Agent skill · research science · aradotso
wildworld-dataset
WildWorld large-scale action-conditioned world modeling dataset with 108M+ frames from a photorealistic ARPG game, featuring per-frame annotations, 450+ actions, and explicit state information for generative world modeling research.
Why this skill is useful
Provides domain-specific knowledge and structured access patterns for a unique dataset that the AI wouldn't reliably generate on its own.
What it needs
Requires pip installed locally. About 6k tokens when loaded. Last updated 2026-07-09. 70 stars on the source repository.
What this skill does
WildWorld Dataset Skill Skill by ara.so — Daily 2026 Skills collection. What WildWorld Is WildWorld is a large-scale action-conditioned world modeling dataset automatically collected from a photorealistic AAA action role-playing game (ARPG). It is designed for training and evaluating dynamic world models — generative models that predict future game states given past observations and player actions. Key Statistics Property Value --- --- Total frames 108M+ Actions 450+ semantically meaningful Monster species 29 Player characters 4 Weapon types 4 Distinct stages 5 Max clip length 30+ minutes continuous Per-Frame Annotations Every frame includes: Character skeletons — joint positions for player and monsters Actions & states — HP, animation state, stamina, etc. Camera poses — position, rotation, field of view Depth maps — monocular depth for each frame Hierarchical captions — action-level and sample-level natural language descriptions --- Project Status ⚠️ As of March 2026, the dataset and WildBench benchmark have not yet been released. Monitor the repository for updates. --- Repository Setup --- Expected Dataset Structure Based on the paper and framework description, the dataset is expected to follow this structure: --- Working with the Dataset (Anticipated API) Loading Frame Annotations PyTorch Dataset Filtering by Action Type --- WildBench Evaluation --- Citation --- Resources Project Page: https://shandaai.github.io/wildworld-project/ arXiv Paper: https://arxiv.org/abs/2603.23497 YouTube Demo: https://www.youtube.com/watch?v=9vcSg553r2g GitHub: https://github.com/ShandaAI/WildWorld --- Troubleshooting Issue Solution --- --- Dataset not yet available Monitor the repo; dataset release is pending as of March 2026 Frame loading OOM Reduce sequencelength or imagesize in the Dataset Missing annotation files Check that all subdirs (frames, depth, skeleton, states, camera, actions) are fully downloaded Slow DataLoader Increase numworkers, use SSD storage, or preprocess to HD …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/wildworld-dataset