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Dataset: style_change_detection 🏷
Update on GitHub

How to load this dataset directly with the πŸ€—/datasets library:

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from datasets import load_dataset dataset = load_dataset("style_change_detection")


The goal of the style change detection task is to identify text positions within a given multi-author document at which the author switches. Detecting these positions is a crucial part of the authorship identification process, and for multi-author document analysis in general. Access to the dataset needs to be requested from zenodo.


  title={Shared Tasks on Authorship Analysis at PAN 2020},
  author={Bevendorff, Janek and Ghanem, Bilal and Giachanou, Anastasia and Kestemont, Mike and Manjavacas, Enrique and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Specht, G{\"u}nther and Stamatatos, Efstathios and others},
  booktitle={European Conference on Information Retrieval},

Models trained or fine-tuned on style_change_detection

None yet. Start fine-tuning now =)