

# 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 = {}
}

```

multilinguality:monolingual language:en license:unknown region:us
{"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "MQP", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://github.com/curai/medical-question-pair-dataset", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["SEMANTIC_SIMILARITY"]}
TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us 



# Dataset Card for MQP

## Dataset Description

- Homepage: URL
- 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







# Dataset Card for MQP ## Dataset Description

- Homepage: URL
- 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
TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us 
 # Dataset Card for MQP ## Dataset Description

- Homepage: URL
- 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
passage: TAGS
#multilinguality-monolingual #language-English #license-unknown #region-us 
# Dataset Card for MQP## Dataset Description

- Homepage: URL
- 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