Update README.md

README.md

@@ -5,4 +5,47 @@ size_categories:
 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}, 
+}
+```