge-graphs"},{"name":"Entity Alignment","url":"/task/entity-alignment","datasets_with_task":"/datasets/task/entity-alignment"},{"name":"Multi-modal Entity Alignment","url":"/task/multi-modal-entity-alignment","datasets_with_task":"/datasets/task/multi-modal-entity-alignment"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"French","url":"/datasets/language/french"},{"name":"Chinese","url":"/datasets/language/chinese"},{"name":"Japanese","url":"/datasets/language/japanese"}],"variants":["DBP15k zh-en","dbp15k fr-en","dbp15k ja-en","DBP15K","UMVM"],"data_loaders":[{"repo":"https://github.com/rusty1s/pytorch_geometric","url":"https://pytorch-geometric.readthedocs.io/en/latest/modules/datasets.html","frameworks":["pytorch"]}],"num_papers_in_archive":65,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/entity-alignment-on-dbp15k-zh-en","task":"Entity Alignment","dataset_variant":"DBP15k zh-en","rows":38,"metrics":["Hits@1"],"first_row_in_archive_order":{"model":"MEAformer","paper":"/paper/meaformer-multi-modal-entity-alignment","metrics":{"Hits@1":"0.973"},"code_links":[{"title":"zjukg/MEAformer","url":"https://github.com/zjukg/MEAformer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/entity-alignment-on-dbp15k-fr-en","task":"Entity Alignment","dataset_variant":"dbp15k fr-en","rows":14,"metrics":["Hits@1"],"first_row_in_archive_order":{"model":"MEAformer","paper":"/paper/meaformer-multi-modal-entity-alignment","metrics":{"Hits@1":"0.996"},"code_links":[{"title":"zjukg/MEAformer","url":"https://github.com/zjukg/MEAformer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/entity-alignment-on-dbp15k-ja-en","task":"Entity Alignment","dataset_variant":"dbp15k ja-en","rows":14,"metrics":["Hits@1"],"first_row_in_archive_order":{"model":"MEAformer","paper":"/paper/meaformer-multi-modal-entity-alignment","metrics":{"Hits@1":"0.991"},"code_links":[{"title":"zjukg/MEAformer","url":"https://github.com/zjukg/MEAformer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/rethinking-uncertainly-missing-and-ambiguous","title":"Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment","date":"2023-07-30","rows_on_this_dataset":6,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":14,"samples_ran":12,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/meaformer-multi-modal-entity-alignment","title":"MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid","date":"2022-12-29","rows_on_this_dataset":18,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":13,"samples_ran":11,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/from-alignment-to-assignment-frustratingly","title":"From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment","date":"2021-09-06","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/are-negative-samples-necessary-in-entity","title":"Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness","date":"2021-08-11","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/boosting-the-speed-of-entity-alignment-10","title":"Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining","date":"2021-03-29","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/entity-alignment-for-knowledge-graphs-with","title":"Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks","date":"2020-11-17","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/a-critical-assessment-of-state-of-the-art-in","title":"A Critical Assessment of State-of-the-Art in Entity Alignment","date":"2020-10-30","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/knowledge-association-with-hyperbolic","title":"Knowledge Association with Hyperbolic Knowledge Graph Embeddings","date":"2020-10-05","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/visual-pivoting-for-unsupervised-entity","title":"Visual Pivoting for (Unsupervised) Entity Alignment","date":"2020-09-28","rows_on_this_dataset":3,"code_links":2,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":9,"samples_ran":3,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/relational-reflection-entity-alignment","title":"Relational Reflection Entity Alignment","date":"2020-08-18","rows_on_this_dataset":2,"code_links":2,"syntology":null},{"paper":"/paper/cross-lingual-entity-alignment-for-knowledge","title":"Cross-lingual Entity Alignment with Incidental Supervision","date":"2020-05-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/mraea-an-efficient-and-robust-entity","title":"MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph","date":"2020-02-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/deep-graph-matching-consensus-1","title":"Deep Graph Matching Consensus","date":"2020-01-27","rows_on_this_dataset":7,"code_links":2,"syntology":null},{"paper":"/paper/knowledge-graph-alignment-network-with-gated","title":"Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation","date":"2019-11-20","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":16,"samples_ran":0,"samples_unverified":16,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/knowledge-graph-entity-alignment-with-graph","title":"Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned","date":"2019-11-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/jointly-learning-entity-and-relation","title":"Jointly Learning Entity and Relation Representations for Entity Alignment","date":"2019-09-20","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/multi-channel-graph-neural-network-for-entity-1","title":"Multi-Channel Graph Neural Network for Entity Alignment","date":"2019-08-26","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/relation-aware-entity-alignment-for","title":"Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs","date":"2019-08-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multilingual-knowledge-graph-embeddings-for","title":"Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment","date":"2016-11-12","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":5,"samples_harvested":53,"samples_ran":26,"samples_unverified":27,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":2,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}