The Reuters Corpus contains 10,788 news documents totaling 1.3 million words. The documents have been classified into 90 topics, and grouped into two sets, called "training" and "test"; thus, the text with fileid 'test/14826' is a document drawn from the test set. This split is for training and testing algorithms that automatically detect the topic of a document, as we will see in chap-data-intensive.

Language: English
Number of topics: 90
Number of articles: ~10.000
Year: 2000

References

NLTK datasets: https://www.nltk.org/book/ch02.html.
Dataset site: https://trec.nist.gov/data/reuters/reuters.html.

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