license: mit
task_categories:
- text-generation
language:
- en
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 20852
num_examples: 24
download_size: 14242
dataset_size: 20852
pretty_name: GameMasterAI
Dataset Card for GameMasterAI
This is a human written training set of prompts and responses to finetune a model to be a better game master.
Dataset Details
Dataset Description
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. The dataset focuses on training models to:
- Act as a narrative game master rather than playing as the player character
- Provide engaging story progression and world-building
- Respond appropriately to player actions and decisions
- Maintain consistent storytelling and character interactions
Dataset Summary
- Curated by: Björn 'Idrinth' Büttner
- Language(s) (NLP): English
- License: MIT
Dataset Sources
Repository: https://github.com/bjoern-buettner/roleplay-ai
Data Structure
The dataset contains training examples with the following structure:
- messages: List of conversation turns with content (the message text) and role (user/assistant)
- text: Formatted text representation of the conversation
Each example demonstrates proper game master responses to player actions in role-playing scenarios.
Intended Uses
Primary Use Case
Fine-tuning language models to serve AI game masters for:
- Single-player tabletop RPG sessions
- Interactive storytelling applications
- Role-playing game assistance tools
Example Applications
- Digital D&D campaigns
- Solo adventure gaming
- Creative writing prompts
- Interactive fiction development
Usage Example
from datasets import load_dataset
Load the dataset
dataset = load_dataset("Idrinth/gamemasterai")
Access training examples
train_data = dataset["train"]
print(f"Number of examples: {len(train_data)}")
View a sample conversation
sample = train_data[0]
print("Sample conversation:")
for message in sample["messages"]:
print(f"{message['role']}: {message['content']}")
Limitations and Considerations
- Small dataset size: Currently only 5 training examples, limiting models's exposure to diverse scenarios
- Domain-specific: Focused specifically on RPG/fantasy scenarios
- English only: No multilingual support
- Early stage: Dataset is actively being expanded with more training scenarios
Contributing
The dataset is actively being expanded. Contributors can help by:
- Adding new RPG scenario examples
- Improving existing conversatin quality
- Suggesting additional use cases
For contributions, visit the GitHub Repository or join the Discord community.
Citation
If you use this dataset in your research or applications, please cite
@dataset{gamemaster_ai,
title={Game Master AI Training Dataset},
author={Björn Büttner},
year={2025},
url={https://huggingface.co/datasets/Idrinth/gamemasterai}
}