Salient sentence extraction dataset from COVID-19 news reports

Citation Author(s):: Sumanta
Banerjee

NIT Silchar, India
Submitted by:: Sumanta Banerjee
Last updated:: Tue, 01/31/2023 - 05:19
DOI:: 10.21227/g4z2-ab91
Data Format:: *.csv
License:: Creative Commons Attribution

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Categories:: Artificial Intelligence
Machine Learning
Keywords:: Text Mining; information extraction; sentence extraction

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Abstract

The dataset contains labeled sentences. The sentences having information related to (1) infections, (2) suffering from pneumonea, (3) deaths, and (4) health updates from government/WHO, are labeled with 1 and the rest are labeled with 0. Source of all the news articles: https://www.thehindu.com/archive/

Instructions:

There is a file with labeled sentences and another with the document IDs of each of the sentences.

Dataset Files

Labeled sentences COVID_labeled_4988sentences.csv (736.90 kB)
Document IDs COVID_300document_ids_for_4988sentences.csv (40.85 kB)

Datasets

Standard Dataset

Salient sentence extraction dataset from COVID-19 news reports

Abstract

Dataset Files

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