6 datasets found
  1. Leading Formula 1 drivers 1950-2025, by number of pole positions

    • statista.com
    Updated Apr 25, 2014
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    Statista (2014). Leading Formula 1 drivers 1950-2025, by number of pole positions [Dataset]. https://www.statista.com/statistics/262985/top-formula-1-drivers-based-on-the-number-of-pole-positions/
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    Dataset updated
    Apr 25, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of 2025, Lewis Hamilton had more pole positions than any other F1 driver, with a total of over 100. Meanwhile, Michael Schumacher ranked second with 68 poles.

  2. Leading Formula 1 constructors 1950-2025, by number of pole positions

    • statista.com
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    Statista, Leading Formula 1 constructors 1950-2025, by number of pole positions [Dataset]. https://www.statista.com/statistics/263089/top-formula-1-manufacturers-based-on-the-number-of-pole-positions/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of 2025, Ferrari had the most pole positions in the history of F1, with a total of over 250. Meanwhile, McLaren and Mercedes ranked second and third respectively.

  3. Comprehensive Formula 1 Dataset (2020-2025)

    • kaggle.com
    Updated Jul 27, 2025
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    V SHREE KAMALESH (2025). Comprehensive Formula 1 Dataset (2020-2025) [Dataset]. https://www.kaggle.com/datasets/vshreekamalesh/comprehensive-formula-1-dataset-2020-2025
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 27, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    V SHREE KAMALESH
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    Formula 1 Comprehensive Dataset (2020-2025)

    Dataset Description This comprehensive Formula 1 dataset contains detailed racing data spanning from 2020 to 2025, including race results, qualifying sessions, championship standings, circuit information, and historical driver statistics.

    Perfect for:

    ๐Ÿ“Š F1 performance analysis

    ๐Ÿค– Machine learning projects

    ๐Ÿ“ˆ Data visualization

    ๐Ÿ† Championship predictions

    ๐Ÿ“‹ Racing statistics research

    ๐Ÿ“ Files Included 1. f1_race_results_2020_2025.csv (53 entries) Race winners and results from Grand Prix weekends

    Date, Grand Prix name, race winner

    Constructor, nationality, grid position

    Race time, fastest lap time, points scored

    1. f1_qualifying_results_2020_2024.csv (820 entries) Qualifying session results with timing data

    Q1, Q2, Q3 session times

    Grid positions, laps completed

    Driver and constructor information

    1. f1_driver_standings_progressive.csv (600 entries) Championship standings progression throughout seasons

    Points accumulation over race weekends

    Wins, podiums, pole positions tracking

    Season-long championship battle data

    1. f1_constructor_standings_progressive.csv (360 entries) Team championship standings evolution

    Constructor points and wins

    Team performance metrics

    Manufacturer rivalry data

    1. f1_circuits_technical_data.csv (24 entries) Technical specifications for all F1 circuits

    Track length, number of turns

    Lap records and record holders

    Circuit designers and first F1 usage

    1. f1_historical_driver_statistics.csv (30 entries) All-time career statistics for F1 drivers

    Career wins, poles, podiums

    Racing entries and achievements

    Active and retired driver records

    1. f1_comprehensive_dataset_2020_2025.csv (432 entries) MAIN DATASET - Combined data from all sources

    Multiple data types in one file

    Ready for immediate analysis

    Comprehensive F1 information hub

    ๐Ÿ”ง Data Features Clean & Structured: All data professionally format

  4. F1 Archive 1950-2022

    • kaggle.com
    zip
    Updated Jul 25, 2022
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    Rahil Parikh (2022). F1 Archive 1950-2022 [Dataset]. https://www.kaggle.com/datasets/rprkh15/f1-race-and-qualifying-data
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    zip(1760769 bytes)Available download formats
    Dataset updated
    Jul 25, 2022
    Authors
    Rahil Parikh
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Formula One is the highest class of international racing for open-wheel single-seater racing cars sanctioned by the Fรฉdรฉration Internationale de l'Automobile (FIA). Ever since its inaugural season in 1950, Formula1 has been regarded as the pinnacle of motorsport.

    Content

    This dataset contains detailed information about qualifying and race results for all the tracks over the course of multiple seasons. There is a separate directory for each season. There are 2 sub-directories for each season, namely: Qualifying Results and Race Results. The Race Results directory contains an overall_race_results.csv file which summarizes the race results throughout the entire season. It also contains multiple .csv files for the results of each race in the season. The Qualifying Results directory contains multiple .csv files for the qualifying results before the start of each race.

    Note

    For the 1982 season and before the qualifying results contain only 1 entry in the file which is that of the polesitter. The lap times of the other drivers were not accounted for, and on the official website there is only 1 entry under the qualifying results.

