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@@ -37,7 +37,15 @@ This is a human written training set of prompts and responses to finetune a mode
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  ### Dataset Description
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- This is a human written training set of prompts and responses to finetune a model to be a better game master.
 
 
 
 
 
 
 
 
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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:** [github.com/bjoern-buettner/roleplay-ai](https://github.com/bjoern-buettner/roleplay-ai)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ## Uses
 
 
 
 
 
 
 
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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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+
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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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+
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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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+
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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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+
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+ Each example demonstrates proper game master responses to player actions in role-playing scenarios.
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+
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+ ## Intended Uses
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+
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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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+
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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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+
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+ Usage Example
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+ from datasets import load_dataset
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+
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+ # Load the dataset
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+ dataset = load_dataset("Idrinth/gamemasterai")
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+
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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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+
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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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+
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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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+
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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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+
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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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