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Kentucky Derby

Every running of the Kentucky Derby since 1875, one row per race: winner, jockey, trainer, owner, winning time (raw and in seconds), track condition, odds, field size and attendance from each year's article, the winning horse's pedigree (sire, dam, sex, color, foaled, where bred), a Triple Crown flag, and the jockey's age on race day.
152 rows 1 file last pulled 2026-08-29
Kentucky Derby 152 rows × 28 columns
YearRace_DateWinnerJockeyTrainerOwnerDistance_MilesWinning_TimeTime_SecondsTrack_ConditionWinning_OddsField_SizeAttendanceWinners_ShareMarginHorse_SexHorse_ColorSireDamFoaledBred_InTriple_CrownJockey_DOBJockey_AgeJockey_FromRace_URLHorse_URLJockey_URL

Questions and answers

What is the Kentucky Derby dataset?

Every running of the Kentucky Derby since 1875, one row per race: winner, jockey, trainer, owner, winning time (raw and in seconds), track condition, odds, field size and attendance from each year's article, the winning horse's pedigree (sire, dam, sex, color, foaled, where bred), a Triple Crown flag, and the jockey's age on race day.

How big is the Kentucky Derby dataset?

152 rows in one CSV file, with 28 columns in total: Year, Race_Date, Winner, Jockey, Trainer, Owner, Distance_Miles, Winning_Time, Time_Seconds, Track_Condition, Winning_Odds, Field_Size, Attendance, Winners_Share, Margin, Horse_Sex, Horse_Color, Sire, Dam, Foaled, Bred_In, Triple_Crown, Jockey_DOB, Jockey_Age, Jockey_From, Race_URL, Horse_URL, Jockey_URL.

Where does the data come from?

It is built by programmatically scraping en.wikipedia.org, last pulled on 2026-08-29. Datasets are versioned; older versions stay downloadable.

Is the dataset free to download?

Yes. Every CodeSights dataset is completely free as a CSV download; a free account is all it takes. Anyone can preview the data without signing in.

Can I see the code that built this dataset?

Yes. The exact Python scraper that built it is viewable on the dataset page by any signed-in member, so every number is reproducible.

Can the data contain errors?

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.

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