Eugene Yan • 3/12/2023

How to Write Data Labeling/Annotation Guidelines

This article provides a practical guide on writing clear and effective data labeling or annotation guidelines for machine learning projects. It outlines key principles—Why, What, and How—that a good guideline should address, including explaining the task's importance, defining terms, and detailing the annotation process. The author references real-world examples from Google and Bing's search quality guidelines to illustrate best practices for ensuring consistent and accurate data labels.

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#Machine Learning #Guidelines #Data Annotation