{"url":"/dataset/emrqa","name":"emrQA","full_name":null,"description_markdown":"emrQA has 1 million question-logical form and 400,000+ questionanswer evidence pairs.\r\n\r\nSource: [emrQA: A Large Corpus for Question Answering on Electronic Medical Records](https://arxiv.org/pdf/1809.00732.pdf)\r\nImage Source: [https://arxiv.org/pdf/1809.00732v1.pdf](https://arxiv.org/pdf/1809.00732v1.pdf)","description_withheld":null,"homepage":"https://github.com/panushri25/emrQA","introduced_date":"2018-09-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/emrqa-a-large-corpus-for-question-answering","title":"emrQA: A Large Corpus for Question Answering on Electronic Medical Records","first_author":"Anusri Pampari","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Language Modelling","url":"/task/language-modelling","datasets_with_task":"/datasets/task/language-modelling"},{"name":"Reading Comprehension","url":"/task/reading-comprehension","datasets_with_task":"/datasets/task/reading-comprehension"}],"languages":[],"variants":["emrQA"],"data_loaders":[{"repo":"https://github.com/panushri25/emrQA","url":"https://github.com/panushri25/emrQA","frameworks":[]}],"num_papers_in_archive":50,"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."}