training-data-curation
CommunityStandards for high-quality LLM training data.
AuthorM4n5ter
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Provides a standardized approach to create, curate, and evaluate training data for LLM post-training, reducing data quality risks and inconsistencies.
Core Features & Use Cases
- Establishes format guidelines for SFT (JSONL conversations), DPO/ORPO/KTO paired data, and RLHF ranking.
- Defines quality checks (deduplication, language consistency, bias controls) and provenance requirements to ensure reliable fine-tuning datasets.
Quick Start
Follow these guidelines to prepare a high-quality training dataset for LLM fine-tuning.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: training-data-curation Download link: https://github.com/M4n5ter/skills/archive/main.zip#training-data-curation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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