golden-dataset

# Golden Dataset Comprehensive patterns for building, managing, and validating golden datasets for AI/ML evaluation. Each category has individual rule files in `rules/` loaded on-demand. ## Quick Reference | Category | Rules | Impact | When to Use | | -------- | ----- | ------ | ----------- | | [Curation](#curation) | 2 | HIGH | Content collection, annotation pipelines | | [Management](#management) | 2 | HIGH | Versioning, backup/restore | | [Validation](#validation) | 1 | CRITICAL | Regression testing | | [Add Workflow](#add-workflow) | 1 | HIGH | 9-phase curation, quality scoring, bias detection, silver-to-gold | Total: 6 rules across 4 categories. House thresholds and scars: `references/ork-delta.md`. ## Curation Content collection, multi-agent annotation, and diversity analysis for golden datasets. | Rule | File | Key Pattern | | ---- | ---- | ----------- | | Collection | `rules/curation-collection.md` | Content type classification, quality thresholds, duplicate prevention | | Annotation | `rules/curation-annotation.md` | Multi-agent pipeline, consensus aggregation, Langfuse tracing | Difficulty ladder, coverage floors, and duplicate thresholds: `references/ork-delta.md`. ## Management Versioning, storage, and CI/CD automation for golden datasets. | Rule | File | Key Pattern | | ---- | ---- | ----------- | | Versioning | `rules/management-versioning.md` | JSON backup format, embedding regeneration, disaster recovery | | Storage | `rules/management-storage.md` |...