Datasets:
FronkonGames
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Update README.md
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README.md
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---
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language:
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- en
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license: cc-by-4.0
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task_categories:
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- text-generation
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- text2text-generation
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pretty_name: Steam Games Dataset
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tags:
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- games
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- steam
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- json
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- csv
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- video games
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- name: Release date
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dtype: string
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- name: Estimated owners
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dtype: string
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- name: Peak CCU
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dtype: int64
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- name: Required age
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dtype: int64
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- name: Price
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dtype: float64
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- name: DLC count
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dtype: int64
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- name: About the game
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dtype: string
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- name: Supported languages
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dtype: string
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- name: Full audio languages
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dtype: string
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- name: Reviews
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dtype: string
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- name: Header image
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dtype: string
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- name: Website
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dtype: string
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- name: Support url
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dtype: string
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- name: Support email
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dtype: string
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- name: Windows
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dtype: bool
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- name: Mac
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dtype: bool
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- name: Linux
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dtype: bool
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- name: Metacritic score
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dtype: int64
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- name: Metacritic url
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dtype: string
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- name: User score
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dtype: int64
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- name: Positive
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dtype: int64
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- name: Negative
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dtype: int64
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- name: Score rank
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dtype: float64
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- name: Achievements
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dtype: int64
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- name: Recommendations
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dtype: int64
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- name: Notes
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dtype: string
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- name: Average playtime forever
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dtype: int64
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- name: Average playtime two weeks
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dtype: int64
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- name: Median playtime forever
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dtype: int64
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- name: Median playtime two weeks
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dtype: int64
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- name: Developers
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dtype: string
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- name: Publishers
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dtype: string
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- name: Categories
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dtype: string
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- name: Genres
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dtype: string
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- name: Tags
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dtype: string
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- name: Screenshots
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dtype: string
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- name: Movies
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dtype: string
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splits:
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- name: train
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num_bytes: 259794198
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num_examples: 83560
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download_size: 123245205
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dataset_size: 259794198
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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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<p align="center"><img src="images/banner.png"/></p>
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# Overview
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Information of **more than 83,000 games** published on Steam.
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This dataset has been created with **[this code (MIT)](https://github.com/FronkonGames/Steam-Games-Scraper)** and use the API provided by _Steam_, the largest gaming platform on PC. Data is also collected from _Steam Spy_.
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# Example
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Here is a simple example of how to parse _json_:
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```
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import os
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import json
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dataset = {}
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if os.path.exists('games.json'):
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with open('games.json', 'r', encoding='utf-8') as fin:
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text = fin.read()
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if len(text) > 0:
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dataset = json.loads(text)
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for app in dataset:
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appID = app # AppID, unique identifier for each app (string).
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game = dataset[app]
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name = game['name'] # Game name (string).
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releaseDate = game['release_date'] # Release date (string).
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estimatedOwners = game['estimated_owners'] # Estimated owners (string, e.g.: "0 - 20000").
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peakCCU = game['peak_ccu'] # Number of concurrent users, yesterday (int).
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required_age = game['required_age'] # Age required to play, 0 if it is for all audiences (int).
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price = game['price'] # Price in USD, 0.0 if its free (float).
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dlcCount = game['dlc_count'] # Number of DLCs, 0 if you have none (int).
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longDesc = game['detailed_description'] # Detailed description of the game (string).
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shortDesc = game['short_description'] # Brief description of the game,
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# does not contain HTML tags (string).
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languages = game['supported_languages'] # Comma-separated enumeration of supporting languages.
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fullAudioLanguages = game['full_audio_languages'] # Comma-separated enumeration of languages with audio support.
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reviews = game['reviews'] #
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headerImage = game['header_image'] # Header image URL in the store (string).
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website = game['website'] # Game website (string).
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supportWeb = game['support_url'] # Game support URL (string).
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supportEmail = game['support_email'] # Game support email (string).
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supportWindows = game['windows'] # Does it support Windows? (bool).
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supportMac = game['mac'] # Does it support Mac? (bool).
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supportLinux = game['linux'] # Does it support Linux? (bool).
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metacriticScore = game['metacritic_score'] # Metacritic score, 0 if it has none (int).
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metacriticURL = game['metacritic_url'] # Metacritic review URL (string).
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userScore = game['user_score'] # Users score, 0 if it has none (int).
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positive = game['positive'] # Positive votes (int).
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negative = game['negative'] # Negative votes (int).
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scoreRank = game['score_rank'] # Score rank of the game based on user reviews (string).
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achievements = game['achievements'] # Number of achievements, 0 if it has none (int).
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recommens = game['recommendations'] # User recommendations, 0 if it has none (int).
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notes = game['notes'] # Extra information about the game content (string).
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averagePlaytime = game['average_playtime_forever'] # Average playtime since March 2009, in minutes (int).
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averageplaytime2W = game['average_playtime_2weeks'] # Average playtime in the last two weeks, in minutes (int).
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medianPlaytime = game['median_playtime_forever'] # Median playtime since March 2009, in minutes (int).
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medianPlaytime2W = game['median_playtime_2weeks'] # Median playtime in the last two weeks, in minutes (int).
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packages = game['packages'] # Available packages.
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for pack in packages:
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title = pack['title'] # Package title (string).
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packDesc = pack['description'] # Package description (string).
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subs = pack['subs'] # Subpackages.
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for sub in subs:
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text = sub['text'] # Subpackage title (string).
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subDesc = sub['description'] # Subpackage description (string).
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subPrice = sub['price'] # Subpackage price in USD (float).
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developers = game['developers'] # Game developers.
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for developer in developers:
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developerName = developer # Developer name (string).
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publishers = game['publishers'] # Game publishers.
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for publisher in publishers:
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publisherName = publisher # Publisher name (string).
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categories = game['categories'] # Game categories.
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for category in categories:
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categoryName = category # Category name (string).
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genres = game['genres'] # Game genres.
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for gender in genres:
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genderName = gender # Gender name (string).
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screenshots = game['scrennshots'] # Game screenshots.
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for screenshot in screenshots:
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scrennshotsURL = screenshot # Game screenshot URL (string).
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movies = game['movies'] # Game movies.
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for movie in movies:
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movieURL = movie # Game movie URL (string).
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tags = game['tags'] # Tags.
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for tag in tags:
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tagKey = tag # Tag key (string, int).
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```
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---
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license: cc-by-4.0
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language:
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- en
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tags:
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- games
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- steam
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- json
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- csv
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- video games
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task_categories:
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- text-generation
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- text2text-generation
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pretty_name: Steam Games Dataset
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size_categories:
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- 10K<n<100K
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---
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<p align="center"><img src="images/banner.png"/></p>
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# Overview
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Information of **more than 83,000 games** published on Steam. Maintained by **[Fronkon Games](https://github.com/FronkonGames)**.
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This dataset has been created with **[this code (MIT)](https://github.com/FronkonGames/Steam-Games-Scraper)** and use the API provided by _Steam_, the largest gaming platform on PC. Data is also collected from _Steam Spy_.
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Only published games, _no DLCs, episodes, music, videos, etc_.
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