---
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.