CS-lol: a Dataset of Viewer Comment with Scene in E-sports Live-streaming

Junjie H. Xu, Yu Nakano, Lingrong Kong, Kojiro Iizuka
1/17/2023
cs.MMcs.LG

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Abstract

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.

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Cite this paper

@article{xu2023cslol,
  title  = {CS-lol: a Dataset of Viewer Comment with Scene in E-sports Live-streaming},
  author = {Junjie H. Xu and Yu Nakano and Lingrong Kong and Kojiro Iizuka},
  year   = {2023},
  eprint = {2301.06876},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2301.06876v1}
}

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