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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  dataset_info:
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  features:
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- - name: Review
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- dtype: string
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- - name: Score
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- dtype: int64
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- - name: Author
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- dtype: string
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- - name: Game
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- dtype: string
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- - name: Date
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- dtype: string
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- - name: Platform
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- dtype: string
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- - name: Sentiment
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- dtype: string
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- - name: Spoiler
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- dtype: bool
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- splits:
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- - name: train
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- num_bytes: 156411551
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- num_examples: 260768
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- download_size: 86605797
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- dataset_size: 156411551
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ pretty_name: "Player Reviews from Metacritic (Game Reviews Dataset)"
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+ tags:
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+ - Review
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+ - Sentiment
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+ - Game
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+ - Author
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+ - Date
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+ - Score
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+ - Spoiler
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+ - Platform
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+ license: "cc-by-4.0"
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+ task_categories:
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+ - text_classification
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+ - sentiment_analysis
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  dataset_info:
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  features:
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+ - name: Game
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+ dtype: string
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+ - name: Platform
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+ dtype: string
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+ - name: Score
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+ dtype: int32
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+ - name: Review
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+ dtype: string
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+ - name: Date
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+ dtype: string
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+ - name: Author
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+ dtype: string
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+ - name: Sentiment
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+ dtype: string
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+ - name: Spoiler
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+ dtype: Boolean
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Player Reviews from Metacritic – Games, Scores & Comments
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+
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+ ## Dataset Description
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+ This dataset contains user-reviews scraped from the publicly-accessible pages of Metacritic (metacritic.com).
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+ Each row corresponds to one review and includes the following fields:
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+ - **game_title**: Title of the video game
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+ - **platform**: Platform on which the game was reviewed (e.g., PS4, Xbox One, PC)
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+ - **review_score**: Numerical score given by the user (out of 10)
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+ - **review_text**: Full textual review (user’s written comment)
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+ - **review_date**: Date on which the review was posted
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+ - **review_Sentiment**: Sentiment of the review (positive , negative, neutral)
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+
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+ ### Source & Collection
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+ - Data were collected via automated scraping of Metacritic’s user-review pages for video games
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+ - Review aliases have been retained in anonymised form (or removed where appropriate) to protect user privacy.
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+
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+ ## Uses
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+ ### Direct Use
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+ This dataset can be used for:
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+ - Sentiment analysis of player reviews (positive/negative classification)
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+ - Correlation analysis between review scores and review text length or sentiment
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+ - Trend-analysis of platforms/game genres over time
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+ - Training/testing NLP models for review-classification, summarisation, or topic modelling
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+
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+ ### Out-of-Scope Use
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+ - This dataset **should not** be used for tracking individual users or revealing personal identities.
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+ - Because the reviews are self-selected users of Metacritic, conclusions should **not** be taken as representative of *all* players.
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+ - Commercial redistribution or selling of the raw review-text without consent is **not recommended** unless licensed accordingly.
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+
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+ ## Dataset Structure
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+ All data is contained in a single table (CSV/JSONL) with one row per review.