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---
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: 8900
num_examples: 5
download_size: 10965
dataset_size: 8900
pretty_name: Gamemaster AI
---
# Dataset Card for Gamemaster AI
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](https://github.com/bjoern-buettner/roleplay-ai) or join the Discord community.
Citation
If you use this dataset in your research or applications, please cite"
@dataset{gamemaster_ai,
title={Gamemaster AI Training Dataset},
author={Björn Büttner},
year={2025},
url={https://huggingface.co/datasets/Idrinth/gamemasterai}
}
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