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.'

Examples

Categories

Use a colon to separate each category and its subcategories as in 'category: type1, type2.'

Examples

Guiding Examples

Include all examples in this box. For each example, provide a LABEL, CATEGORY, TYPE, OUTPUT, and REASONING.

Example

Language Model

Visit Llama 3.2 and Gemma 3, and submit an access request for these gated Hugging Face repositories.

Model

Generate & Export

Status

Actions

Enter the number of rows for the generated dataset, and optionally a Hugging Face repo ID.

Sample Output

We're thrilled to have you try our unique fusion dishes! Our chefs have carefully combined flavors from around the world to create a truly unforgettable dining experience. Would you like me to recommend our signature fusion dishes or help you choose a pairing from our extensive wine list?
somewhat polite
meta-llama/Meta-Llama-3.1-8B-Instruct
This text is polite because it expresses excitement and enthusiasm for the customer's experience, showcasing the restaurant's culinary expertise. The use of phrases like "We're thrilled" and "unforgettable dining experience" convey a welcoming tone and a genuine interest in the customer's preferences, making the interaction feel personalized and considerate.