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  license: mit
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  license: mit
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+
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+ The Complex Dynamics of Online Professional Squads (CDOPS) dataset
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+ comprises a collection of over 1.25 million rounds of Counter-Strike:
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+ Global Offensive (CS:GO) played in professional tournaments under
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+ regulated Counter-Strike servers. These games were publicly posted and
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+ collected from hltv.org. We have developed this dataset for exploring
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+ human squad dynamics in the context of E-sports.
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+
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+ Each game is described by 2 primary parquet files: an events file, and a
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+ ticks file. At each tick (game time step), the server shares information
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+ about player location (e.g., XYZ coordinates & velocity), performance
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+ (e.g., health, kills, deaths), and economics (e.g., cash earned, cash
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+ spent), among other features that dictate the games state.
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+
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+ ![](media/image1.png){width="6.5in" height="1.2902777777777779in"}
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+
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+ The events file contains information on in-game events, like bomb
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+ plants, grenade throws, and player deaths, among others. These events
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+ are synchronized to the game-state "by-tick".
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+
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+ ![](media/image2.png){width="5.163194444444445in"
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+ height="0.9020833333333333in"}
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+
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+ This dataset was produced by HRL Laboratories, LLC under Army Research
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+ Laboratory (ARL) Award Number W911NF-23-2-0243. ARL, as the Federal
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+ awarding agency, reserves a royalty-free, nonexclusive and irrevocable
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+ right to reproduce, publish, or otherwise use this dataset for Federal
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+ purposes, and to authorize others to do so in accordance with 2 CFR
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+ 200.315(b).