easy-dataset: A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval

by ConardLi · Agent Tool · ★ 14.9k

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How to install easy-dataset

git clone https://github.com/ConardLi/easy-dataset.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

datasetfine-tuningjavascriptllmrag

Quick Facts

Stars14,934
Forks1,533
LanguageJavaScript
CategoryAgent Tool
Quality Score71/100
Open Issues128
Last Updated2026-05-01
Created2025-03-04
Platformsnode
Est. Tokens~1241k

About easy-dataset

A powerful tool for creating fine-tuning datasets for Large Language Models 简体中文 Türkçe Features • Quick Start • Documentation • Contributing • License If you like this project, please give it a Star⭐️, or buy the author a coffee = Donate

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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