Long document similarity dataset, Wikipedia excerptions for video games collections

Name: Long document similarity dataset, Wikipedia excerptions for video games collections
Creator: Ginzburg, Dvir
Keywords: Long document, Wikipedia dataset, text based similarity, Long document similarity, NLP, text based recommendations

Ginzburg, Dvir

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ZENODO

Dataset . 2021

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2021

License: CC BY

Data sources: Datacite

Long document similarity dataset, Wikipedia excerptions for video games collections

Research datakeyboard_double_arrow_right Dataset 26 May 2021Publisher:Zenodo

Authors: Ginzburg, Dvir;

doi: 10.5281/zenodo.4812962 , 10.5281/zenodo.4812961

Long document similarity dataset, Wikipedia excerptions for video games collections

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Abstract

Video games-related articles extracted from Wikipedia. For all articles, the figures and tables have been filtered out, as well as the categories and "see also" sections. The article structure, and particularly the sub-titles and paragraphs are kept in these datasets Video games The Wikipedia video games dataset consists of 21,935 articles reviewing video games from all genres and consoles. Each article may consist of a different combination of sections, including summary, gameplay, plot, production, etc. Examples for ground-truth expert-based recommendations are: Grand Theft Auto - Mafia Burnout Paradise - Forza Horizon 3

Keywords

Long document, Wikipedia dataset, text based similarity, Long document similarity, NLP, text based recommendations

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Long document similarity dataset, Wikipedia excerptions for movies collections
2022IsAmongTopNSimilarDocuments
Long document similarity dataset, Wikipedia excerptions for movies collections
2022IsAmongTopNSimilarDocuments

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