Dataset Open Access

Game Walkthrough Corpus (GWTC)

Tiepmar, Jochen; Burghardt, Manuel


Dublin Core Export

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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Starke, Paul</dc:contributor>
  <dc:contributor>Karwasz, Tim</dc:contributor>
  <dc:creator>Tiepmar, Jochen</dc:creator>
  <dc:creator>Burghardt, Manuel</dc:creator>
  <dc:date>2021-02-12</dc:date>
  <dc:description>Motivation

The Game Walkthrough Corpus (GWTC) contains 12,295 unique
walkthrough documents that cover a total of 6,117 games.  For each game walkthrough,
it provides frequencies of unigrams and bigrams, treating it as a bag of words. In
addition, it provides word frequencies on the sentence level. Furthermore, the GWTC
contains a number of game-related metadata, including title, publisher, developer, year,
genre, etc. All the language statistics and metadata are stored in separate plain text files
and can be referenced by means of uniform resource names (URN). These URNs also
can be used to derive any combination of statistics and metadata. Researchers, for
instance, can investigate the most frequent unigrams for games in the “Adventure”
genre. This way, the GWTC can be reused in various ways, for different kinds of
research questions on the topic of gaming language, which may be summarized as
“distant playing”.

 

Copyright Information

Game walkthroughs are protected by individual copyright notices that are often very strict. That is why this data set does not include the documents but instead various data formats that are useful for text mining and distant reading methods while not allowing to recreate the documents. It is highly unlikely that even a single sentence can be reconstructed from the published data.
Since the documents are not -- not even in part -- published but only text mining statistics about them, no violation of copyright is done by this project.
Links to the original documents are available in the sourceUrls file in the data folder.

 

File Information

data folder: document data


	bagofwords: Word frequencies per document
	bigrams: Bigram frequencies per document
	corpusstats: Min, avg and max token count, type count, type/token ratio, documents per game plus corressponding standard deviation
	game_walkthrough_mapping: Documents per game
	game_walkthrough_mapping: Number of documents per game
	sentencecollocations: Word frequencies per sentence per document
	sourceUrls: Links to original text
	textlength: Number of characters per document
	tfidf_deu: Word significance per document (German)
	ifidf_eng: Word significance per document (English)
	tokencount: Number of unique words per document
	typecount: Number of words per document


metadata: game metadata


	file names that do not start with "_": metadata [filename] per game
	_all: All metadata in one file
	_mapping_release_date*: Metadata combined with release data for time series


doc folder: documentation


	createdata: Python script to create content of data folder
	extractMetainformation: Python script to create content of metadata folder
	metadata_rawg: Game metadata collected from RAWG
	metadata_steam: Game metadata collected from Steam
	metadata_symbol: Quality control. Relation of text in source HTML and extracted text
	titlesandurns: Game titles mapped to project identifiers


 

Walkthrough Sources 


	https://portforward.com/games/walkthroughs/
	https://www.neoseeker.com
	https://www.spieletipps.de
	https://jayisgames.com/
	http://gamesetter.com/


 

Corpus Statistics


	Number of unique games: 6,013
	Number of documents: 12,295
	Genre associations: 3,806
	Gameplay tags: 10,246
	Release dates: 2,443
	Developers: 3,152
	Publishers: 2,782
	Steam IDs: 1,086
	Platform associations: 5,293 (PC, Gameboy, iOS, Linux,...)
	Game language associations: 4,631
	Languages: English, German and a little bit of French


 

External Resources


	Project Website: https://www.informatik.uni-leipzig.de/~jtiepmar/forschung/gwtc/
	Bitbucket: https://bitbucket.org/jtiepmar/the-game-walkthrough-corpus/src/master/


 

There are two version of the GWTC available for download: ver. 0.99 contains all the above corpus files, plus the Git files. Note that after downloading ver. 0.99, the Git folders may be hidden per default, depending on you operating system. Ver. 1.0 is a cleaned up version that comes without the Git files.</dc:description>
  <dc:identifier>https://zenodo.org/record/4562336</dc:identifier>
  <dc:identifier>10.5281/zenodo.4562336</dc:identifier>
  <dc:identifier>oai:zenodo.org:4562336</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.4559182</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Game Studies, Walkthrough, Video Games, Text Corpus</dc:subject>
  <dc:title>Game Walkthrough Corpus (GWTC)</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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Data volume 34.1 GB22.3 GB
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