Better data starts
with better questions.
Practical guides for teams collecting human gameplay data for AI. Choose the right signals, check the alignment and write a brief your collection team can use.
Start with a collection specificationGameplay dataset guides & tools
From the first sample to a collection plan.
How to evaluate a gameplay dataset for AI training
A practical gameplay dataset checklist: action labels, session continuity, coverage, evaluation splits, sample validation, and collection requirements.
Read the guide Technical guideGameplay video and action alignment: a format guide
Read frame-aligned gameplay JSONL: keyboard states, mouse deltas, timing conventions, metadata, validation checks, and the current collector’s limits.
Read the guide Research planningGameplay data for world models and imitation learning
Choose gameplay data for world models, behavior cloning, or inverse dynamics. Compare observation, action, continuity, and evaluation requirements.
Read the guide Free planning toolGameplay dataset collection specification
Build a gameplay data collection brief: games, recording settings, action labels, quality checks and delivery requirements. Download a free JSON template.
Build your brief