  In this paper we present the Wikipedia Cultural Diversity dataset. For each
existing Wikipedia language edition, the dataset contains a classification of
the articles that represent its associated cultural context, i.e. all concepts
and entities related to the language and to the territories where it is spoken.
We describe the methodology we employed to classify articles, and the rich set
of features that we defined to feed the classifier, and that are released as
part of the dataset. We present several purposes for which we envision the use
of this dataset, including detecting, measuring and countering content gaps in
the Wikipedia project, and encouraging cross-cultural research in the field of
digital humanities.
