in drop_eval.py [0:0]
def _normalize_answer(text: str) -> str:
"""Lower text and remove punctuation, articles and extra whitespace."""
parts = [
_white_space_fix(_remove_articles(_normalize_number(_remove_punc(_lower(token)))))
for token in _tokenize(text)
]
parts = [part for part in parts if part.strip()]
normalized = " ".join(parts).strip()
return normalized