metadata

license: apache-2.0
task_categories:
  - question-answering
  - text-generation
language:
  - en
  - ko
tags:
  - biology
pretty_name: Medical domain QA dataset for training a medical chatbot.

MQuAD

The Medical Question and Answering dataset(MQuAD) has been refined, including the following datasets. You can download it through the Hugging Face dataset. Use the DATASETS method as follows.

Quick Guide

from datasets import load_dataset
dataset = load_dataset("danielpark/MQuAD-v1")

Medical Q/A datasets gathered from the following websites.

eHealth Forum
iCliniq
Question Doctors
WebMD Data was gathered at the 5th of May 2017.

The MQuAD provides embedded question and answer arrays in string format, so it is recommended to convert the string-formatted arrays into float format as follows. This measure has been applied to save resources and time used for embedding.

from datasets import load_dataset
from utilfunction import col_convert
import pandas as pd

qa = load_dataset("danielpark/MQuAD-v1", "csv")
df_qa = pd.DataFrame(qa['train'])
df_qa = col_convert(df_qa, ['Q_FFNN_embeds', 'A_FFNN_embeds'])