Datasets › DiaKG

DiaKG

Introduced by Dejie Chang et al. in DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction31 May 2021 archive 2025-07-28

DiaKG is a high-quality Chinese dataset for Diabetes knowledge graph.

The dataset is derived from 41 diabetes guidelines and consensus, which are from authoritative Chinese journals including basic research, clinical research, drug usage, clinical cases, diagnosis and treatment methods, etc. The dataset covers the most extensive field of research content and hotspot in recent years. All the annotators have a medical background, and finally conduct a high-quality diabetes database which contains 22,050 entities and 6,890 relations in total. Based on this dataset, doctors, researchers, and enterprise developers can develop knowledge bases for clinical diagnosis, knowledge graphs, and auxiliary diagnostics to further explore the mysteries of diabetes.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • DiaKG

1 variant name, as the archive lists them.

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