Generate LLM fine-tuning, RAG, and eval datasets from source material with easy-dataset

Turn raw documents into structured fine-tuning, RAG, and evaluation datasets when the real job is dataset preparation, not generic document parsing.

Generate LLM fine-tuning, RAG, and eval datasets from source material with easy-dataset

Turn raw documents into structured fine-tuning, RAG, and evaluation datasets when the real job is dataset preparation, not generic document parsing.

Installation

Method 1, Agent Skill Exchange

Method 2, Git clone

git clone https://github.com/agentskillexchange/skills.git && cd skills/skills/generate-llm-fine-tuning-rag-and-eval-datasets-from-source-material-with-easy-dataset

Method 3, Download ZIP

  • Download the repository ZIP and extract skills/generate-llm-fine-tuning-rag-and-eval-datasets-from-source-material-with-easy-dataset.

Method 4, Manual copy

  • Copy this skill folder into your local skills directory, then reload your agent tooling.

Method 5, Fork and sync

  • Fork the repository if you want to maintain local edits while syncing upstream changes.

Source

Generate LLM fine-tuning, RAG, and eval datasets from source material with easy-dataset — skill by agentskillexchange | Shared Context