Sign inGet started
Paper · arXiv

Esports World Model Dataset

Interactive world models must capture how multiple participants jointly change a shared environment while observing different parts of it. Competitive games make this challenge concrete: players cooperate and compete, while fog of war, team vision and camera placement determine what each can see. Modeling these interactions requires data that connect individual observations and actions to shared state and events. We introduce the Esports World Model Dataset (EWM), a collection of human gameplay spanning StarCraft II, Dota 2 and Counter-Strike 2, with 3,053 games and maps and approximately 4,880 player-view hours, including estimated hours for the ongoing CS2 extension. It includes 4,628 c...

AuthorsWeiyu Ma, Zeyuan Gong, Xuhui Liu et al.
Primary categorycs.CV
Published12 October 2026
Last updated at source12 October 2026
cs.CV
Embed this entry
<iframe src="https://silytics.si/embed/item/75f3cc02-630b-4735-8112-aafd19994b1b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.