easy-dataset
A powerful tool for creating datasets for LLM fine-tuning, RAG, and evaluation
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Easy-dataset is a JavaScript-based tool designed to simplify the creation and management of datasets for LLM fine-tuning, RAG systems, and evaluations.
Good fit when
- - You prefer using JavaScript, as Easy-Dataset leverages this language for its setup.
- - Your workflows include both local deployment options and Docker containerization, ensuring flexibility in setup environments.
Avoid when
- - When you require a multi-language support beyond JavaScript, as Easy-Dataset is specifically built with JavaScript in mind.
- - In cases where you do not want to use automatic initialization of databases or prefer manual setup configurations.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (108d since push)
- As of Aug 18, 2026
- Provenance
- Not a fork · Personal account
- As of Aug 18, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install easy-datasetHow it fits your stack(7)
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Evidence and technical details
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Overview
easy-dataset is a JavaScript-based tool designed to facilitate the creation of datasets used in various stages of AI model development such as fine-tuning large language models (LLM), Retrieval-Augmented Generation (RAG) systems, and evaluation processes. It provides both local setup and Docker image options for quick deployment.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 18, 2026
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Aug 18, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 18, 2026
- Languages
- javascript
Source: github.language+package.json · Aug 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
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README
Install with NPM 1. Clone the repository: 2. Install dependencies: 3. Start the development server: 4. Open your browser and visit Using the Official Docker Image 1. Clone the repository: 2. Modify the file: Note: It is recommended to use the and folders in the current code repos...
For agents
This page has a .md twin and JSON over the API.