Generate Llm Fine Tuning Rag And Eval Datasets From Source Material With Easy Dataset

Name: Generate Llm Fine Tuning Rag And Eval Datasets From Source Material With Easy Dataset
Author: agentskillexchange

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

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Added June 8, 2026

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SKILL.md

---
name: "Generate LLM fine-tuning, RAG, and eval datasets from source material with easy-dataset"
slug: "generate-llm-fine-tuning-rag-and-eval-datasets-from-source-material-with-easy-dataset"
description: "Turn raw documents into structured fine-tuning, RAG, and evaluation datasets when the real job is dataset preparation, not generic document parsing."
github_stars: 14000
verification: "security_reviewed"
source: "https://github.com/ConardLi/easy-dataset"
author: "ConardLi"
publisher_type: "GitHub repository"
category: "Data Extraction & Transformation"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "ConardLi/easy-dataset"
  github_stars: 14000
---

# 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.

## Prerequisites

easy-dataset application, supported source documents such as PDF/Markdown/DOCX/TXT/EPUB, and an operator or agent preparing datasets

## Installation

Use the upstream install or setup path that matches your environment:
- git clone https://github.com/ConardLi/easy-dataset.git
- npm install
- npm run build
- npm run start

Requirements and caveats from upstream:
- ### Using the Official Docker Image
- Modify the docker-compose.yml file:

Basic usage or getting-started notes:
- [Features](#features) • [Quick Start](#local-run) • [Documentation](https://docs.easy-dataset.com/ed/en) • [Contributing](#contributing) • [License](#license)
- 🎉🎉 Easy Dataset Version 1.7.0 launches brand-new evaluation capabilities! You can effortlessly convert domain-specific documents into evaluation datasets (test sets) and automatically run multi-dimensional evaluation...
- ## Local Run

- Source: https://github.com/ConardLi/easy-dataset
- Extracted from upstream docs: https://raw.githubusercontent.com/ConardLi/easy-dataset/HEAD/README.md

## Documentation

- https://github.com/ConardLi/easy-dataset#readme

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/generate-llm-fine-tuning-rag-and-eval-datasets-from-source-material-with-easy-dataset/)