Skip to main content

Datasets

Datasets are collections of synthetic test data generated by TDMP based on your schemas and constraints. They represent the final output you'll use in your testing environments.

Where you'll work with datasets​

  • Project page: Start new dataset generation for a project and view existing datasets
  • Dataset page: Inspect details of a specific dataset
  • Library: Browse all datasets you can access
  • Dashboard: Quick access to recent datasets

Understanding datasets​

A dataset is the result of combining:

  • A schema (defines the structure)
  • A constraint set (defines the rules and values)
  • generation parameters (how many records, what format)

Example: A dataset might contain 1,000 user records with realistic names, emails, ages, and addresses that match your constraints.

Dataset properties​

Each dataset includes:

  • Number of records generated
  • Output format (CSV, JSON, XML)
  • Generation status (in queue, in progress, completed, failed)
  • Creation date and creator
  • Associated project, schema, and constraint set

Typical workflow​

  1. Configure your schema and constraints in a project
  2. Start dataset generation with desired parameters
  3. Monitor generation progress
  4. Preview results to verify data quality
  5. Download the dataset files
  6. Import into your test environment