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laxmi-narayan-87/ml-data-quality-labeling

v0.1.0

Improve labeled dataset reliability through quality checks, annotation guidelines, representative sampling, disagreement review, and leakage-safe dataset versioning.

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skills

data-quality-labeling

Use when designing annotation guidelines, auditing training data, sampling examples for labeling, measuring annotator agreement, or preparing versioned ML datasets.

Read SKILL.md at the source

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