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Abstracts of peer-reviewed research on COVID-19, drawn from a bibliographic database export and covering its effects on education, children, schools, and society. Longer and more technical than [feedback_translations], with a publication year on every record, the corpus is a realistic benchmark for the package's embedding and topic-modeling workflow — including temporal analysis across the pandemic years.

Usage

covid

Format

A data frame with 4,170 rows and 2 columns:

Year

Integer publication year, from 2020 to 2024.

Abstract

The article abstract. 323 records carry the placeholder `"[No abstract available]"`; 3,671 of the abstracts are distinct and the longest is 5,285 characters.

Editorial notices (retractions, corrections, and errata) are removed during preparation, so every row is a research abstract or a placeholder.

Source

Bibliographic database export of COVID-19 research articles (2020-2024), prepared by `data-raw/covid.R`.

Examples

table(covid$Year)
#> 
#> 2020 2021 2022 2023 2024 
#>  754 2745  560  106    5 

content <- covid$Abstract[covid$Abstract != "[No abstract available]"]
nchar(content[1])
#> [1] 1654