metadata
license: cc-by-nc-4.0
task_categories:
- video-classification
- reinforcement-learning
language:
- en
tags:
- world-model
- gameplay
- action-recording
- gamepad
- keyboard
- video-action-pairs
- game-ai
- video-prediction
- action-conditioned
pretty_name: World Model Gameplay Recording
size_categories:
- n<1K
World Model Gameplay Recording
Action-conditioned gameplay video dataset for world model training. Contains synchronized high-resolution gameplay recordings with frame-accurate input action logs (gamepad, keyboard, mouse) from multiple AAA game titles.
Dataset Description
- Homepage: obaydata.com
- Company: New Oriental Bay Limited
- Contact: simon.su@obaydata.com
Games Included
| # | Game | Session ID | Duration | Video Format | Video Size | Input Type |
|---|---|---|---|---|---|---|
| 1 | Game Session 1 | fwa0NekU | ~5 min | MKV | 582 MB | Gamepad + Keyboard |
| 2 | The Legend of Zelda: Tears of the Kingdom | g4qz1DLq | ~15 min | MP4 (1080p) | 1.29 GB | Gamepad (axis + buttons) |
| 3 | The Witcher 3: Wild Hunt | g50N33nG | ~13 min | MP4 (1080p) | 1.07 GB | Keyboard + Mouse |
Total: ~33 minutes of gameplay, ~2.94 GB of video
Dataset Structure
fwa0NekU/ # Game Session 1
├── raw_videos/
│ └── 2026-02-11 11-17-33.mkv # Screen recording (~582 MB)
└── raw_meta_data/
└── 2026-02-11_11-17-33/
├── timeline.txt # Session start/stop
├── gamepad_axis_0.txt # Analog stick (5103 events)
├── gamepad_button_0.txt # Button press/release (2168 events)
├── key_0.txt # Keyboard (8 events)
└── mouse_wheel_0.txt # Mouse wheel
g4qz1DLq/ # Zelda: Tears of the Kingdom
├── raw_videos/
│ └── 2026-03-10_23-16-30.mp4 # Gameplay recording (1.29 GB, 1080p)
└── raw_meta_data/
└── 2026-03-10_23-16-30/
├── timeline.txt # Session start/stop
├── gamepad_axis_0.txt # Analog stick (continuous)
├── gamepad_button_0.txt # Button events
├── mouse_move_0.txt # Mouse movement
├── mouse_pressed_0.txt # Mouse clicks
└── mouse_wheel_0.txt # Mouse wheel
g50N33nG/ # The Witcher 3: Wild Hunt
├── raw_videos/
│ └── 2026-03-11_10-31-46.mp4 # Gameplay recording (1.07 GB, 1080p)
└── raw_meta_data/
└── 2026-03-11_10-31-46/
├── timeline.txt # Session start/stop
├── key_0.txt # Keyboard events
├── mouse_pressed_0.txt # Mouse button events
└── mouse_wheel_0.txt # Mouse wheel events
Data Format
Video
- Format: MKV / MP4
- Resolution: Up to 1080p
- Content: Full-screen gameplay recordings
Action Logs (plain text, one event per line)
timeline.txt — Session boundaries:
2026-03-10 23:16:30.389
2026-03-10 23:16:30.474: obs_recording_started
2026-03-10 23:31:32.958
gamepad_axis_0.txt — Analog stick positions:
2026-03-10 23:16:31.709: axis_1,d,-0.105 # Left stick Y-axis
2026-03-10 23:16:31.715: axis_0,d,0.103 # Left stick X-axis
Format: <timestamp>: <axis_id>,<direction>,<value>
gamepad_button_0.txt — Button presses:
2026-03-10 23:16:33.996: button_1,d # Button pressed (d=down)
2026-03-10 23:16:34.511: button_1,u # Button released (u=up)
Format: <timestamp>: <button_id>,<d|u>
key_0.txt — Keyboard events:
2026-03-11 10:31:50.017: w,KEY_DOWN # W key pressed
2026-03-11 10:31:50.345: w,KEY_UP # W key released
Format: <timestamp>: <key>,<KEY_DOWN|KEY_UP>
mouse_pressed_0.txt — Mouse button events:
2026-03-11 10:31:48.948: left,d # Left button pressed
2026-03-11 10:31:49.061: left,u # Left button released
All actions are timestamped to millisecond precision for frame-accurate alignment with the video stream.
Use Cases
- World Model Pre-training: Learn environment dynamics from video + action pairs
- Action-Conditioned Video Prediction: Predict next frames given current frame + action
- Game Environment Simulation: Train neural game engines
- Game AI / Agent Training: Offline RL and imitation learning from human gameplay
- Video Understanding: Temporal reasoning over complex 3D game environments
Collection Method
- Gameplay recorded using OBS Studio at up to 1080p
- Input actions logged simultaneously with millisecond-precision timestamps via custom recording software
- All streams temporally synchronized to the same system clock
- Real human gameplay (not scripted or automated)
Production Data Service
This is a demo dataset. We offer large-scale game video collection services:
- Any game title — PC, console (via capture card), mobile
- Hundreds of hours of synchronized gameplay + action data
- Custom annotation layers: game state extraction, object detection, event segmentation
- Multiple players for behavioral diversity
- Monthly capacity: 100,000+ hours
Contact
- Email: simon.su@obaydata.com
- Website: obaydata.com
- Company: New Oriental Bay Limited
Citation
@dataset{obaydata2026worldmodel,
title={World Model Gameplay Recording},
author={OBayData Team},
year={2026},
url={https://huggingface.co/datasets/obaydata/world-model-gameplay-recording},
publisher={Hugging Face}
}
License
Production capacity: 1000+ hours (weekly capacity: 10,000H per type). Individual collector authorization provided.