Skip to main content

​
What is Data Augmentation?

Data Augmentation is a Galtea feature that automatically generates new test cases from a small set of examples. Instead of manually writing hundreds of test cases, you provide a few representative samples and Galtea produces a diverse dataset that preserves the realism, structure, and domain-specific patterns of your original data. It is especially useful when you already have a baseline set of test cases and want to expand your coverage without the overhead of manual creation.
Data Augmentation works with all dataset types — Accuracy, Security & Safety, and Behavior. When triggered, your dataset enters the AUGMENTING status while new cases are being generated.

​
How It Works

Galtea goes beyond simple paraphrasing or template filling. The augmentation engine analyzes your existing test cases to understand their structure, detect domain-specific patterns, and plan diverse scenarios — then generates new cases that are realistic, structurally consistent, and cover different ground from each other. The result is a larger, high-quality dataset in minutes instead of days, with full control over the output size.

​
How to Use Data Augmentation

You can augment any existing dataset directly from the Galtea dashboard:
1

Navigate to your dataset

Go to the Datasets section and select the dataset you want to augment.
2

Click Augment Test Cases

Use the Augment Test Cases button to start the augmentation process.
3

Wait for generation

Your dataset will enter the AUGMENTING status. Once complete, the new test cases will be added to your dataset.

Datasets

Learn about datasets and dataset types in Galtea.

Test Cases

Understand the structure of individual test cases.