This repo contains code and notebooks for the COVID-19 Open Research Dataset Challenge (CORD-19) on kaggle

Clone and modify the Kaggle notebook

1. Download the data

Login to Kaggle and download the CORD Research Challenge data and extract to a folder called data.

You can also use the kaggle cli bash kaggle datasets download allen-institute-for-ai/CORD-19-research-challenge `` 2. Install

Install the library using pip

pip install git+https://github.com/dgunning/cord19.git

dir data\CORD-19-research-challenge

The library is meant for use in Jupyter or Kaggle notebooks

from cord import ResearchPapers

research_papers = ResearchPapers.load()

After loading the research papers you can display in a notebook

research_papers

The search function returns the items that match the search query

research_papers.searchbar('vaccine transmission'

A more convenient way to search is through the search bar. This displays a search widgets in Jupyter notebook

research_papers.searchbar('vaccine transmission')

There are many ways to select subsets of research papers including

• Papers since SARS research_papers.since_sars()
• Papers since SARS-COV-2 research_papers.since_sarscov2()
• Papers before SARS research_papers.before_sars()
• Papers before SARS-COV-2 research_papers.before_sarscov2()
• Papers before a date research_papers.before('1989-09-12')
• Papers after a date research_papers.after('1989-09-12')
• Papers that contains a string research_papers.contains("Fauci", column='authors')
• Papers that match a string (using regex) research_papers.match('H[0-9]N[0-9]')

You can select individual papers by using Python indexing []

research_papers[200]