--- 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: 7924 num_examples: 6 download_size: 9790 dataset_size: 7924 pretty_name: CharacterBuilderAI --- # Dataset Card for CharacterBuilderAI This is a human written training set of prompts and responses to finetune a model to be a better character creator. ## Dataset Details ### Dataset Description This is a human-curated training dataset designed to fine-tune language models for tabletop role-playing game (RPG) character creator scenarios. The dataset contains carefully crafted prompt-response pairs that demonstrate how an AI should respond as when introducing a character in single-player role-playing scenarios. ### 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 character creator responses to player descriptions in role-playing scenarios. ## Intended Uses ## Primary Use Case Fine-tuning language models to serve AI character creator 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 ```py from datasets import load_dataset ``` ### Load the dataset ```py dataset = load_dataset("Idrinth/characterbuilderai") ``` #### Access training examples ```py train_data = dataset["train"] print(f"Number of examples: {len(train_data)}") ``` ### View a sample conversation ```py 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](https://discord.gg/idrinth). ## Citation If you use this dataset in your research or applications, please cite ``` @dataset{characterbuilderai, title={Character Builder AI Training Dataset}, author={Björn Büttner}, year={2025}, url={https://huggingface.co/datasets/Idrinth/characterbuilderai} } ```