4 datasets found
  1. Video Game Ratings Dataset

    • kaggle.com
    Updated May 23, 2024
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    AP\ (2024). Video Game Ratings Dataset [Dataset]. https://www.kaggle.com/datasets/dem0nking/video-game-ratings-dataset/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 23, 2024
    Dataset provided by
    Kaggle
    Authors
    AP\
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset provides detailed information about 120 different video games. Each entry in the dataset represents a video game with the following attributes:

    • Title: The name of the video game.
    • Genre: The category or type of gameplay, such as Action-Adventure, First-Person Shooter, RPG, etc.
    • Platform: The gaming system(s) on which the game can be played, such as PC, PlayStation, Xbox, Switch, or Multi--platform.
    • ReleaseYear: The year in which the game was released.
    • NumPlayers: The maximum number of players that can play the game simultaneously.
    • AvgRating: The average rating of the game, typically on a scale from 0 to 10
  2. o

    Baldur's Gate 3 Player Feedback

    • opendatabay.com
    .undefined
    Updated Jul 6, 2025
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    Datasimple (2025). Baldur's Gate 3 Player Feedback [Dataset]. https://www.opendatabay.com/data/ai-ml/82682d6b-f029-48ac-acb1-ad6a01df71a2
    Explore at:
    .undefinedAvailable download formats
    Dataset updated
    Jul 6, 2025
    Dataset authored and provided by
    Datasimple
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Entertainment & Media Consumption
    Description

    This dataset provides a collection of Steam user reviews for Baldur's Gate 3, updated up to 14 December 2023. It contains approximately 309,103 reviews, encompassing both the early access and full release versions of the game. All reviews are in English. The data was obtained through Steam's public API, as outlined in their Steamworks Reviews documentation. Baldur's Gate 3, a critically acclaimed 2023 role-playing video game developed by Belgian studio Larian Studios, is the third main installment in the Baldur's Gate series, based on the Dungeons & Dragons tabletop system. It initially launched in early access in October 2020 for macOS and Windows, with its full release for Windows in August 2023, followed by releases for PlayStation 5, macOS, and Xbox Series X/S later that year. The game has been lauded for its gameplay, narrative, and production quality, and has won multiple Game of the Year awards.

    • ### Columns
    • recommendationid: A unique identifier for each review.
    • language: The user-indicated language of the review.
    • review: The text content of the written review.
    • timestamp_created: The Unix timestamp indicating when the review was initially created.
    • timestamp_updated: The Unix timestamp indicating when the review was last modified.
    • voted_up: A boolean value (true or false) indicating if the review was a positive recommendation.
    • votes_up: The number of users who found this review helpful.
    • votes_funny: The number of users who found this review amusing.
    • weighted_vote_score: A numerical score representing the helpfulness of the review.
    • written_during_early_access: A boolean value (true or false) indicating if the user posted the review during the game's Early Access period.

    • Distribution

      This dataset is provided in CSV format and is approximately 87.16 MB in size. It contains around 309,103 individual user reviews of Baldur's Gate 3. The voted_up column shows that roughly 97% (298,932) of reviews are positive recommendations, while 3% (10,171) are negative. Similarly, about 16% (48,048) of reviews were written during the early access period, with 84% (261,055) written after the full release.

    • Usage

      This dataset is ideal for various applications and use cases, including:

    • Sentiment analysis of video game reviews.

    • Trend analysis of player feedback over time, especially comparing early access to full release.

    • Gaining insights into player perception of game mechanics, narrative, and characters.

    • Identifying key features praised or criticised by players.

    • Developing and testing Natural Language Processing (NLP) models on game review text.

    • Market research into the reception of highly anticipated game titles.

    • Coverage

      The dataset's coverage is global, comprising reviews from Steam users worldwide. The reviews span a significant time range, from the game's early access launch in October 2020 up to its update date of 14 December 2023. All reviews included in the dataset are in English. There is no specific demographic breakdown provided for the users, but they represent the general Steam user base for Baldur's Gate 3.

    • License

      CC0

    • Who Can Use It

    • Game developers to understand player feedback and inform future game design.

    • Market researchers analysing consumer sentiment in the gaming industry.

    • AI and Machine Learning engineers for training and evaluating text processing models.

    • Data analysts and scientists exploring user-generated content.

    • Academics and researchers studying game studies, online communities, or digital media consumption.

    • Gaming journalists or enthusiasts interested in public opinion and game reception.

    • Dataset Name Suggestions

    • Baldur's Gate 3 Steam Reviews (2020-2023)

    • BG3 User Review Data

    • Baldur's Gate 3 Player Feedback

    • Steam Reviews: Baldur's Gate 3 Early Access & Full Release

    • Attributes

      Original Data Source: Baldur's Gate 3 Steam Reviews

  3. Video Game Sales Dataset Updated -Extra Feat

    • kaggle.com
    Updated Feb 12, 2023
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    Ibrahim Muhammad Naeem (2023). Video Game Sales Dataset Updated -Extra Feat [Dataset]. http://doi.org/10.34740/kaggle/dsv/4984906
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 12, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ibrahim Muhammad Naeem
    License

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

    Description

    Video Games Sales Dataset

    About Dataset

    This Dataset provides up-to-date information on the sales performance and popularity of various video games worldwide. The data includes the name, platform, year of release, genre, publisher, and sales in North America, Europe, Japan, and other regions. It also features scores and ratings from both critics and users, including average critic score, number of critics reviewed, average user score, number of users reviewed, developer, and rating. This comprehensive and essential dataset offers valuable insights into the global video game market and is a must-have tool for gamers, industry professionals, and market researchers. by source

    More Datasets

    For more datasets, click here.

