Sample-to-Dataset: Generate Rich Datasets from Limited Samples Using Data Designer

The Navigator Data Designer's sample-to-dataset capability allows users to generate thousands of records from just a few samples by automatically expanding and exploring the problem domain as a human expert would. This feature maintains the exact format and context of the data, including style, template, and code, while also providing automatic data cleanup and standardization out of the box. The sample-to-dataset workflow is designed for creating diverse and rich datasets tailored to specific AI training/fine-tuning needs, addressing class imbalances, and increasing complexity and richness of data.