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README.md
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dataset_info:
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features:
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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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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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# Player Reviews from Metacritic – Games, Scores & Comments
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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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### 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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## 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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### 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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## Dataset Structure
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All data is contained in a single table (CSV/JSONL) with one row per review.
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