{"url":"/dataset/biolama","name":"BioLAMA","full_name":null,"description_markdown":"**BioLAMA** is a benchmark comprised of 49K biomedical factual knowledge triples for probing biomedical Language Models. It is used to assess the capabilities of Language Models for being valid biomedical knowledge bases.","description_withheld":null,"homepage":"https://github.com/dmis-lab/BioLAMA","introduced_date":"2021-09-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/can-language-models-be-biomedical-knowledge","title":"Can Language Models be Biomedical Knowledge Bases?","first_author":"Mujeen Sung","url":null},"license":null,"modalities":[{"name":"Biomedical","url":"/datasets/modality/biomedical"}],"tasks":[{"name":"Knowledge Probing","url":"/task/knowledge-probing","datasets_with_task":"/datasets/task/knowledge-probing"},{"name":"Probing Language Models","url":"/task/probing-language-models","datasets_with_task":"/datasets/task/probing-language-models"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["BioLAMA"],"data_loaders":[],"num_papers_in_archive":14,"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."}