data-juicer
Data-Juicer is a modular data operating system that processes text, images, audio and video data for basic models. It supports processes of clearing pre-training compilations on the web scale, compiling agent interaction tracks, and preparing RAG indexes specific to the domain. The structure, which can be scaled from a single laptop to a thousand-node clusters, offers YAML-based pipelines and over 200 operators.
DA
datajuicer · Data Pipelines & ETL
STARS7.2K
FORKS443
COMMITS0
CONTRIBUTORS0
VERSIONv1.6.0
UPDATEDyesterday
PythonMultimodal AIData ProcessingBig DataApache-2.0
Common commercial products in this category: Fivetran, Informatica, Stitch
What can it do?
- On text, images, audio, video, and multi-mode data, you perform cleaning, synthesizing, and analysis with over 200 operators.
- Through YAML pipelines and Python components, you configure pre-training, fine-tuning, and data-curing processes.
- You process large-scale data clusters with infrastructure that can scale from a single computer to a thousand-node clusters.
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