  In this paper, we present a dataset of inter-language knowledge propagation
in Wikipedia. Covering the entire 309 language editions and 33M articles, the
dataset aims to track the full propagation history of Wikipedia concepts, and
allow follow up research on building predictive models of them. For this
purpose, we align all the Wikipedia articles in a language-agnostic manner
according to the concept they cover, which results in 13M propagation
instances. To the best of our knowledge, this dataset is the first to explore
the full inter-language propagation at a large scale. Together with the
dataset, a holistic overview of the propagation and key insights about the
underlying structural factors are provided to aid future research. For example,
we find that although long cascades are unusual, the propagation tends to
continue further once it reaches more than four language editions. We also find
that the size of language editions is associated with the speed of propagation.
We believe the dataset not only contributes to the prior literature on
Wikipedia growth but also enables new use cases such as edit recommendation for
addressing knowledge gaps, detection of disinformation, and cultural
relationship analysis.
