Technical GlossaryData Science and Data Management
Labeling Guideline
A formal instruction document defining the rules, examples, and exceptions to be used during labeling.
A labeling guideline serves as the quality assurance backbone of an annotation project. It defines clearly which label should apply to which case, how ambiguous examples should be handled, and how exceptions should be interpreted. Without such a guide, annotators rely on personal judgment and large inconsistencies emerge across labels. A strong labeling guideline improves quality and helps new annotators onboard more quickly. In large-scale labeling operations, this document acts as an operational spine.
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