{"url":"/dataset/mimic-sparql","name":"MIMIC-SPARQL","full_name":null,"description_markdown":"Question Answering (QA) is a widely-used framework for developing and evaluating an intelligent\r\nmachine. In this light, QA on Electronic Health Records (EHR), namely EHR QA, can work as\r\na crucial milestone toward developing an intelligent agent in healthcare. EHR data are typically\r\nstored in a relational database, which can also be converted to a directed acyclic graph, allowing two\r\napproaches for EHR QA: Table-based QA and Knowledge Graph-based QA.\r\n\r\nMIMIC-SPARQL dataset provides  graph-based EHR QA data where natural language queries are converted\r\nto SPARQL instead of SQL","description_withheld":null,"homepage":"https://github.com/junwoopark92/mimic-sparql","introduced_date":"2020-10-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/knowledge-graph-based-question-answering-with","title":"Knowledge Graph-based Question Answering with Electronic Health Records","first_author":"Junwoo Park","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Graphs","url":"/datasets/modality/graphs"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Semantic Parsing","url":"/task/semantic-parsing","datasets_with_task":"/datasets/task/semantic-parsing"},{"name":"Graph Learning","url":"/task/graph-learning","datasets_with_task":"/datasets/task/graph-learning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MIMIC-SPARQL"],"data_loaders":[{"repo":"https://github.com/junwoopark92/mimic-sparql","url":"https://github.com/junwoopark92/mimic-sparql","frameworks":["pytorch"]}],"num_papers_in_archive":3,"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."}