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2 datasets found
  1. PAN18 Author Identification: Attribution

    • zenodo.org
    Updated Sep 10, 2018
  2. PAN20 Authorship Analysis: Style Change Detection

    • zenodo.org
    Updated Feb 10, 2020
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Kestemont, Mike; Tschuggnall, Michael; Stamatatos, Efstathios; Daelemans, Walter; Specht, Günther; Stein, Benno; Potthast, Martin (2018). PAN18 Author Identification: Attribution [Dataset]. http://doi.org/10.5281/zenodo.3737685
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PAN18 Author Identification: Attribution

Dataset updated Sep 10, 2018
Dataset provided by
Leipzig Universityhttp://www.uni-leipzig.de/
Bauhaus-Universität Weimarhttps://www.uni-weimar.de/
Authors
Kestemont, Mike; Tschuggnall, Michael; Stamatatos, Efstathios; Daelemans, Walter; Specht, Günther; Stein, Benno; Potthast, Martin
Description

We provide a corpus which comprises a set of cross-domain authorship attribution problems in each of the following 5 languages: English, French, Italian, Polish, and Spanish. Note that we specifically avoid to use the term 'training corpus' because the sets of candidate authors of the development and the evaluation corpora are not overlapping. Therefore, your approach should not be designed to particularly handle the candidate authors of the development corpus.

Each problem consists of a set of known fanfics by each candidate author and a set of unknown fanfics located in separate folders. The file problem-info.json that can be found in the main folder of each problem, shows the name of folder of unknown documents and the list of names of candidate author folders.

The true author of each unknown document can be seen in the file ground-truth.json, also found in the main folder of each problem.

In addition, to handle a collection of such problems, the file collection-info.jsonincludes all relevant information. In more detail, for each problem it lists its main folder, the language (either "en", "fr", "it", "pl", or "sp") and encoding (always UTF-8) of its documents.

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