#### [Sarah Welsh](/content/author/sarah-welsh/index.html)

## 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.

[Learn More](https://docs.arize.com/arize/llm-evaluation-and-annotations/how-to-labeling-queues)

### 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:

🐳 [DeepSeek Deep Dive](/content/blog/how-deepseek-is-pushing-the-boundaries-of-ai-development/index.html)

🤖 [How to Build an AI Agent](/content/blog/how-to-build-an-ai-agent/index.html)

🎉 [We Raised $70M: A Note from our Founders](/content/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/index.html)