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---
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. |