add training data for some state of utah address anomalys

[stdavis]

Overview

This PR adds support for some address issues that we have experienced in the state of Utah. We have used our fork of this repo for years. However, after seeing some recent activity in this project, we'd love to incorporate our data into it for the benefit of everyone.

Specifically this improves the tagging of cities, numeric road names, and unit numbers that we have found in our statewide address point layer.

[Copilot]

Pull Request Overview

This PR adds training data to improve address parsing for Utah-specific address anomalies, incorporating patterns from the state's address point layer to benefit the broader community.

• Adds 34 new training examples in labeled.xml covering numeric street names, directional variations, and unit identifiers
• Updates one existing test case to correct address number suffix tagging
• Adds 14 new test cases to validate the training improvements

Reviewed Changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.

File	Description
training/labeled.xml	Adds Utah-specific training examples for numeric streets, directional patterns, city names, and address suffixes
measure_performance/test_data/labeled.xml	Corrects one existing address tagging and adds test cases for the new training patterns

---

_{Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.}