{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/cure-clinical-understanding-retrieval","title":"CURE: A dataset for Clinical Understanding & Retrieval Evaluation","arxiv_id":"2412.06954","date":"2024-12-09","proceeding":null,"authors":["Nadia Sheikh","Anne-Laure Jousse","Daniel Buades Marcos","Akintunde Oladipo","Olivier Rousseau","Jimmy Lin"],"abstract":"Given the dominance of dense retrievers that do not generalize well beyond their training dataset distributions, domain-specific test sets are essential in evaluating retrieval. There are few test datasets for retrieval systems intended for use by healthcare providers in a point-of-care setting. To fill this gap we have collaborated with medical professionals to create CURE, an ad-hoc retrieval test dataset for passage ranking with 2000 queries spanning 10 medical domains with a monolingual (English) and two cross-lingual (French/Spanish -> English) conditions. In this paper, we describe how CURE was constructed and provide baseline results to showcase its effectiveness as an evaluation tool. CURE is published with a Creative Commons Attribution Non Commercial 4.0 license and can be accessed on Hugging Face.","url_abs":"https://arxiv.org/abs/2412.06954v3","url_pdf":"https://arxiv.org/pdf/2412.06954v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"cure-clinical-understanding-retrieval","repo_url":"https://github.com/embeddings-benchmark/mteb/blob/main/mteb/tasks/Retrieval/multilingual/CUREv1Retrieval.py","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"passage-ranking","task_name":"Passage Ranking"},{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[{"method_slug":"non","method_name":"NON"}],"datasets_introduced":[{"slug":"cure","name":"CURE","full_name":"A dataset for Clinical Understanding & Retrieval Evaluation"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}