{"url":"/dataset/discq","name":"DiSCQ","full_name":"Discharge Summary Clinical Questions","description_markdown":"**DiSCQ** is a newly curated question dataset composed of 2,000+ questions paired with the snippets of text (triggers) that prompted each question. The questions are generated by medical experts from 100+ MIMIC-III discharge summaries. This dataset is released to facilitate further research into realistic clinical Question Answering (QA) and Question Generation (QG).\r\n\r\nSource: [Learning to Ask Like a Physician](https://arxiv.org/pdf/2206.02696.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2206.02696.pdf](https://arxiv.org/pdf/2206.02696.pdf)","description_withheld":null,"homepage":"https://physionet.org/content/discq/1.0/","introduced_date":"2022-06-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-ask-like-a-physician","title":"Learning to Ask Like a Physician","first_author":"Eric Lehman","url":null},"license":{"name":"PhysioNet Credentialed Health Data License 1.5.0","url":"https://physionet.org/content/discq/view-license/1.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Retrieval","url":"/task/retrieval","datasets_with_task":"/datasets/task/retrieval"},{"name":"Question Generation","url":"/task/question-generation","datasets_with_task":"/datasets/task/question-generation"}],"languages":[],"variants":["DiSCQ"],"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."}