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| license: mit |
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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. |
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| 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. |
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| 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". |
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| 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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| https://ieeexplore.ieee.org/document/11114134 |
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