{"url":"/dataset/medsecid","name":"MedSecId","full_name":null,"description_markdown":"The process by which sections in a document are demarcated and labeled is known as section identification. Such sections are helpful to the reader when searching for information and contextualizing specific topics. The goal of this work is to segment the sections of clinical medical domain documentation. The primary contribution of this work is MedSecId, a publicly available set of 2,002 fully annotated medical notes from the MIMIC-III. We include several baselines, source code, a pretrained model and analysis of the data showing a relationship between medical concepts across sections using principal component analysis.","description_withheld":null,"homepage":"https://aclanthology.org/2022.coling-1.326/","introduced_date":"2022-10-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-new-public-corpus-for-clinical-section","title":"A New Public Corpus for Clinical Section Identification: MedSecId","first_author":"Paul Landes","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Clinical Section Identification","url":"/task/clinical-section-identification","datasets_with_task":"/datasets/task/clinical-section-identification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MedSecId"],"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/classification-on-medsecid","task":"Classification","dataset_variant":"MedSecId","rows":2,"metrics":["1 shot Micro-F1"],"first_row_in_archive_order":{"model":"GPT-4","paper":"/paper/llm-based-section-identifiers-excel-on-open","metrics":{"1 shot Micro-F1":"96.86"},"code_links":[{"title":"inqbator-evicore/llm_section_identifiers","url":"https://github.com/inqbator-evicore/llm_section_identifiers"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/clinical-section-identification-on-medsecid","task":"Clinical Section Identification","dataset_variant":"MedSecId","rows":2,"metrics":["1 shot Micro-F1"],"first_row_in_archive_order":{"model":"GPT-4","paper":"/paper/llm-based-section-identifiers-excel-on-open","metrics":{"1 shot Micro-F1":"96.24"},"code_links":[{"title":"inqbator-evicore/llm_section_identifiers","url":"https://github.com/inqbator-evicore/llm_section_identifiers"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/llm-based-section-identifiers-excel-on-open","title":"LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications","date":"2024-04-25","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/a-new-public-corpus-for-clinical-section","title":"A New Public Corpus for Clinical Section Identification: MedSecId","date":"2022-10-01","rows_on_this_dataset":2,"code_links":1,"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."}