#' @title Texts for text mining and Machine Learning (data)
#' @description A dataset that combines the title and abstracts from the lens dataset for text mining and ML.
#' @details The titles and abstracts are divided into separate files and then
#' joined. A unique id is constructed from the paperid and row number
#' separated by "_". The result is a data frame compliant with the emerging
#' TIF format favoured by quanteda, spacyr etc. paperids can be reconstructed for joins at a later stage using tidyr::separate().
#' For use with spacy in Python use e.g. jsonlite::stream_out(texts, file("flights.jsonl")).
#' @usage data("texts")
#' @aliases texts
#' @format{
#' \describe{
#' \item{\code{id}}{character}
#' \item{\code{texts}}{character}
#' }
#' }
"texts"
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