    Columns
    Column NameDescription
    NameThe name of the video game.
    PlatformThe platform on which the game was released, such as PlayStation, Xbox, Nintendo, etc.
    Year of ReleaseThe year in which the game was released.
    GenreThe genre of the video game, such as action, adventure, sports, etc.
    PublisherThe company responsible for publishing the game.
    NA SalesThe sales of the game in North America.
    EU SalesThe sales of the game in Europe.
    JP SalesThe sales of the game in Japan.
    Other SalesThe sales of the game in other regions.
    Global SalesThe total sales of the game across the world.
    Critic ScoreThe average score given to the game by professional critics.
    Critic CountThe number of critics who reviewed the game.
    User ScoreThe average score given to the game by users.
    User CountThe number of users who reviewed the game.
    DeveloperThe company responsible for developing the game.
    RatingThe rating assigned to the game by organizations such as the ESRB or PEGI.
    Research Ideas / Data Use
    • Market Analysis: The video game sales data can be used to analyze market trends and identify popular genres, platforms, and publishers. This can be useful for industry professionals to make informed decisions about game development and marketing strategies.
    • Sales Forecasting: The sales data can be used to forecast future trends and predict the success of upcoming games.
    • Consumer Insights: The data can be analyzed to gain insights into consumer preferences and buying habits, which can be used to tailor marketing strategies and improve customer satisfaction.
    • Comparison of Competitors: The data can be used to compare the sales performance of competing video games and identify market leaders.
    • Gaming Industry Performance: The data can be used to evaluate the overall performance of the gaming industry and track its growth over time.
    • Gaming Popularity by Region: The data can be analyzed to determine which regions are the largest markets for video games and which genres are most popular in each region.
    • Impact of Reviews: The data can be used to study the impact of critic and user reviews on sales and the relationship between scores and sales performance.
    • Gaming Trends over Time: The data can be used to identify trends in the gaming industry over time and to track the evolution of the market.
    • Gaming Demographics: The data can be used to analyze the demographic makeup of the gaming audience, including age, gender, and income.
    • Impact of Gaming Industry on the Economy: The data can be used to evaluate the impact of the gaming industry on the economy and to assess its contribution to job creation and economic growth.
    Acknowledgements

    if this dataset was used in your work or studies, please credit the original source Please Credit ↑ ⠀⠀⠀

  4. 🪖 War Thunder Vehicle Stats

    • kaggle.com
    Updated Jun 20, 2024
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    mexwell (2024). 🪖 War Thunder Vehicle Stats [Dataset]. https://www.kaggle.com/datasets/mexwell/war-thunder-vehicle-stats
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Kaggle
    Authors
    mexwell
    Description

    War Thunder

    War Thunder is a comprehensive, free-to-play multiplayer vehicular combat game developed by Gaijin Entertainment. Released in 2012, the game spans multiple platforms including PC, PlayStation, and Xbox. War Thunder offers players a rich and immersive experience by allowing them to engage in realistic, historically accurate battles using a wide array of vehicles from World War II and the Cold War era. The game features aircraft, ground vehicles, and naval units, providing a diverse and extensive selection for players to master. With detailed vehicle models, accurate physics, and extensive maps, War Thunder delivers a highly engaging and dynamic combat experience.

    Overview

    The War Thunder vehicle stats dataset on Kaggle is a comprehensive collection of information about the various vehicles available in the game. This dataset includes detailed statistics and attributes for a variety of vehicles, such as tanks, aircraft, and naval units.

    The unofficial War Thunder API was used for generating this dataset.

    Please check the authors work on his github.

    Data

    • general_vehicles: Summaries general statistics about the vehicles
    • specific_vehicles: Holds detailed stats about a vehicle

    Acknowlegement

    Foto von Kevin Schmid auf Unsplash

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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Click to copy link
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Close
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AP\ (2024). Video Game Ratings Dataset [Dataset]. https://www.kaggle.com/datasets/dem0nking/video-game-ratings-dataset/data
Organization logo

Video Game Ratings Dataset

Level Up! A Treasure Trove of Epic Video Games from 1984 to 2025

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 23, 2024
Dataset provided by
Kaggle
Authors
AP\
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Description

This dataset provides detailed information about 120 different video games. Each entry in the dataset represents a video game with the following attributes:

  • Title: The name of the video game.
  • Genre: The category or type of gameplay, such as Action-Adventure, First-Person Shooter, RPG, etc.
  • Platform: The gaming system(s) on which the game can be played, such as PC, PlayStation, Xbox, Switch, or Multi--platform.
  • ReleaseYear: The year in which the game was released.
  • NumPlayers: The maximum number of players that can play the game simultaneously.
  • AvgRating: The average rating of the game, typically on a scale from 0 to 10
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