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README.md

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+# Ghost Hunter RLHF Dataset (Precision Auto)
+
+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.
+
+## 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
+
+CC0 (public domain) - feel free to use for any purpose.