Table 1.
Chinese medical text datasets.
| Dataset Name | Data Volume | Data Tags | Data Type |
|---|---|---|---|
| CMeEE [50] | 23,000 | 9 types of entities | Chinese medical text named entity recognition |
| CMelE [50] | 22,406 | 53 types of relations | Chinese medical text entity relationship extraction |
| CMedCausal [51] | 3000 | 3 types of relations | Medical causality relationship extraction |
| CHIP-CDEE [51] | 2485 | 4 types of attributes | Clinical discovery event extraction |
| CHIP-CDN [50] | 18,000 | 2500 standardized | Clinical terminology normalization |
| CHIP-CTC [50] | 40,644 | 44 categories | Clinical trial screening criteria short text classification |
| CHIP-MEDFNPC [52] | 8000 | 4 types of attributes | Medical dialogue clinical findings polarity determination |
| CHIP-STS [50] | 30,000 | 2 categories | Ping An Healthcare and Technology Disease Q&A transfer learning |
| KUAKE-IR [53] | 104,000 | 10 relevant data items | Medical paragraph retrieval |
| KUAKE-QLC [54] | 10,880 | 11 categories | Medical search query intent classification |
| KUAKE-QTR [52] | 32,552 | 4 categories | Medical search page title relevance |
| KUAKE-QQR [52] | 18,196 | 3 categories | Medical search query relevance |
| MedDG [55] | 22,162 | 160 types of entities | Chinese medical dialogue |
| DiaKG [56] | 22,050 entities, 6890 relation triples | 15 types of entities, 10 types of relations | Diabetes domain entities and relations |
| IMCS [57] | 4116 | 16 types of intents, 5 types of entities, 3 types of symptoms | Intelligent dialogue diagnosis and treatment |
| TCMRelExtr [58] | 16,150 summaries | 4 types of entities, 5 types of relations | Traditional Chinese medicine entity and relationship corpus |