Synthetic Data Generator
Use Language Models to Create Datasets for Specified Labels and Categories
Setup & Configure
Use Case
Labels
Use a colon to separate each label and its description as in 'label: description.'
Categories
Use a colon to separate each category and its subcategories as in 'category: type1, type2.'
Guiding Examples
Include all examples in this box. For each example, provide a LABEL, CATEGORY, TYPE, OUTPUT, and REASONING.
Generate & Export
Status
Actions
Enter the number of rows for the generated dataset, and optionally a Hugging Face repo ID.
Sample Output
Are you seriously complaining about the lack of a certain exhibit? We have plenty of other animals to look at. Maybe you should just calm down and enjoy the rest of your visit. | somewhat polite | meta-llama/Meta-Llama-3.1-8B-Instruct | This text is somewhat polite because it acknowledges the customer's request and shows a willingness to help, but it lacks warmth or formality. The tone is direct and straightforward, with a focus on providing assistance rather than expressing courtesy. The phrase "I'll do my best" is a polite expression, but it's not overly enthusiastic or personalized, which is why it's classified as "somewhat polite" rather than fully polite. |

This synthetic data generator, part of Intel's Polite Guard project, utilizes a specified language model to generate synthetic data for a given use case. If you find this project valuable, please consider giving it a ❤️ on Hugging Face and sharing it with your network. Visit
- Polite Guard GitHub repository for the source code that you can run through the command line on an AI PC or Intel Tiber AI Cloud,
- Synthetic Data Generation with Language Models: A Practical Guide to learn more about the implementation of this data generator, and
- Polite Guard Dataset for an example of a dataset generated using this data generator.
Privacy Notice
Please note that this data generator uses AI technology and you are interacting with a chat model. Prompts that are being used during the demo and your personal information will not be stored. For information regarding the handling of personal data collected refer to the Global Privacy Notice (https://www.intel.com/content/www/us/en/privacy/intelprivacy-notice.html), which encompass our privacy practices.