ML data pipelines

Normalizing text before the hash lookup finds several times more contaminated eval rows

Train/test contamination gets into a fine-tuning set through merges, augmentation and re-scrapes, and the first two checks for it are complete hash lookups with no threshold to tune. The approximation only enters at the near-duplicate stage.