Datasets
A dataset is the result of onboarding.
It represents a datasource after the platform has prepared it for model training. Training workflows use datasets as their input.
Initial and incremental datasets
The first successful onboarding job creates an initial dataset.
Later onboarding jobs can create incremental datasets that build on the original dataset. Incremental datasets keep a reference to their parent dataset and include an increment_index and increment_label so updates can be traced over time.
Retrieve datasets
Retrieve datasets when you need to find the dataset created by an onboarding job or select a dataset for training.
You can filter the list by data_processing_job_id when you want the dataset produced by a specific onboarding job.
Retrieve a dataset
Retrieve a dataset by id when you need to inspect a specific dataset before training.
Update a dataset
Update a dataset when you need to rename it.
Delete a dataset
Delete a dataset when it should no longer be used.
Views
Dataset views help inspect the structure and lineage of prepared training data.

