gokul8967/snake-sft-8x8
Snake SFT Dataset A dataset of 2,000 Snake gameplay episodes with step-by-step reasoning and planning. Dataset Statistics Episodes: 2,000 Training examples: 48,429 Board size: 8x8 Average apples per episode: 24.2 Episodes with 25+ apples: 984 (49.2%) Data Format Each line contains a JSON object with: task: Game identifier answer: Episode summary (apples eaten, death status, steps) reward: Number of apples eaten prompt: System prompt for the AI… See the full description on the dataset page: https://huggingface.co/datasets/gokul8967/snake-sft-8x8.
Snake SFT Dataset
A dataset of 2,000 Snake gameplay episodes with step-by-step reasoning and planning.
Dataset Statistics
- Episodes: 2,000
- Training examples: 48,429
- Board size: 8x8
- Average apples per episode: 24.2
- Episodes with 25+ apples: 984 (49.2%)
Data Format
Each line contains a JSON object with:
task: Game identifieranswer: Episode summary (apples eaten, death status, steps)reward: Number of apples eatenprompt: System prompt for the AIcompletion: Alternating user/assistant messages showing the gameplay
User Messages
Contain <APPLE id=X> observations with:
- Snake head position
- Snake body coordinates
- Apple location
- Board size
Assistant Messages
Contain <THINK> reasoning blocks with:
- Path coordinates to the apple
- Move sequence
- Tail safety calculations
- Safety verification
Followed by <ACTIONS> with the actual moves to execute.
Usage
This dataset is designed for fine-tuning language models to play Snake with sophisticated planning and reasoning capabilities.
License
Apache 2.0
