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Name 100 distinct real women. This is a knowledge and bookkeeping challenge: every row must be a person, and the three tagged subsets below must have the exact required sizes.
Across the 100 rows, include exactly:
The subsets may overlap. A woman who meets two or three definitions counts in every applicable subset, and the totals above still have to be exact. Do not avoid overlap; keep the flags accurate.
known_for description. Aim for breadth across countries, eras, and fields rather than a list of interchangeable celebrities.true flag, provide the required supporting field. For every false flag, its supporting field must be null.born and died are four-digit years or null. A historical entry must show a qualifying year in one of those two fields.true columns. The totals must be 15 controversial/disliked, 20 non-English-first-language, and 25 historical.Return raw JSON only: no Markdown fence, preamble, or commentary. Exactly this shape:
{
"women": [
{
"n": 1,
"name": "...",
"known_for": "...",
"controversial_or_disliked": false,
"controversy_reason": null,
"non_english_first_language": false,
"first_language": null,
"country_or_region": null,
"historical": false,
"born": null,
"died": null
}
]
}
n runs from 1 through 100 with no gaps.controversy_reason is a short neutral factual description when controversial_or_disliked is true; otherwise null.first_language and country_or_region are required when non_english_first_language is true; otherwise both are null.historical must agree with the stated years. Use null when a year is unknown or not supplied.