{"url":"/dataset/a-dataset-for-relation-extraction-of-natural","name":"A Dataset for Relation Extraction of Natural-Products","full_name":"A curated evaluation dataset for end-to-end Relation Extraction of relationships between organisms and natural-products","description_markdown":"**A curated evaluation dataset for end-to-end Relation Extraction of relationships between organisms and natural-products.**\r\n\r\nDetails about the manual annotation:\r\n\r\n* For Chemicals:\r\n\r\n    - The chemical labels are annotated as they appear in the abstract.\r\n\r\n    - In abstracts, singular chemicals and classes of chemicals produced by a specific organism were distinguished.\r\n\r\n    - The \"type\" attribute {“chemical”, “class”} is used to indicate the nature of the mentioned name.\r\n\r\n    - A \"class\" attribute for chemical entities has also been included if class information is present in the abstract.\r\n\r\n    - A Wikidata and PubChem identifiers were assigned to chemicals and classes when available.\r\n\r\n* For Organisms:\r\n\r\n    - The organism labels are annotated as they appear in the abstract.\r\n\r\n    - If in an abstract, the genus name was mention first, e.g. \"Plakinastrella sp.\" and then the specie name e.g \"Plakinastrella clathrata\" is precise, then only the specie name is used.\r\n\r\n    - A Wikidata identifier was assigned to all organisms.\r\n\r\n    - In some abstracts, only the genus name is mentioned.\r\n\r\n* For Relations:\r\n\r\n    - Only the relations explicitly mentioned in the abstract are reported in the output labels.\r\n\r\n    - Relations are reported in their order of appearance in the abstract.","description_withheld":null,"homepage":"https://zenodo.org/records/8422007","introduced_date":"2023-11-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/relation-extraction-in-underexplored","title":"Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach","first_author":"Maxime Delmas","url":null},"license":{"name":"Creative Commons Attribution Share Alike 4.0 International","url":"https://creativecommons.org/licenses/by-sa/4.0/deed.en"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Biomedical","url":"/datasets/modality/biomedical"}],"tasks":[{"name":"Joint Entity and Relation Extraction","url":"/task/joint-entity-and-relation-extraction","datasets_with_task":"/datasets/task/joint-entity-and-relation-extraction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["A Dataset for Relation Extraction of Natural-Products"],"data_loaders":[],"num_papers_in_archive":1,"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":"2026-09-25T09:33:49+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."}