Context

The dataset contains over 41 million cleaned and preprocessed user recommendations (reviews) from a Steam Store - a leading online platform for purchasing and downloading video games, DLC, and other gaming-related content. Additionally, it contains detailed information about games and add-ons.

Content

The dataset consists of three main entities:

• games.csv - a table of games (or add-ons) information on ratings, pricing in US dollars $, release date, etc. A piece of extra non-tabular details on games, such as descriptions and tags, is in a metadata file;
• users.csv - a table of user profiles' public information: the number of purchased products and reviews published;
• recommendations.csv - a table of user reviews: whether the user recommends a product. The table represents a many-many relation between a game entity and a user entity.

The dataset does not contain any personal information about users on a Steam Platform. A preprocessing pipeline anonymized all user IDs. All collected data is accessible to a member of the general public.

Acknowledgements

The dataset was collected from Steam Official Store. All rights on the dataset thumbnail image belong to the Valve Corporation.

Inspiration

Use this dataset to practice building a game recommendation system or performing an Exploratory Data Analysis on products from a Steam Store.