covid19sum

• Description:

CORD-19 is a resource of over 45,000 scholarly articles, including over 33,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses.

To help organizing information in scientific literatures of COVID-19 through abstractive summarization. This dataset parse those articles to pairs of document and summaries of full_text-abstract or introduction-abstract.

Features includes strings of: abstract, full_text, sha (hash of pdf), source_x (source of publication), title, doi (digital object identifier), license, authors, publish_time, journal, url.

• Additional Documentation: Explore on Papers With Code north_east

• Homepage: https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge

• Source code: tfds.summarization.Covid19sum

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: Unknown size

• Dataset size: Unknown size

• Manual download instructions: This dataset requires you to download the source data manually into download_config.manual_dir (defaults to ~/tensorflow_datasets/downloads/manual/):
  This dataset need to be manually downloaded through kaggle api: kaggle datasets download allen-institute-for-ai/CORD-19-research-challenge Place the downloaded zip file in the manual folder.

• Auto-cached (documentation): Unknown

• Splits:

• Feature structure:

FeaturesDict({
    'abstract': string,
    'authors': string,
    'body_text': Sequence({
        'section': string,
        'text': string,
    }),
    'doi': string,
    'journal': string,
    'license': string,
    'publish_time': string,
    'sha': string,
    'source_x': string,
    'title': string,
    'url': string,
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('body_text', 'abstract')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe): Missing.

• Citation:

@ONLINE {CORD-19-research-challenge,
    author = "An AI challenge with AI2, CZI, MSR, Georgetown, NIH & The White House",
    title  = "COVID-19 Open Research Dataset Challenge (CORD-19)",
    month  = "april",
    year   = "2020",
    url    = "https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge"
}