{"url":"/dataset/chemdisgene","name":"ChemDisGene","full_name":null,"description_markdown":"ChemDisGene, a new dataset for training and evaluating multi-class multi-label biomedical relation extraction models.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Document-level RE with incomplete labeling","url":"/task/document-level-re-with-incomplete-labeling","datasets_with_task":"/datasets/task/document-level-re-with-incomplete-labeling"}],"languages":[],"variants":["ChemDisGene"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/document-level-re-with-incomplete-labeling-on-2","task":"Document-level RE with incomplete labeling","dataset_variant":"ChemDisGene","rows":3,"metrics":["F1"],"first_row_in_archive_order":{"model":"TTM-RE","paper":"/paper/ttm-re-memory-augmented-document-level","metrics":{"F1":"53.59"},"code_links":[{"title":"chufangao/ttm-re","url":"https://github.com/chufangao/ttm-re"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/ttm-re-memory-augmented-document-level","title":"TTM-RE: Memory-Augmented Document-Level Relation Extraction","date":"2024-06-09","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":3,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a-unified-positive-unlabeled-learning","title":"A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling","date":"2022-10-17","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":5,"samples_ran":3,"samples_unverified":2,"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."}