Salient sentence extraction from COVID-19 news reports

Citation Author(s):
Sumanta
Banerjee
NIT Silchar, India
Submitted by:
Sumanta Banerjee
Last updated:
Sat, 11/12/2022 - 07:44
DOI:
10.21227/g4z2-ab91
Data Format:
License:
0
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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.

Instructions: 

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