A data curation team uses a small language model to pre-process a large text corpus. The model assigns a cross-entropy score to each document. They find two documents with the following scores:

• Document A: Cross-entropy = 1.8
• Document B: Cross-entropy = 9.5

Based on the goal of creating a high-quality, coherent training set, which document is more likely to be included, and why? Explain the relationship between the cross-entropy score and how well a document aligns with the small model's learned patterns.