{"url":"/dataset/pubmed-pico-element-detection-dataset","name":"PubMed PICO Element Detection Dataset","full_name":null,"description_markdown":"PICO is a framework to formulate a well-defined focused clinical question. This framework identifies the sentences in a given medical text that belong to the four components: Participants/Problem (P), Intervention (I), Comparison (C) and Outcome (O). The PubMed PICO Element Detection dataset is a dataset for evaluating models that automatically detect PICO elements.\n\nSource: [https://github.com/jind11/PubMed-PICO-Detection](https://github.com/jind11/PubMed-PICO-Detection)","description_withheld":null,"homepage":"https://github.com/jind11/PubMed-PICO-Detection","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/pico-element-detection-in-medical-text-via","title":"PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks","first_author":"Di Jin","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Decision Making","url":"/task/decision-making","datasets_with_task":"/datasets/task/decision-making"}],"languages":[],"variants":["PubMed PICO Element Detection Dataset"],"data_loaders":[{"repo":"https://github.com/jind11/PubMed-PICO-Detection","url":"https://github.com/jind11/PubMed-PICO-Detection","frameworks":[]}],"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."}