Published September 5, 2016 | Version v1
Dataset Restricted

PAN16 Author Profiling

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

Description

We provide a training data set that consists of Twitter tweets in English, Spanish and Dutch.

The English and Spanish datasets are labeled with age and gender, whereas the Dutch one only with gender. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-64, 65-xx.

Remark. Due to Twitter's privacy policy we cannot provide tweets directly, but only URLs referring to them. You will have to download them yourself. For your convenience, we provide a download software for this. We expect participants to extract gender and age information only from the textual part of a tweet and to discard any other meta information that may be provided by Twitter's API. When we evaluate your software at our site, we do not expect it downloads tweets. We will do this beforehand.

More information about the task: Link

Files

Restricted

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

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

Please request access to the data with a short statement on how you want to use it. Thanks!
We would like to point out that you can register on pan.webis.de to be part of the PAN community.

You are currently not logged in. Do you have an account? Log in here

Additional details

References

  • Francisco Rangel, Paolo Rosso, Ben Verhoeven, Walter Daelemans, Martin Potthast, and Benno Stein. Overview of the 4th Author Profiling Task at PAN 2016: Cross-Genre Evaluations. In Krisztian Balog, Linda Cappellato, Nicola Ferro, and Craig Macdonald, editors, CLEF 2016 Evaluation Labs and Workshop – Working Notes Papers, 5-8 September, Évora, Portugal, September 2016. CEUR-WS.org. ISSN 1613-0073.