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license: mit
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---
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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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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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{width="6.5in" height="1.2902777777777779in"}
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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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{width="5.163194444444445in"
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height="0.9020833333333333in"}
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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).
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