Data-Juicer-Hub¶

Community-driven recipes, tools, and resources for the Data-Juicer ecosystem.

What’s Inside¶

Directory	Description
demo	Ready-to-use Data-Juicer processing recipes (YAML configs)
juicer_playground	Interactive playground & deployment scripts for the Juicer data-refinement model
annotation_config	Annotation task configurations
dataset_config	Dataset processing configurations
refined_recipes	Refined data processing recipes
reproduced_bloom	Recipes for reproducing BLOOM data processing
reproduced_redpajama	Recipes for reproducing RedPajama data processing

Documentation¶

Detailed documentation about the recipes can be found here.

Quick Start¶

Data Processing Recipes¶

There are plenty of prepared recipes for data processing on different tasks. You can make use of them by cloning this repo and set the --config with the local path of the target recipe file:

# clone this repo to somewhere on your local machine
git clone https://github.com/datajuicer/data-juicer-hub.git
# run with the actual local path to the target recipe
dj-process --config <root-of-data-juicer-hub>/demo/process.yaml --dataset_path <your-dataset-path>

If you prefer learning and using Data-Juicer through interactive Notebooks, you can switch to the notebook branch:

# Switch to the notebook branch
git checkout notebook

This branch contains detailed Data-Juicer Notebook tutorials. You can refer to the online documentation for usage guidance.

Juicer Playground¶

The Juicer Playground provides an interactive demo for the Juicer data-refinement model. See juicer_playground/README.md for setup and usage.

Contributing¶

This is a community-driven repo, so feel free to upload your own recipes and tools! 😄