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The annotation_configs functions are currently in BETA. The API may change without notice. A one-time warning is emitted on first use.
Create custom labels that can be added to represent human feedback. Annotation configs allow teams and subject matter experts to label data and curate high-quality datasets.

List Annotation Configs

Create a Continuous Annotation Config

Continuous configs represent a numeric score within a fixed range (e.g. a 0-1 quality score).

Create a Categorical Annotation Config

Categorical configs represent a fixed set of labeled values a scorer can choose from (e.g. correct / incorrect).

Create a Freeform Annotation Config

Freeform configs represent open-ended text feedback with no predefined scale or set of values.

Get Annotation Config

Update a Continuous Annotation Config

A config’s type is immutable. Any fields that are omitted are left unchanged.

Update a Categorical Annotation Config

values, when provided, fully replaces the existing label set (2-100 items).

Update a Freeform Annotation Config

Delete Annotation Config