shanufewf/MedQuAD
Dataset Card for "MedQuAD" This dataset is the converted version of MedQuAD. Some notes about the data: Multiple values in the umls_cui, umls_semantic_types, synonyms columns are separated by | character. Answers for [GARD, MPlusHerbsSupplements, ADAM, MPlusDrugs] sources (31,034 records) are removed from the original dataset to respect the MedlinePlus copyright. UMLS (umls): Unified Medical Language System CUI (cui): Concept Unique Identifier Question type… See the full description on the dataset page: https://huggingface.co/datasets/shanufewf/MedQuAD.
Dataset Card for "MedQuAD"
This dataset is the converted version of MedQuAD. Some notes about the data:
- Multiple values in the
umls_cui,umls_semantic_types,synonymscolumns are separated by|character. - Answers for [
GARD,MPlusHerbsSupplements,ADAM,MPlusDrugs] sources (31,034 records) are removed from the original dataset to respect the MedlinePlus copyright. - UMLS (
umls): Unified Medical Language System - CUI (
cui): Concept Unique Identifier
Question type discrepancies between the paper and dataset
We noticed there are minor discrepancies between the question types mentioned in the paper and the question types in the dataset. Here is a list of these discrepancies and how you can map types in the dataset to those in the paper:
Reference
If you use MedQuAD, please cite the original paper:
@ARTICLE{BenAbacha-BMC-2019,
author = {Asma {Ben Abacha} and Dina Demner{-}Fushman},
title = {A Question-Entailment Approach to Question Answering},
journal = {{BMC} Bioinform.},
volume = {20},
number = {1},
pages = {511:1--511:23},
year = {2019},
url = {https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-3119-4}
}