Wildworld Dataset

This loads and works with the WildWorld dataset, a massive 108M+ frame collection from a photorealistic ARPG that's designed for training world models that predict what happens next in a game. Every frame comes with skeleton data, character states like HP and stamina, depth maps, camera poses, and labels for 450+ actions. The skill provides loader utilities for iterating through clips and a PyTorch Dataset class for feeding sequences into models. Worth noting the actual dataset hasn't been released yet as of the paper publication, so this is more of a reference implementation waiting on the data drop. If you're working on video prediction or action-conditioned generation for games, the annotation density here is exceptional once it ships.