  Billions of live-streaming viewers share their opinions on scenes they are
watching in real-time and interact with the event, commentators as well as
other viewers via text comments. Thus, there is necessary to explore viewers'
comments with scenes in E-sport live-streaming events. In this paper, we
developed CS-lol, a new large-scale dataset containing comments from viewers
paired with descriptions of game scenes in E-sports live-streaming. Moreover,
we propose a task, namely viewer comment retrieval, to retrieve the viewer
comments for the scene of the live-streaming event. Results on a series of
baseline retrieval methods derived from typical IR evaluation methods show our
task as a challenging task. Finally, we release CS-lol and baseline
implementation to the research community as a resource.
