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jocelynd/playworld-bench

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives Project | Paper | Code | Leaderboard Video world models generate future states from an initial observation and user actions. Comparing interactive models fairly is difficult because the actions required to reach the same long-horizon objective can vary substantially across models. PlayWorld evaluates world models from the perspective of a human player. Each case provides an initial world, a… See the full description on the dataset page: https://huggingface.co/datasets/jocelynd/playworld-bench.

Author / organizationjocelynd
Downloads295 (as reported by Hugging Face)
Likes3
Created5 August 2026
Last updated at source15 August 2026
world-modelvideo-generationinteractive-agentsbenchmarklong-horizon-evaluation
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