Model Adaptation · Data artifact

Moderation Label Dataset

Data artifactModel AdaptationModelsarc:ModerationLabelDataset

A growing collection of content items labeled harmful or benign by human moderators, with justifications, used as ground truth for filter metrics and as training data for classifier updates.

Responsibility. Supplies human-labeled moderation ground truth.

Also known as: Labeled moderation examples, Ground-truth labels

Direct neighbourhood (hover for relationship types)

Relationships

is read by dependency

is written by dependency

Moderation Review Console Ch9.1

Design guidance

SHOULD include a representative human-annotated sample of outputs so filter precision and recall can be computed.

Sources

Ch9.1: T. Nguyen, "Output Filtering and Content Moderation," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.1. ISBN: 9798244538229.