Data-Juicer turns chaotic training data into scalable AI‑ready pipelines
Data-Juicer offers 200+ Ray-native operators for cleaning, deduplication, and synthesis of multimodal data, letting teams define reusable YAML pipelines. It scales from a laptop to thousands of nodes, processing billions of samples in hours, making large‑scale foundation model training far more efficient.