{"url":"/dataset/umls-43","name":"UMLS-43","full_name":null,"description_markdown":"UMLS-43 is a variant of the UMLS knowledge graph that is robust to data leakage through inverse relations. It has been derived by removing three edge types that should be considered problematic by Dettmers' definition: 'degree_of', 'precedes', and 'derivative_of'. It is presented here* as a .tsv edgelist, such that each line represents one edge in the (head, relation, tail) format.\r\n\r\n\\* at https://github.com/oliver-lloyd/kge_param_sens","description_withheld":null,"homepage":"","introduced_date":"2022-07-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/assessing-the-effects-of-hyperparameters-on","title":"Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality","first_author":"Oliver Lloyd","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["UMLS-43"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}