    Inspiration

    F1 is one of my favorite sports and I almost never miss a race ๐Ÿ˜„

    The motivation behind creating this dataset was to learn more about web scraping and try to perform a statistical analysis of the data. Some of the things you could do with the entire dataset are as follows: - Identify the driver with the most poles - Compare qualifying times of different drivers (championship contenders, team-mates, etc) - Determine how often a particular driver out-qualifies his team-mate - Compare qualifying lap times of a race from previous seasons - Identify the driver with the most number of wins at a particular track - Analyze how the championship battle unfolded based on the number of points scored by the drivers (specially interesting for the 2021 f1 season ๐Ÿ‘€) - Identify drivers with the highest number of wins, podiums, DNFs, etc - Compare the average lap times of different tracks to identify the slowest and fastest tracks on the calendar - Compare the number of laps for each race in the season (Belgium 2021 being the clear winner ๐Ÿ˜‚) - Find out who won the Driver's Championship based on the total number of points - Find out who won the Constructor's Championship based on the total number of points for each team

    Some Common F1 Terms You Might Come Across

    • DNF: Did Not Finish. Commonly used nomenclature for drivers that crashed/failed to complete the entire race
    • DNQ: Did Not Qualify. Eliminated missing values from the qualifying datasets by introducing this abbreviation for drivers who failed to qualify.
    • NC: Not Confirmed. For drivers that DNF the term NC is used in the Position column
    • DQ: Disqualified. Generally drivers are disqualified from races due to technical infringements or a breach of sporting regulations (Example: Sebastian Vettel was disqualified from the 2021 Hungarian Grand Prix due to fuel irregularites and stripped of all the points he earned from finishing the race in P2)

    Future Work

    As I collect more data for the previous seasons, I will create new versions for the dataset. The goal with this dataset is to create an archive of qualifying and race data from 1950-2021. The dataset will also be updated when the 2022 season commences.

  5. F1 Schedule 2022

    • kaggle.com
    zip
    Updated Dec 19, 2022
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    Vivo Vinco (2022). F1 Schedule 2022 [Dataset]. https://www.kaggle.com/vivovinco/f1-schedule-2022
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    zip(3609 bytes)Available download formats
    Dataset updated
    Dec 19, 2022
    Authors
    Vivo Vinco
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Context

    This dataset contains details of 2022 F1 schedule. The dataset will be updated after every race.

    Content

    +23 rows and 13 columns. Columns' description are listed below.

    • Round : Round number
    • Circuit : Name of the circuit
    • Location : Location of the circuit
    • Date : Race date
    • Circuit Length (km) : Length of the circuit in kilometers
    • Laps : Number of laps
    • Race Length (km) : Race length in kilometers
    • Most Wins (driver - times) : Driver with most wins at the circuit
    • 2021 Pole Position : Pole position starter in 2021
    • 2021 Winner : P1 finisher in 2021
    • 2021 Second Place : P2 finisher in 2021
    • 2021 Third Place : P3 finisher in 2021
    • 2021 Fastest Lap (driver - time) : Fastest driver and his lap time in 2021

    Acknowledgements

    Data from Wikipedia. Image from Marca.

    If you're reading this, please upvote.

  6. Formula1 F1 Pure Engine Audio Dataset

    • kaggle.com
    zip
    Updated Oct 3, 2024
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    Govinda Madhava (2024). Formula1 F1 Pure Engine Audio Dataset [Dataset]. https://www.kaggle.com/datasets/govindamadhava/formula1-f1-pure-engine-audio-dataset-2012-2024
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    zip(5706490455 bytes)Available download formats
    Dataset updated
    Oct 3, 2024
    Authors
    Govinda Madhava
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    This is a comprehensive audio dataset containing Pole Lap Engine audios of Formula 1 cars from 2012-2024. If you are interested in accessing a larger 500gb dataset with driver, track and team specific race audios, feel free to contact me : gmbs.madhava001@gmail.com

    The aim of this dataset is to provide high-quality audio for all those motor-heads out there, interested in Audio Signal Processing. I also have the idea to expand the scope of this dataset with many other genres of motorsports including but not limited to MotoGP, Rally Racing, LeMan Endurance Racing and engine audios of other sports cars & bikes. The dataset currently has 9.33 hrs of audio data (6.37 gb)

    This dataset comprises of publicly available high-quality F1 Engine audios in wav format sourced from YouTube (Official F1 channel and a few other videos). From the Hot Lap Qualifying pole position Onboard videos(mostly) posted on the YT channel, the 1-lap engine audios are organised into sub-directories year-wise, starting from 2012 (F1_12) to 2024 (F1_24). A few more audios are categorised into RetroOnboards which mostly contains all audios pre-2012 era, including the ferocious V10s, the McLaren Ayrton Senna onboard driven by 4X World Champion Sebastian Vettel etc.

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Statista (2014). Leading Formula 1 drivers 1950-2025, by number of pole positions [Dataset]. https://www.statista.com/statistics/262985/top-formula-1-drivers-based-on-the-number-of-pole-positions/
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Leading Formula 1 drivers 1950-2025, by number of pole positions

Explore at:
Dataset updated
Apr 25, 2014
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

As of 2025, Lewis Hamilton had more pole positions than any other F1 driver, with a total of over 100. Meanwhile, Michael Schumacher ranked second with 68 poles.

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