This article discusses the use of Wikipedia as a source of organized text for language analysis, specifically for training or augmenting large language models.
- Wikipedia is a great source of organized text, useful for language projects. It conveniently provides regularly updated dumps of their corpus.
- The article is focused on the English language articles extract along with the correlating index file for the same.
- The text can be used for training large language models, developing word embeddings, sentiment analysis, fact extraction, or solutions containing combinations of those facets.
- Large volumes of text are required for these tasks, which can be conveniently found in the regularly updated Wikipedia dumps.
- The English articles extract and its correlating index file sum to a rounded 21GB in bzip2 form.
