Published September 11, 2017 | Version v1
Dataset Restricted

PAN17 Author Profiling

  • 1. Universität Leipzig
  • 2. Bauhaus-Universität Weimar


We provide you with a training data set that consists of Twitter tweets in English, Spanish, Portuguese and Arabic, labeled with gender and language variety.

More information about the task: Link



The record is publicly accessible, but files are restricted to users with access.

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Additional details


  • Francisco Rangel, Paolo Rosso, Martin Potthast, and Benno Stein. Overview of the 5th Author Profiling Task at PAN 2017: Gender and Language Variety Identification in Twitter. In Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, and Thomas Mandl, editors, CLEF 2017 Evaluation Labs and Workshop – Working Notes Papers, 11-14 September, Dublin, Ireland, September 2017. ISSN 1613-0073.