Datasets:

Wada1
/

Metacritic_Games_Reviews_Dataset

language:
  - en
pretty_name: Player Reviews from Metacritic (Game Reviews Dataset)
tags:
  - Review
  - Sentiment
  - Game
  - Author
  - Date
  - Score
  - Spoiler
  - Platform
license: cc-by-4.0
task_categories:
  - text-classification
dataset_info:
  features:
    - name: Game
      dtype: string
    - name: Platform
      dtype: string
    - name: Score
      dtype: int32
    - name: Review
      dtype: string
    - name: Date
      dtype: string
    - name: Author
      dtype: string
    - name: Sentiment
      dtype: string
    - name: Spoiler
      dtype: bool
  splits:
    - name: train
      num_examples: 260768

Player Reviews from Metacritic – Games, Scores & Comments

Dataset Description

This dataset contains user-reviews scraped from the publicly-accessible pages of Metacritic (metacritic.com).
Each row corresponds to one review and includes the following fields:

game_title: Title of the video game
platform: Platform on which the game was reviewed (e.g., PS4, Xbox One, PC)
review_score: Numerical score given by the user (out of 10)
review_text: Full textual review (user’s written comment)
review_date: Date on which the review was posted
review_Sentiment: Sentiment of the review (positive , negative, neutral)

Source & Collection

Data were collected via automated scraping of Metacritic’s user-review pages for video games
Review aliases have been retained in anonymised form (or removed where appropriate) to protect user privacy.

Uses

Direct Use

This dataset can be used for:

Sentiment analysis of player reviews (positive/negative classification)
Correlation analysis between review scores and review text length or sentiment
Trend-analysis of platforms/game genres over time
Training/testing NLP models for review-classification, summarisation, or topic modelling

Out-of-Scope Use

This dataset should not be used for tracking individual users or revealing personal identities.
Because the reviews are self-selected users of Metacritic, conclusions should not be taken as representative of all players.
Commercial redistribution or selling of the raw review-text without consent is not recommended unless licensed accordingly.

Dataset Structure

All data is contained in a single table (CSV/JSONL) with one row per review.