Datasets:
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.
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.
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, a collection of blogs (diary-style entries) that were posted to blog.com.
All four domains can be found in the AuthorMix.json file, which contains a dictionary with a key for each domain.
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.
Citation: