easy-dataset Docker & Self-Hosted Deployment

GitHub

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

15,063 stars JavaScript JavaScript 1 file Β· ~3,146 tokens #dataset#fine-tuning#javascript#llm#rag
RAW Compose
1. Pull Image (GHCR) docker pull ghcr.io/conardli/easy-dataset
2. Docker Run (1-Click Launch) docker run -d --name easy-dataset -p 1717:1717 --restart always ghcr.io/conardli/easy-dataset
3. Podman Run podman run -d --name easy-dataset -p 1717:1717 --restart always ghcr.io/conardli/easy-dataset
4. Skopeo Inspect (Zero-Pull Manifest) skopeo inspect docker://ghcr.io/conardli/easy-dataset
5. ORAS Pull (OCI Artifact) oras pull ghcr.io/conardli/easy-dataset
6. Compose Deployment docker compose up -d
docker-compose.yml
Download .yml 
services:
  easy-dataset:
    image: ghcr.io/conardli/easy-dataset
    container_name: easy-dataset
    ports:
      - '1717:1717'
    volumes:
      - ./local-db:/app/local-db
      - ./prisma:/app/prisma
    restart: unless-stopped