metadata

language:
  - en
bigbio_language:
  - English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: MQP
homepage: https://github.com/curai/medical-question-pair-dataset
bigbio_pubmed: false
bigbio_public: true
bigbio_tasks:
  - SEMANTIC_SIMILARITY

Dataset Card for MQP

Dataset Description

Homepage: https://github.com/curai/medical-question-pair-dataset
Pubmed: False
Public: True
Tasks: STS

Medical Question Pairs dataset by McCreery et al (2020) contains pairs of medical questions and paraphrased versions of the question prepared by medical professional. Paraphrased versions were labelled as similar (syntactically dissimilar but contextually similar ) or dissimilar (syntactically may look similar but contextually dissimilar). Labels 1: similar, 0: dissimilar

Citation Information

@article{DBLP:journals/biodb/LiSJSWLDMWL16,
  author    = {Krallinger, M., Rabal, O., Lourenço, A.},
  title     = {Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs},
  journal   = {KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining},
  volume    = {3458–3465},
  year      = {2020},
  url       = {https://github.com/curai/medical-question-pair-dataset},
  doi       = {},
  biburl    = {},
  bibsource = {}
}