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# Twitch Streaming Video Dataset
## Overview
The Twitch Streaming Video Dataset is a collection of streaming videos sourced from Twitch, one of the largest streaming platforms. It focuses on the "Talk Shows & Podcasts" category and includes content from two famous streamers: @HealthyGamer_GG, an addiction psychiatrist, and @Markiplier, a well-known influencer.
### Streamers and Channels
- **@HealthyGamer_GG:** This streamer specializes in helping gamers overcome game addiction by discussing mental health issues. With approximately 500K subscriptions and 5M views, their channel provides valuable insights into addiction psychiatry.
- **@Markiplier:** A famous influencer with over 2M subscriptions, @Markiplier shares life moments and thought-provoking perspectives in his streaming. His channel boasts a total of 12.8M views.
## Dataset Details
- **Video Length:** The dataset comprises 65 streaming videos with a total length of 9128 minutes (approximately 152.1 hours). Each streaming video is approximately 2.34 hours long.
- **Viewer Messages:** We crawled all the viewer messages from the chat boxes of the testing videos to evaluate the effect of viewer intentions on highlight extraction.
- **Segment Information:** The dataset contains a total of 163 streamer discourse segments. These segments vary in duration, with a significant portion being less than one minute. This short segment length is intentional, as streamers often engage in dynamic and lively conversations.
## Usage
You can use this dataset for various research purposes, including:
- Highlight extraction from conversation-oriented streaming videos.
- Analyzing viewer engagement and intentions in chat messages.
- Exploring the impact of streamer behavior on viewer interaction.
## Citation
If you use this dataset in your research, please cite our paper https://www.sciencedirect.com/science/article/pii/S0950705122010930 as the source.
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