Arize Release Notes: Labeling Queues, Expand/Collapse Rows in Trace Table - Arize AI
Sarah Welsh
Arize Release Notes: Labeling Queues, Expand/Collapse Rows in Trace Table
Published Mar 4, 2025
What’s New
Labeling Queues
Labeling Queues are now live, making dataset annotation more scalable and efficient with features such as:
- New Annotator Role – A dedicated RBAC role with focused permissions, ensuring annotators only see assigned records while keeping other data secure.
- Seamless Queue Creation – Create Labeling Queues directly from dataset records, with annotations automatically written back for easy tracking.
- Annotation Resets – AI Engineers can reset annotations, allowing re-labeling when needed.
- Flexible Assignment Methods – Choose between Random or All assignments for annotators in a queue.
- Fast & Streamlined UI – Optimized for quick labeling workflows with: Hotkey support, background data fetching & pagination, and background submissions.
Enhancements
Expand/Collapse Rows in the Trace Table
You can now collapse rows to see more data at a glance or expand them to view more text.
📚 New Content
The latest video tutorials, paper readings, ebooks, self-guided learning modules, and technical posts: