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The Complex Dynamics of Online Professional Squads (CDOPS) dataset comprises a collection of over 1.25 million rounds of Counter-Strike: Global Offensive (CS:GO) played in professional tournaments under regulated Counter-Strike servers. These games were publicly posted and collected from hltv.org. We have developed this dataset for exploring human squad dynamics in the context of E-sports.
Each game is described by 2 primary parquet files: an events file, and a ticks file. At each tick (game time step), the server shares information about player location (e.g., XYZ coordinates & velocity), performance (e.g., health, kills, deaths), and economics (e.g., cash earned, cash spent), among other features that dictate the games state.
The events file contains information on in-game events, like bomb plants, grenade throws, and player deaths, among others. These events are synchronized to the game-state "by-tick".
This dataset was produced by HRL Laboratories, LLC under Army Research Laboratory (ARL) Award Number W911NF-23-2-0243. ARL, as the Federal awarding agency, reserves a royalty-free, nonexclusive and irrevocable right to reproduce, publish, or otherwise use this dataset for Federal purposes, and to authorize others to do so in accordance with 2 CFR 200.315(b).
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