Dataset Open Access
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.2609187", "author": [ { "family": "Saier, Tarek" }, { "family": "F\u00e4rber, Michael" } ], "issued": { "date-parts": [ [ 2019, 2, 1 ] ] }, "abstract": "<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' 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>", "title": "Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks", "type": "dataset", "id": "2609187" }
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Data volume | 494.3 TB | 266.5 TB |
Unique views | 2,750 | 494 |
Unique downloads | 3,067 | 902 |