This project aims to develop an automated system for efficiently collecting and pruning vast datasets required for training Large Language Models (LLMs). It will focus on creating scalable algorithms that ensure data quality and relevance. The system will incorporate advanced data techniques in data mining, natural language processing, and machine learning, which are crucial for training robust and accurate LLMs.