Datasets:
Modalities:
Text
Languages:
English
Size:
1K - 10K
Tags:
authorship obfuscation
authorship attribution
authorship classification
authorship style
style
author
License:
Update README.md
Browse files
README.md
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AUTHORMIX, was originally created for authorship obfuscation task and had data from four distinct domains: presidential speeches, early-1900s fiction novels, scholarly articles, and diary-style blogs. Altogether, AUTHORMIX contains over 30k high-quality paragraphs from 14 authors.
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For the presidential domain, we curate and clean speeches from George W. Bush, Barack Obama, and Donald Trump. For novel domain, we choose a collection of early 1900s fiction writers with strong writing styles: Ernest Hemingway, F. Scott Fitzgerald, and Virginia Woolf. We select these presidents/authors due to their diverse styles but similar eras to minimize content discrepancies.
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Lastly, we alter two existing datasets to match the formality of our new domains: the Extended-Brennan Greenstad, a collection of ``scholarly'' short (500-word) paragraphs gathered from Amazon Mechanical Turk (AMT), and the Blog Authorship corpus \cite{blog_dataset}, a collection of blogs (diary-style entries) that were posted to blog.com.
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All four domains can be found in the AuthorMix.json file, which contains a dictionary with a key for each domain.
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This work was created in the paper: StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements, which should be cited if used in future work.
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Citation:
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license: apache-2.0
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