- Description:
Multi-News, consists of news articles and human-written summaries of these articles from the site newser.com. Each summary is professionally written by editors and includes links to the original articles cited.
There are two features: - document: text of news articles seperated by special token "|||||". - summary: news summary.
Additional Documentation: Explore on Papers With Code
Source code:
tfds.summarization.MultiNews
Versions:
1.0.0
(default): No release notes.
Download size:
245.06 MiB
Dataset size:
669.80 MiB
Auto-cached (documentation): No
Splits:
Split | Examples |
---|---|
'test' |
5,622 |
'train' |
44,972 |
'validation' |
5,622 |
- Feature structure:
FeaturesDict({
'document': Text(shape=(), dtype=string),
'summary': Text(shape=(), dtype=string),
})
- Feature documentation:
Feature | Class | Shape | Dtype | Description |
---|---|---|---|---|
FeaturesDict | ||||
document | Text | string | ||
summary | Text | string |
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}
}