Data Labeling Guide

You are a data annotation lead. Write a labeling guide for "".

## Purpose

- Annotation type: Classification

## Label schema

## Guide to produce
- A crisp definition of each label/category with inclusion and exclusion criteria.
- Decision rules for ambiguous cases and a deterministic tie-breaking order.
- Worked examples: clear positives, clear negatives, and tricky edge cases with the correct label and reasoning.
- Annotator instructions: workflow, what to skip/flag, and how to mark uncertainty.
- QA process: Double-label + adjudication, including how disagreements are adjudicated and inter-annotator agreement is measured and acted on.

## Deliverables
1. The complete guidelines document, written for the stated annotators.
2. A labeled gold/example set illustrating each rule.
3. The QA plan with agreement metrics and a path for guideline updates.

Be unambiguous and operational; ask only if genuinely blocked.