Pharmacogenomics datasets for Ontology Matching Pharmacogenomics (or PGx for short) involves n-ary tuples representing so-called "pharmacogenomic relationships" and their components of three distinct types: drugs, genetic factors, and phenotypes. Tuples are reified as instances of the class ``pgxo:PharmacogenomicRelationship``. The goal of the matching task is to match these tuples (instance matching). Motivation: Pharmacogenomic tuples involve drugs, genetic factors, and phenotypes, and state that patients being treated by the specified drugs while having the specified genetic factors may experience the given phenotypes. Knowledge in pharmacogenomics is scattered across several resources, e.g., reference databases (PharmGKB) or the biomedical literature. Hence, there is a need to build a consolidated view of the knowledge of this domain by aligning tuples from different sources. See [1] for a detailed motivation and [2] for a detailed task description. Datasets We provide different subsets of the alignments available in PGxLOD that have been created with the matching rules described in [3]. Task with 10 % of PGx relationships Alignments: 942 relatedMatch alignments: 83 sameAs alignments: 315 closeMatch alignments: 46 broadMatch alignments: 332 narrowMatch alignments: 166 Entities to align in source: 2523 Triples in source: 211770 Entities to align in target: 2520 Triples in target: 208051 Task with 50 % of PGx relationships Alignments: 23938 relatedMatch alignments: 1500 sameAs alignments: 8636 closeMatch alignments: 1128 broadMatch alignments: 8047 narrowMatch alignments: 4627 Entities to align in source: 12767 Triples in source: 459483 Entities to align in target: 12450 Triples in target: 450364 Task with 100 % of PGx relationships Alignments: 88569 relatedMatch alignments: 5318 sameAs alignments: 34510 closeMatch alignments: 3978 broadMatch alignments: 24097 narrowMatch alignments: 20666 Entities to align in source: 25362 Triples in source: 691151 Entities to align in target: 25073 Triples in target: 687052 References Pierre Monnin, Joël Legrand, Graziella Husson, Patrice Ringot, Andon Tchechmedjiev, Clément Jonquet, Amedeo Napoli, Adrien Coulet: PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison. BMC Bioinformatics 20-S(4): 139:1-139:16 (2019) [pdf] Pierre Monnin, Adrien Coulet: Matching pharmacogenomic knowledge: particularities, results, and perspectives. OM@ISWC 2022: 79-83 [pdf] Pierre Monnin, Miguel Couceiro, Amedeo Napoli, Adrien Coulet: Knowledge-Based Matching of n-ary Tuples. ICCS 2020: 48-56 [pdf]