Table 2.

Benchmark corpora for biomedical entity relation detection.

Corpus	References	Relation type	Data content	Description
CHR	Sahu et al., 2019	Chemical-chemical interactions	12,094 PubMed Abstracts and Titles	Chemical Relations database (National Center for Text Mining)
BioInfer	Pyysalo et al., 2007	Gene, RNA, Protein, relations	1100 Sentences	Bio Information Extraction Resource
GE	Kim et al., 2009	Gene and Gene Product Associations	15 Annotated PubMed Articles	Genia Event Extraction Corpus
EU-ADR	Van Mulligen et al., 2012	Diseases, Drugs and Drug Target relations	300 Abstracts 100 for each Entity	European Union - Adverse Drug Reaction Project affiliated
ChEBI	Shardlow et al., 2018	Relations between Chemicals, Proteins, Species, Biological Activity	199 abstracts 100 full papers annotated	Chemical Entities of Biological Interest
BC-II: PPI Corpus	Krallinger et al., 2008	Protein-Protein Interactions	3,536+338 (TR+TE) Related Entries 1,959+339 (TR+TE) Non-Related Entries	BioCreative II - PPI task Corpora
BC-II.5: Elsevier Corpus	Leitner et al., 2010	Protein-Protein Interactions	1190 Articles 124 - PPI positive 1066 - unrelated	BioCreative II.5 Special Corpus provided by Elsevier
BC-V: CDR	Li et al., 2016a	Chemical-Disease relations	1500 PubMed Articles 3116 interactions	BioCreative V - Chemicals and Disease Corpus
BC-VI: ChemProt Corpus	Krallinger et al., 2017	Chemical-Protein interaction	1020+800 (TR+TE) Abstracts	Training/Testing article Corpus for the BioCreative V Task
AIMed Corpus	Bunescu et al., 2005	Protein-Protein interactions	225 Abstracts 200- PPI positive 25- unrelated	Human annotated Corpus for Training to Identify relations

These data sets contain labeled data that can be used for the training and testing of methods.