Azure99/BlossomData
A fluent, scalable, and easy-to-use LLM data processing framework.
This project helps data scientists, machine learning engineers, and AI trainers prepare large datasets for training powerful AI models. It takes raw text, conversation, or structured data and processes it using a library of pre-built tools to clean, transform, translate, verify, and generate synthetic data, producing high-quality, validated datasets ready for model training. It's designed for professionals working with large language models (LLMs).
Use this if you need to efficiently process, clean, and synthesize vast amounts of diverse data (like math problems, dialogues, or structured text) for training large language models, especially if you need to scale from a single machine to a distributed environment.
Not ideal if you are working with small, simple datasets or if your primary focus is on traditional machine learning tasks rather than large language model data preparation.
Stars
28
Forks
3
Language
Python
License
MIT
Category
Last pushed
Jan 31, 2026
Commits (30d)
0
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