benchmark-generated.txt: a fresh dataset (not used to tune the rules)
covering every PD type from the spec plus format variations — date
order, "серия ... номер ...", register-independence. Surfaced two real
gaps worth tracking: FIO detection needs a capitalized first letter,
so "клиент иванова мария петровна" (all lowercase) isn't found; the
NER cascade flags plain capitalized nouns ("Портрет", "Рим") as names
when the base rules alone don't.
LargeTextTest: the existing large-text test just repeated one
email+card sentence 4000 times, so 27 of 28 PD types never ran at
scale. Replaces it with ~400,000 characters built from shuffled lines
of the new dataset — recall on it holds at 0.970, matching small-scale
numbers, and the NER cascade stays sub-second on the whole thing.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
