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BotScreen: Trust Everybody, but Cut the Aimbots Yourself

<p>This data contains&nbsp;pre-processed gameplay data, pre-trained model and&nbsp;pre-evaluated data for paper &quot;BotScreen: Trust Everybody, but Cut the Aimbots Yourself&quot;.</p> <p>Please refer to this <a href="https://github.com/SoftSec-KAIST/BotScreen">repository</a>&nbsp;for more information.</p> <p>Version 2 - Removed .DS_Store and __MACOSX</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
June 4, 2023
License
cc-by-4.0
DOI
10.5281/zenodo.8003841

Scored with release 0.9.0

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