  Online social networks such as Twitter and Weibo play an important role in
how people stay informed and exchange reactions. Each crisis encompasses a new
opportunity to study the portability of models for various tasks (e.g.,
information extraction, complex event understanding, misinformation detection,
etc.), due to differences in domain, entities, and event types. We present the
Russia-Ukraine Crisis Weibo (RUW) dataset, with over 3.5M user posts and
comments in the first release. Our data is available at
https://github.com/yrf1/RussiaUkraine_weibo_dataset.
