golden-dataset
CommunityManage AI evaluation datasets with confidence.
Data & Analytics#ai testing#data validation#data curation#dataset management#golden dataset#evaluation dataset
Authoryonatangross
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the complex process of creating, managing, and validating high-quality datasets used for evaluating AI models, ensuring reliable performance metrics.
Core Features & Use Cases
- Curation & Annotation: Automate content collection, multi-agent annotation, and diversity analysis.
- Versioning & Backup: Implement robust versioning, storage, and CI/CD integration for datasets.
- Validation & Quality: Ensure data integrity through schema validation, duplicate detection, and drift analysis.
- Use Case: When building a new evaluation dataset for a chatbot, use this Skill to collect relevant articles, annotate them with quality scores, ensure topic diversity, and automatically back up versions for reproducible testing.
Quick Start
Use the golden-dataset skill to curate and validate new entries for the AI evaluation dataset.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: golden-dataset Download link: https://github.com/yonatangross/orchestkit/archive/main.zip#golden-dataset Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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