MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset provides detailed information about 120 different video games. Each entry in the dataset represents a video game with the following attributes:
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
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.
true
or false
) indicating if the review was a positive recommendation.written_during_early_access: A boolean value (true
or false
) indicating if the user posted the review during the game's Early Access period.
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.
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.
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.
CC0
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.
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
Original Data Source: Baldur's Gate 3 Steam Reviews
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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
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Column Name | Description |
---|---|
Name | The name of the video game. |
Platform | The platform on which the game was released, such as PlayStation, Xbox, Nintendo, etc. |
Year of Release | The year in which the game was released. |
Genre | The genre of the video game, such as action, adventure, sports, etc. |
Publisher | The company responsible for publishing the game. |
NA Sales | The sales of the game in North America. |
EU Sales | The sales of the game in Europe. |
JP Sales | The sales of the game in Japan. |
Other Sales | The sales of the game in other regions. |
Global Sales | The total sales of the game across the world. |
Critic Score | The average score given to the game by professional critics. |
Critic Count | The number of critics who reviewed the game. |
User Score | The average score given to the game by users. |
User Count | The number of users who reviewed the game. |
Developer | The company responsible for developing the game. |
Rating | The rating assigned to the game by organizations such as the ESRB or PEGI. |
- 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.
if this dataset was used in your work or studies, please credit the original source Please Credit ↑ ⠀⠀⠀
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.
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.
Foto von Kevin Schmid auf Unsplash
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MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset provides detailed information about 120 different video games. Each entry in the dataset represents a video game with the following attributes: