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PAN18 Author Profiling

<p>We provide you with a training data set that consists of Twitter users labeled with gender. For each author, a total of 100 tweets and 10 images are provided. Authors are grouped by the language of their tweets: English, Arabic and Spanish.</p> <p>More information about the task: <a href="https://pan.webis.de/clef18/pan18-web/author-profiling.html">Link</a></p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship: 8
Harmonization: 8
Access: 0
Reuse readiness: 8
Engagement: 0

Topics

twitter tweets english arabic spanish pan 2018