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Video Game User Scores and Reviews
Product Reviews & Feedback
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About
Exploring user sentiment regarding the popular video game Pokémon Legends: Arceus following its release. This collection of user reviews and associated metadata, scraped from Metacritic, allows for detailed analysis of player reactions to the game's shift in formula, dynamic mechanics, and heavily debated visual style. Released in early 2022, this title was expected to revolutionise the long-running franchise. The data is suitable for those interested in video game criticism, sentiment analysis, and the impact of graphical quality on player reception in major franchises.
Columns
- review: A text column containing the full user review submitted by the Metacritic user.
- date: The specific date on which the user review was posted.
- score: The numeric score assigned by the user to the game, measured on a scale from 0 to 10.
- helpful: The count of other users who marked this specific review as helpful.
- number_of_reviews: The total count of other game reviews previously submitted by this specific reviewer.
- number_of_ratings: The total count of other game ratings previously submitted by this specific reviewer.
- average_user_score: The mean score provided by this user across all their previously submitted ratings.
Distribution
The file is delivered in CSV format (
arceus_reviews.csv). It contains 7 columns and 1067 individual records or rows. All columns appear to be valid with no mismatched or missing values detected across the full row count. The file size is approximately 721.32 kB.Usage
This dataset is ideal for several applications, including conducting sentiment analysis on user-generated content, exploring correlations between user review length and assigned score, and tracking the evolution of public opinion over the initial release period. Researchers can utilise the data for comparative studies on video game metrics or for testing machine learning models focused on natural language processing of review text.
Coverage
The reviews were collected from the Metacritic platform, representing the opinions of users worldwide who posted between January 29, 2022, and March 1, 2022. The data capture occurred on March 19, 2022. The user base represents those who actively use and post scores and reviews on the Metacritic website.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: To build and train NLP models using sentiment analysis techniques on long-form text.
- Market Researchers: To evaluate consumer reaction to a major change in a long-standing product formula.
- Academics/Students: To study trends in user scores and correlate them with metadata like reviewer history.
- Game Developers: To understand specific user complaints, particularly concerning game graphics and new mechanics.
Dataset Name Suggestions
- Metacritic Reviews for Pokémon Legends: Arceus (2022)
- PLA User Sentiment Data
- Pokémon Legends: Arceus Community Feedback
- Video Game User Scores and Reviews
Attributes
Original Data Source: Video Game User Scores and Reviews
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