| | --- |
| | license: mit |
| | task_categories: |
| | - visual-question-answering |
| | - image-classification |
| | - reinforcement-learning |
| | tags: |
| | - rlhf |
| | - rl |
| | - preference-modeling |
| | - vision-language |
| | - multimodal |
| | - gym |
| | - game |
| | - gameplay |
| | --- |
| | |
| | # Ghost Hunter RLHF Dataset |
| |
|
| | This dataset contains screenshots captured during gameplay of "Ghost Hunter" (8-bit FPS). Each image corresponds to a moment when the player successfully destroyed a ghost with the precision auto-fire. The dataset is intended for reinforcement learning from human feedback (RLHF) tasks, such as training a preference model to distinguish between "good" and "bad" shots. |
| |
|
| |
|
| | **The gym is located in the /gym/ folder so users can play Ghost Hunter by webXOS and make their own datasets.** |
| |
|
| | ## Dataset Structure |
| |
|
| | - `images/`: PNG frames captured at the moment of a kill. |
| | - `metadata.json`: JSON array with per-frame metadata including round number, ghosts remaining, player position, kills in that shot, and timestamp. |
| |
|
| | ## Stats |
| |
|
| | - Total captures: 81 |
| | - Rounds covered: 10 |
| | - Time span: 42.2 seconds |
| |
|
| | ## Usage |
| |
|
| | Use this dataset to fine-tune vision-language models or as a reward model input for RLHF. Each image can be paired with the question: "Is this a good aim?" or similar. |
| |
|
| | ## License |
| |
|
| | MIT |
