---
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