arXMLiv 08.2018 - An HTML5 dataset for

Part of the arXMLiv project at the KWARC research group



Accessibility and License

The content of this Dataset is licensed to SIGMathLing members for research and tool development purposes.

Access is restricted to SIGMathLing members under the SIGMathLing Non-Disclosure-Agreement as for most arXiv articles, the right of distribution was only given (or assumed) to arXiv itself.


subset ID number of documents size archived size unpacked
no_problem 137,864 6.9 GB 53 GB
warning 705,095 104 GB 896 GB
error 389,227 58 GB 506 GB
subset file name MD5 0e19fd0a68f18f6bb05b3d7d1127a072 8ea32275e9cf197f8eb592d539206a6f 5880d4fac417f5fdad6e8cec0e3bfe2a

Note: the archives preserve a leading path ./data/datasets/dataset-arXMLiv-08-2018, which can be safely ignored, and is an artefact of the current release that will be avoided in the future.


This is a second public release of the arXMLiv dataset generated by the KWARC research group. It contains 1,232,186 HTML5 scientific documents from the preprint archive, converted from their respective TeX sources. A 13% increase in available articles over the 08.2017 release.

The dataset is segmented in 3 different subsets, each corresponding to a severity level of the LaTeXML software responsible for the HTML5 conversion.

This version of the dataset has had minimal manual quality control, and we offer no additional warranty beyond the latexml severity reported.

We welcome community feedback on all of: data quality, representation issues, need for auxiliary resources (e.g. figures, token models), as well as organization and archival best practices. The conversion, build system, and data redistribution efforts are all ongoing projects at the KWARC research group.

Citing this Resource

The dataset should be referenced in all academic publications that present results obtained with its help. The reference should contain the identifier arXMLiv:08.2018 in the title, the author, year, a reference to SIGMathLing, and the URL of the resource description page. For convenience, we supply some records for bibTeX and EndNote below. To cite a particular part of the dataset use the subset identifiers in the ciation; e.g. \cite[no_problem subset]{arXMLiv:08.2018} or just explain it in the text using the concrete identifier.

pure bibTeX

  author = {Deyan Ginev},
  title = {arXMLiv:08.2018 dataset, an HTML5 conversion of},
  howpublished = {hosted at \url{}},
  note = {SIGMathLing -- Special Interest Group on Math Linguistics},
  year = 2018}

bibTeX for the bibLaTeX package (preferred)

  author = {Deyan Ginev},
  title = {arXMLiv:08.2018 dataset, an HTML5 conversion of},
  url = {},
  note = {SIGMathLing -- Special Interest Group on Math Linguistics},
  year = 2018}


%0 Generic
%T arXMLiv:08.2018 dataset, an HTML5 conversion of
%A Ginev, Deyan
%D 2018
%I hosted at
%F SML:arXMLiv:08.2018b
%O SIGMathLing – Special Interest Group on Math Linguistics


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