Data-Juicer is an open-source data processing and augmentation framework designed to enhance the quality and diversity of datasets for machine learning tasks. It includes a modular pipeline for scalable data transformation.

Features

  • Modular and extensible data processing pipeline
  • Supports data augmentation for improving model robustness
  • Predefined templates for various NLP and CV tasks
  • Scalable to large datasets and distributed computing
  • Compatible with popular deep learning frameworks
  • Open-source with community-driven contributions

Project Samples

Data-Juicer Screenshot 1

Project Activity

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Categories

Natural Language Processing (NLP)

License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-21
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