CATEGORYWorld ModelIN STOCK8,000+ hoursCAPACITY10,000 hours / weekSPEC≥1080P / ≥60FPS
01 / DATASET OVERVIEW
SCOPE & PURPOSE
The training task.
- GAMEPLAY VIDEO
- ACTION DATA
- WORLD MODELS
Starting from gameplay video, captures player–environment interaction data via low-level reverse engineering of games, producing "UI-free, highly synchronized, ground-truth-action" world-model training data.
02 / DATASET PROFILE & TECHNICAL SIGNALS
- 01IN STOCK
- 8,000+ hours
- 02CAPACITY
- 10,000 hours / week
- 03SPEC
- ≥1080P / ≥60FPS
- 04TRAINING SIGNAL
- Action-aligned
- Ground-truth player–environment interactions.
03 / DATA PRODUCTION & CONSTRUCTION
- 01SOURCE
Gameplay video
Start with gameplay video to capture player–environment interactions.
- 02EXTRACT
Low-level reverse engineering
Capture interaction data through low-level reverse engineering of games.
- 03STRUCTURE
Highly synchronized data
Synchronize the visual signal with ground-truth action data.
- 04OUTPUT
World-model training data
Produce UI-free, highly synchronized, ground-truth-action data.
04 / COVERAGE & CAPABILITY MATRIX
DIMENSIONCOVERAGE
- 01Source environment
- Gameplay videoPlayer–environment interactions
- 02Training signals
- UI-free videoGround-truth action
- 03Data construction
- Low-level reverse engineeringHigh synchronization
- 04Model application
- World-model training