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README.md
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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).
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Discord messages: 291,648 pairs
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Reddit comments: 190,308 pairs
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Blog Authorship Corpus: 121,350 pairs
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Train set: 573,142 rows (95%)
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Test set: 30,164 rows (5%)
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---
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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).
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Discord messages: 291,648 pairs
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Reddit comments: 190,308 pairs
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+
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Blog Authorship Corpus: 121,350 pairs
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Train set: 573,142 rows (95%)
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Test set: 30,164 rows (5%)
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