Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
authorship obfuscation
authorship attribution
authorship classification
authorship style
style transfer
style
License:
File size: 2,488 Bytes
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---
license: apache-2.0
size_categories:
- 10K<n<100K
task_categories:
- text-classification
- text-generation
language:
- en
tags:
- authorship obfuscation
- authorship attribution
- authorship classification
- authorship style
- style transfer
- style
- author
---
# [StyleRemix] AuthorMix Dataset
## Dataset Description
This contains the AuthorMix dataset, which is created for authorship obfuscation. It includes 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.
This work was created in the paper: StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements (https://arxiv.org/abs/2408.15666v1), which should be cited if used in future work.
Please see our paper (https://arxiv.org/abs/2408.15666v1) or Github repository (https://github.com/jfisher52/StyleRemix) for more details!
### Dataset Summary
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.
## Other Helpful Links
Please see this Huggingface Collection (https://huggingface.co/collections/hallisky/authorship-obfuscation-66564c1c1d59bb62eaaf954f) if you want to access any other artifacts from the StyleRemix paper.
## Citing Our Work
Please cite our paper if you use this dataset or other resources:
```
@misc{fisher2024styleremixinterpretableauthorshipobfuscation,
title={StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements},
author={Jillian Fisher and Skyler Hallinan and Ximing Lu and Mitchell Gordon and Zaid Harchaoui and Yejin Choi},
year={2024},
eprint={2408.15666},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2408.15666},
}
``` |