Data Quality as a Key Issue in LLM Training

Analyzing a Data Preparation Pipeline

A team is preparing a massive text dataset for training a new large language model. Arrange the following key data preparation stages into the most logical and efficient sequence.

A research team is preparing a massive, diverse dataset scraped from the web to train a large language model. They are primarily concerned with two potential issues: training instability and the model learning undesirable social biases from the raw data. Which of the following data preparation strategies would most directly and effectively address both of these concerns?