data-juicer

(โ˜… 6,920)

Data processing for and with foundation models! ๐ŸŽ ๐Ÿ‹ ๐ŸŒฝ โžก๏ธ โžก๏ธ๐Ÿธ ๐Ÿน ๐Ÿท

  • .coveragerc
  • .gitignore
  • .pre-commit-config.yaml
  • .secrets.baseline
  • app.py
  • Dockerfile
  • Dockerfile.embodied
  • hatch_build.py
  • label_studio_localhost_connection.json
  • LICENSE
  • pyproject.toml
  • README.md
  • README_ZH.md
  • service.py
  • uv.lock

# Installation Guide

1. Get the code
git clone https://github.com/datajuicer/data-juicer

Downloads the entire project code from GitHub to your computer.

cd data-juicer

Moves into the project folder you just downloaded.

2. Docker

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker build -t data-juicer .

Builds a runnable image based on the Dockerfile.

docker run -p 8080:80 data-juicer

Runs the built image as an actual container.

โœ… Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

3. Python

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
uv pip install py-data-juicer

Installs the Python libraries listed in requirements.txt (or similar).

โœ… If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

// repository documentation