{"url":"/dataset/eisen-funcat","name":"Eisen Funcat","full_name":null,"description_markdown":"Hierarchical-multilabel classification dataset for functional genomics","description_withheld":null,"homepage":"https://dtai.cs.kuleuven.be/clus/hmcdatasets/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Hierarchical Multi-label Classification","url":"/task/hierarchical-multi-label-classification","datasets_with_task":"/datasets/task/hierarchical-multi-label-classification"}],"languages":[],"variants":["Eisen Funcat"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/hierarchical-multi-label-classification-on-2","task":"Hierarchical Multi-label Classification","dataset_variant":"Eisen Funcat","rows":2,"metrics":["AU(PRC)"],"first_row_in_archive_order":{"model":"C-HMCNN","paper":"/paper/coherent-hierarchical-multi-label","metrics":{"AU(PRC)":"0.306"},"code_links":[{"title":"EGiunchiglia/C-HMCNN","url":"https://github.com/EGiunchiglia/C-HMCNN"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/coherent-hierarchical-multi-label","title":"Coherent Hierarchical Multi-Label Classification Networks","date":"2020-10-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/hierarchical-multi-label-classification","title":"Hierarchical Multi-Label Classification Networks","date":"2018-07-01","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"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."}