Guideline goal
Annotation guidelines allow users to describe a phenomenon or concept as generally and precisely as possible. Good annotation guidelines are helpful for subject...
Walkthrough for annotators
This page walks through the process of manually annotating documents in Annotation Studio. This walkthrough is designed for users with the Annotator role, who n...
Walkthrough for reviewers
This page walks through the different ways that users with the Reviewer role can review annotations from all annotators.
Create batches
This page walks through how you can create batches of documents for manual annotation when the dataset does not use multi-schema annotations.
Ground truth annotations
In this article, you will learn about ground truth annotations and how to add these annotations for multiple use cases.
Manage batches and commit ground truth
This page walks through how to manage your batches and commit annotations to your ground truth to be used for development in Develop (Studio).
Using dataset views for generative AI
Dataset views power the generative AI annotation data viewers. Snorkel Flow offers dataset view options with various benefits:
Using multi-schema annotations
Multi-schema annotations unlock complex workflows by letting you collect annotations across multiple schemas at one time. This feature empowers subject matter e...
View aggregate annotation metrics
This page walks through the summary metrics and settings that are found on the Annotation Studio Overview page. This page is typically used by those with Develo...