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    PAN15 Author Identification: Verification

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    Updated Nov 30, 2023
    + more versions
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López-López, Aurelio (2023). PAN15 Author Identification: Verification [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_3737562

PAN15 Author Identification: Verification

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Dataset updated
Nov 30, 2023
Dataset provided by
Stein, Benno
Juola, Patrick
López-López, Aurelio
Potthast, Martin
Stamatatos, Efstathios
Daelemans Daelemans amd Ben Verhoeven, Walter
Description

We provide you with a training corpus that comprises a set of author verification problems in several languages/genres. Each problem consists of some (up to five) known documents by a single person and exactly one questioned document. All documents within a single problem instance will be in the same language. However, their genre and/or topic may differ significantly. The document lengths vary from a few hundred to a few thousand words.

The documents of each problem are located in a separate folder, the name of which (problem ID) encodes the language of the documents. The following list shows the available sub-corpora, including their language, type (cross-genre or cross-topic), code, and examples of problem IDs:

Language; Type; Code; Problem IDs Dutch; Cross-genre; DU; DU001, DU002, DU003, etc. English; Cross-topic; EN; EN001, EN002, EN003, etc. Greek; Cross-topic; GR; GR001, GR002, GR003, etc. Spanish; Cross-genre; SP; SP001, SP002, SP003, etc.

The ground truth data of the training corpus found in the file truth.txt include one line per problem with problem ID and the correct binary answer (Y means the known and the questioned documents are by the same author and N means the opposite). For example:

EN001 N EN002 Y EN003 N ...

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