• Description:

Multi-News Dataset

Multi-News consists of news articles and human-written summaries of these articles from the news site newser.com. Each summary is professionally written by editors and includes links to the original articles cited.

This is the first large-scale dataset for multi-document summarization on news articles.

Each record has two features:

• document: Texts of news articles, separated by special token "|||||".

• summary: Summary of the news.

• Additional Documentation: Explore on Papers With Code north_east

• Homepage: https://github.com/Alex-Fabbri/Multi-News

• Source code: tfds.datasets.multi_news.Builder

• Versions:

  • 1.0.0: Initial release.
  • 2.0.0: [Do not use] Update the dataset with valid URLs.
  • 2.1.0 (default) nights_stay: Update the dataset with the correct URLs. The URLs in this version come from HuggingFace's dataset repo, which is curated by the same author: https://huggingface.co/datasets/alexfabbri/multi_news

• Download size: 721.73 MiB

• Dataset size: 666.50 MiB

• Auto-cached (documentation): No

• Splits:

• Feature structure:

FeaturesDict({
    'document': Text(shape=(), dtype=string),
    'summary': Text(shape=(), dtype=string),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('document', 'summary')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@misc{alex2019multinews,
    title={Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model},
    author={Alexander R. Fabbri and Irene Li and Tianwei She and Suyi Li and Dragomir R. Radev},
    year={2019},
    eprint={1906.01749},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}