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Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks

Saier, Tarek; Färber, Michael


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    "description": "<p>We propose a new data set based on <strong>all publications from all scientific fields available on arXiv.org</strong>. Apart from providing the <strong>papers&#39; plain text</strong>, <strong>in-text citations</strong> were annotated via global identifiers. As far as possible, cited publications were linked to the <strong>Microsoft Academic Graph</strong>. Our data set consists of <strong>over one million documents</strong> and <strong>29.2 million citation contexts</strong>. The data set, which is made freely available for research purposes, not only can enhance the future evaluation of researchpaper-based and citation context-based approaches but also serve as a basis for novel ideas to analyze papers.</p>\n\n<p>More information can be found in our paper <a href=\"http://ceur-ws.org/Vol-2345/paper2.pdf\">Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks</a>.</p>\n\n<p>See <a href=\"https://github.com/IllDepence/unarXive\">https://github.com/IllDepence/unarXive</a> for the source code which has been used for creating the data set.</p>", 
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2,552
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downloads
All versions This version
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Unique views 2,046397
Unique downloads 2,896889

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