Published March 1, 2023 | Version 1

Entity Typing Datasets

Authors/Creators

  • 1. FIZ-Karlsruhe, Karlsruhe Institute of Technology, AIFB

Description

These are the datasets used in the Entity Type Prediction task for Knowledge Graph Completion.

  • DB630k_Fine-grained_Hierarchical.zip 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 here.
  • FIGER.zip dataset has also been used in the papers [1] and [2].
  • MultilingualETdata.zip dataset has been used in the paper [3]
  • NamesETdata.zip dataset has been used in the paper [4]. The CaLiGraph test dataset can also be downloaded here.

 

[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).

[2] Biswas R, Portisch J, Paulheim H, Sack H, Alam M. Entity type prediction leveraging graph walks and entity descriptions. In The Semantic Web–ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23–27, 2022, Proceedings 2022 Oct 16 (pp. 392-410). Cham: Springer International Publishing.

[3] Biswas R, Chen Y, Paulheim H, Sack H, Alam M. It’s All in the Name: Entity Typing Using Multilingual Language Models. In The Semantic Web: ESWC 2022 Satellite Events: Hersonissos, Crete, Greece, May 29–June 2, 2022, Proceedings 2022 Jul 20 (pp. 36-41). Cham: Springer International Publishing.

[4] 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 6–10, 2021, Revised Selected Papers 18 2021 (pp. 65-70). Springer International Publishing.

 

 

 

Files

DB630k_Fine-grained_Hierarchical.zip

Files (62.0 MB)

Name Size Download all
md5:38b9bf5b6b1e3c5a2a59ece4197ff05b
41.7 MB Preview Download
md5:28461b9536f590cff3e9ae9f6358e7c7
3.9 MB Preview Download
md5:eb2a1fb228995f1df05cc220491227ed
9.9 MB Preview Download
md5:c412fc3978eff1cbfe9315d2f063bc04
6.5 MB Preview Download