使用 easy-dataset 从源材料生成 LLM 微调、RAG 和评估数据集

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/1991513ccie-png/skills
• 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 • Quick Start • Documentation • Contributing • 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/1991513ccie-png/skills

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

Documentation

• https://github.com/1991513ccie-png/skills