{"url":"/dataset/med-easi","name":"Med-EASi","full_name":null,"description_markdown":"Med-EASi (Medical dataset for Elaborative and Abstractive Simplification), a uniquely crowdsourced and finely annotated dataset for supervised simplification of short medical texts. It contains 1979 expert-simple text pairs in medical domain, spanning a total of 4478 UMLS concepts across all text pairs. The dataset is annotated with four textual transformations: replacement, elaboration, insertion and deletion.","description_withheld":null,"homepage":"","introduced_date":"2023-02-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/med-easi-finely-annotated-dataset-and-models","title":"Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts","first_author":"Chandrayee Basu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Text Simplification","url":"/task/text-simplification","datasets_with_task":"/datasets/task/text-simplification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Med-EASi"],"data_loaders":[],"num_papers_in_archive":4,"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."}