One row per person who was the youngest to do something, or whose talent arrived absurdly early: 327 hand-curated claims across 16 categories, from Mary, Queen of Scots (crowned at six days old) to the chess grandmasters minted at 12 and the youngest elected president at 43, the dataset's elder. The companion piece to Famous Firsts on the age axis: Firsts asks who got there before anyone else, Prodigies asks who got there before they should have been able to. There is no Wikipedia list for this; the spine is curated in the scraper and EVERY claim passes three gates against the person's own article before the row ships: the article must evidence youth (in words, or by its own birth date and feat year proving the person was 25 or under), must contain the claim's keywords, and the curated age must agree with the article's birth date within a year of birthday slack. That cross-check caught and corrected seven curation errors and one wrong-person link before ship; claims without an article to verify them were dropped. Each person carries the full biographical treatment (birth and death dates, age at death, marriage and children counts, birthplace as City, State inside the US and City elsewhere, gender from the claim where it names one, else pronoun analysis) plus the what-happened-next columns scraped from the article's Years-active row: career start and end years, a Still_Active flag (75 are still going), and Years_Active_After_Feat, how long the prodigy stayed in the game (Shirley Temple: 57 years). Median age at the feat is 14, against Famous Firsts' median of 37, and the two datasets join on exactly that axis. Built with a 14-test known-facts suite.
327 rows in one CSV file, with 18 columns in total: Name, Claim_to_Fame, Category, Year_of_Feat, Age_at_Feat, Gender, Birth_Date, Death_Date, Age_at_Death, Birth_Place, Birth_Country, Number_of_Marriages, Number_of_Children, Career_Start_Year, Career_End_Year, Still_Active, Years_Active_After_Feat, Person_URL.
It is built by programmatically scraping en.wikipedia.org, last pulled on 2026-09-11. Datasets are versioned; older versions stay downloadable.
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Yes. The exact Python scraper that built it is viewable on the dataset page by any signed-in member, so every number is reproducible.
Automated scraping leaves room for error and the underlying sources change over time, so no version is guaranteed accurate or complete. If a number matters, verify it against the original source.