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Entity Typing Datasets

<p>These are the datasets used in the Entity Type Prediction task for Knowledge Graph Completion.</p> <ul> <li><strong>DB630k_Fine-grained_Hierarchical.zip</strong>&nbsp;dataset has been used in the papers [1] and [2]. It is an extended version of DBpedia630k dataset originally created for Text classification and is available <a href="http://shorturl.at/oDPW6">here</a>.</li> <li><strong>FIGER.zip</strong> dataset has also been used in the papers [1] and [2].</li> <li><strong>MultilingualETdata.zip</strong> dataset has been used in the paper [3]</li> <li><strong>NamesETdata.zip</strong> dataset has been used in the paper [4]. The CaLiGraph test dataset can also be downloaded&nbsp;<a href="https://data.dws.informatik.uni-mannheim.de/CaLiGraph/whats-in-a-name/">here</a>.</li> </ul> <p>&nbsp;</p> <p>[1] Biswas R, Sofronova R, Sack H, Alam M. Cat2type: Wikipedia category embeddings for entity typing in knowledge graphs. InProceedings of the 11th on Knowledge Capture Conference 2021 Dec 2 (pp. 81-88).</p> <p>[2]&nbsp;Biswas R, Portisch J, Paulheim H, Sack H, Alam M. Entity type prediction leveraging graph walks and entity descriptions. In The Semantic Web&ndash;ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23&ndash;27, 2022, Proceedings 2022 Oct 16 (pp. 392-410). Cham: Springer International Publishing.</p> <p>[3]&nbsp;Biswas R, Chen Y, Paulheim H, Sack H, Alam M. It&rsquo;s All in the Name: Entity Typing Using Multilingual Language Models. In The Semantic Web: ESWC 2022 Satellite Events: Hersonissos, Crete, Greece, May 29&ndash;June 2, 2022, Proceedings 2022 Jul 20 (pp. 36-41). Cham: Springer International Publishing.</p> <p>[4]&nbsp;Biswas R, Sofronova R, Alam M, Heist N, Paulheim H, Sack H. Do judge an entity by its name! entity typing using language models. In The Semantic Web: ESWC 2021 Satellite Events: Virtual Event, June 6&ndash;10, 2021, Revised Selected Papers 18 2021 (pp. 65-70). Springer International Publishing.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Topics

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