| --- |
| license: mit |
| task_categories: |
| - reinforcement-learning |
| - robotics |
| - visual-question-answering |
| tags: |
| - stable-baselines3 |
| - cleanrl |
| - ray-rllib |
| - gymnasium |
| - rlhf |
| - games |
| - imitation-learning |
| - behavioral-cloning |
| - human-demonstrations |
| - continuous-control |
| - trajectory-data |
| - Human-in-the-loop |
| - Control Modality |
| - Action Space |
| --- |
| |
| [](https://webxos.netlify.app) |
| [](https://github.com/webxos/webxos) |
| [](https://huggingface.co/webxos) |
| [](https://x.com/webxos) |
|
|
| <div style=" |
| background: #00FF00; |
| border-left: 4px solid #00FF00; |
| padding: 1.5rem; |
| margin: 2rem 0; |
| font-family: 'Fira Code', 'Courier New', monospace; |
| color: #00FF00; |
| border-radius: 0 8px 8px 0; |
| "> |
| <pre style=" |
| font-size: 12px; |
| line-height: 1.2; |
| margin: 0; |
| overflow-x: auto; |
| color: #00FF00; |
| "> |
| ___________ ___ _____ _____ ______________ _________ _____ _____ _____ |
| / ___| ___ \/ _ \/ __ \| ___| |___ / _ | \/ || ___ \_ _| ___/ ___| |
| \ `--.| |_/ / /_\ \ / \/| |__ / /| | | | . . || |_/ / | | | |__ \ `--. |
| `--. \ __/| _ | | | __| / / | | | | |\/| || ___ \ | | | __| `--. \ |
| /\__/ / | | | | | \__/\| |___ ./ /__\ \_/ / | | || |_/ /_| |_| |___/\__/ / |
| \____/\_| \_| |_/\____/\____/ \_____/\___/\_| |_/\____/ \___/\____/\____/ |
| |
| </div> |
| |
|
|
| # Space Zombies RL Dataset |
|
|
| *This dataset was recorded with the SPACE ZOMBIES gym by webXOS, download it from the /gym/ folder to create your own datasets.* |
|
|
| This data features an example of a Mouse behavior dataset collected from the Space Zombies RLHF game. It Contains 896 samples of mouse movements, clicks, and game state transitions. |
|
|
| - `mouse_behavior.json`: Raw mouse interaction data |
| |
| - `rl_transitions.csv`: State-action-reward-next_state tuples for RL training |
| |
| - `metadata.yaml`: Hugging Face dataset card |
| |
| - `README.md`: This file |
| |
| ## Collection Parameters |
| |
| - Sampling Rate: 50ms for movement |
| |
| - Control inputs: LMB to move, auto-aim shooting, right-click for AOE attack |
| |
| - Waves Completed: 6 |
| |
| - Dataset Level: 7 |
| |
| ## Research Applications |
| |
| - Reinforcement Learning from Human Demonstrations |
| |
| - Mouse Behavior Modeling |
| |
| - Adaptive Interface Design |
| |
| - Human-in-the-loop RL |
| |
| - Neurorehabilitation Research |
| |
| ## License |
| |
| MIT License |
| |
| ## Contact |
| |
| webXOS Research 2026 |