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@@ -23,13 +23,13 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 11728
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- num_examples: 8
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- download_size: 11536
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- dataset_size: 11728
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- pretty_name: Gamemaster AI
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  ---
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- # Dataset Card for Gamemaster AI
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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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@@ -40,10 +40,10 @@ This is a human written training set of prompts and responses to finetune a mode
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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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@@ -119,7 +119,7 @@ For contributions, visit the [GitHub Repository](https://github.com/bjoern-buett
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  If you use this dataset in your research or applications, please cite
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  ```
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  @dataset{gamemaster_ai,
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- title={Gamemaster AI Training Dataset},
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  author={Björn Büttner},
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  year={2025},
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  url={https://huggingface.co/datasets/Idrinth/gamemasterai}
 
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 8900
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+ num_examples: 5
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+ download_size: 10965
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+ dataset_size: 8900
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+ pretty_name: GameMasterAI
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  ---
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+ # Dataset Card for GameMasterAI
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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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  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
47
 
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  ### Dataset Summary
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  If you use this dataset in your research or applications, please cite
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  ```
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  @dataset{gamemaster_ai,
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+ title={Game Master AI Training Dataset},
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  author={Björn Büttner},
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  year={2025},
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  url={https://huggingface.co/datasets/Idrinth/gamemasterai}