Ground team
From worked example to your own dataset.
Find your workflow, inspect a real example, and open the exact same specification in Ground. Your starting point is ready to make your own.
Start with the job you need to do: test an application, exercise an evaluation workflow, or extend training data. Each path now walks through the inputs, the output and the checks that matter before you use it.
The e-commerce and rare-event examples open as private, editable datasets with the same columns, relationships, row count and seed as the published specification. Your selection carries through sign-in. Opening an example does not start an AI redesign or an export; normal credits apply when you export.
A fixture for your application. Start with 1,000 e-commerce orders, weighted statuses and missing ratings. Review 25 rows, then adapt the schema to your tests.
A controlled evaluation scenario. Inspect 10,000 transactions with channel-dependent rare labels. Use the simulation to check splitting, ingestion and metrics; it is not evidence of real fraud-model accuracy.
A path for training-data extensions. Upload your own table or select the 3,000-row fictional loan sample. Download the same source CSV before starting analysis.