Two joinable datasets on the diseases named after people, from Wikipedia's list of eponymous diseases: 596 diseases and 878 namesake rows, one per person per disease exactly as the list credits them. Diseases carry their aliases, specialty, symptoms, usual onset and frequency from the medical infobox, the year first described mined from each article's own history, and the EPONYM'S FATE: Eponym_Status records whether the name still stands or has been Replaced by a descriptive term (165 have fallen: Abercrombie disease became amyloidosis), detected when the article now lives under a non-eponymous title, with a guard that any namesake surname surviving in the modern name keeps the eponym standing. The famous renamings carry a curated Renamed_Reason: Wegener's and Reiter's fell to their namesakes' Nazi-era records, Hallervorden-Spatz to the use of euthanasia victims, Asperger's folded into the autism spectrum. An Autoeponym flag marks the doctors who described the disease they themselves had. The namesake file gives the 585 with articles the full biographical treatment (birth and death dates, age at death, birthplace split per house style, marriage and children counts), gender, nationality, occupation and Namesake_Role classified from each article's lead: 512 physicians, 26 scientists, and the patients, Lou Gehrig above all, dead at 37 of the disease that carries his name. Age_When_Described derives from the birth year against the disease's first description: the median doctor described their disease at 42, exactly Alois Alzheimer's age in 1906. Diseases_In_List counts the 92 serial namesakes. Built with a 15-test acceptance suite covering join integrity, the surname-survival rule and known-fact anchors.
1,474 rows across 2 joinable files, with 32 columns in total: Disease, Also_Known_As, Named_After, Namesake_Count, Specialty, Symptoms, Usual_Onset, Frequency, Year_First_Described, Eponym_Status, Modern_Name, Renamed_Reason, Autoeponym, Disease_URL, Namesake, Disease, Namesake_Role, Gender, Birth_Date, Death_Date, Age_at_Death, Birth_Place, Birth_Country, Nationality, Occupation, Known_For, Year_Disease_Described, Age_When_Described, Number_of_Marriages, Number_of_Children, Diseases_In_List, Namesake_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.
Join the files on disease name (doctors.Disease = diseases.Disease); Namesake_Count on the diseases file says how many namesake rows to expect.
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.