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README.md
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### Dataset Description
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This is a human
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- **Curated by:** Björn 'Idrinth' Büttner
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- **Language(s) (NLP):** English
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### Dataset Sources
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This set is intended to be used for fine tuning a model to provide a better conversation partner in single player role play.
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### Dataset Description
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This is a human-curated training dataset designed to fine-tune language models for tabletop role-playing game (RPG) game master scenarios. The dataset contains carefully crafted prompt-response pairs that demonstrate how an AI should respond as a game master in single-player role-playing scenarios.
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The dataset focuses on training models to:
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Act as a narrative game master rather than playing as the player character
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Provide engaging story progression and world-building
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Respond appropriately to player actions and decisions
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Maintain consistent storytelling and character interactions
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### Dataset Summary
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- **Curated by:** Björn 'Idrinth' Büttner
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- **Language(s) (NLP):** English
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### Dataset Sources
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Repository: https://github.com/bjoern-buettner/roleplay-ai
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### Data Structure
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The dataset contains training examples with the following structure:
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- messages: List of conversation turns with content (the message text) and role (user/assistant)
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- text: Formatted text representation of the conversation
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Each example demonstrates proper game master responses to player actions in role-playing scenarios.
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## Intended Uses
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## Primary Use Case
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Fine-tuning language models to serve AI game masters for:
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- Single-player tabletop RPG sessions
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- Interactive storytelling applications
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- Role-playing game assistance tools
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Example Applications
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- Digital D&D campaigns
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- Solo adventure gaming
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- Creative writing prompts
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- Interactive fiction development
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Usage Example
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("Idrinth/gamemasterai")
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# Access training examples
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train_data = dataset["train"]
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print(f"Number of examples: {len(train_data)}")
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# View a sample conversation
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sample = train_data[0]
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print("Sample conversation:")
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for message in sample["messages"]:
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print(f"{message['role']}: {message['content']}")
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Limitations and Considerations
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- Small dataset size: Currently only 5 training examples, limiting models's exposure to
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diverse scenarios
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- Domain-specific: Focused specifically on RPG/fantasy scenarios
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- English only: No multilingual support
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- Early stage: Dataset is actively being expanded with more training scenarios
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Contributing
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The dataset is actively being expanded. Contributors can help by:
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- Adding new RPG scenario examples
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- Improving existing conversatin quality
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- Suggesting additional use cases
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For contributions, visit the [GitHub Repository](https://github.com/bjoern-buettner/roleplay-ai) or join the Discord community.
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Citation
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If you use this dataset in your research or applications, please cite"
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@dataset{gamemaster_ai_2024,
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title={Gamemaster AI Training Dataset},
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author={Björn Büttner},
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year={2024},
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url={https://huggingface.co/datasets/Idrinth/gamemasterai}
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}
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