--- license: cc-by-sa-4.0 --- Binary classification dataset for authorship attribution. Each row contains two sets of messages, each set containing at least 250 characters, and a label indicating if the two sets of messages were written by the same author or by two different authors. Three sources are used: reddit comments, discord messages, and blog posts from the [Blog Authorship Corpus](https://huggingface.co/datasets/barilan/blog_authorship_corpus) (license unknown). Discord messages: 291,648 pairs Reddit comments: 190,308 pairs Blog Authorship Corpus: 121,350 pairs Train set: 573,142 rows (95%) Test set: 30,164 rows (5%)