Synthetic datasets

To generate synthetic data in MOSTLY AI, you start a new synthetic dataset. You can view all finished, canceled, failed, and in-progress synthetic datasets on the Synthetic datasets page.

What is a synthetic dataset?

A synthetic dataset contains the generated (single- or multi-table) data as well as a number of additional artifacts.

• Generated synthetic data (available to download in CSV, Parquet, XLSX formats)
• Usage statistics
  • Generated data points
  • Credits used
• Data insights
  • Generator quality - Overall, Univariate, Bivariate, Coherence
  • Distances
  • Model report for the quality of the generator
  • Data report for the quality of the synthetic dataset
• Data samples - 10 generated samples from the generated data (that you can resample as needed)
• Configuration
  • JSON dictionary of the synthetic dataset configuration
  • Python client code to access the synthetic data via Python or Jupyter Notebook

Create a synthetic dataset

For more information, see Generate single- and multi-table synthetic datasets.

Configure a synthetic dataset