Download Instructions for the WDC RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets (November 2015)

This document contains instructions on how to download the November 2015 version of the Web Data Commons RDFa, Microdata, Embedded JSONLD, and Microformats data sets.

Download the Extracted Data

The extracted RDFa, Microdata, Microformat and Embedded JSONLD data is provided for download as N-Quads. Files are compressed using GZIP and each file is around 100 MB large. Overall 3,961 files with a total size of 404 GB are provided.

List of download URLs for RDF from the November 2015 corpus (Example Content)

The extracted RDF data can be downloaded using wget with the command wget -i http://webdatacommons.org/structureddata/2015-11/files/file.list. The files, containing quads for a specific formats can be found in the table below, together with more detailed statistics about the number of files and sizes.

Format Number Of Files Approx. Total File Size File List
html-rdfa 397 40 GB html-rdfa.list
html-microdata 2897 289 GB html-microdata.list
html-embedded-jsonld 65 65 GB html-embedded-jsonld.list
html-mf-geo 4 373 MB html-mf-geo.list
html-mf-hcalendar 15 2 GB html-mf-hcalendar.list
html-mf-hcard 517 51 GB html-mf-hcard.list
html-mf-adr 25 25 GB html-mf-adr.list
html-mf-hrecipe 4 381 MB html-mf-hrecipe.list
html-mf-hlisting 3 243 MB html-mf-hlisting.list
html-mf-hresume 1 1 MB html-mf-hresume.list
html-mf-hreview 15 2 GB html-mf-hreview.list
html-mf-species 1 6 MB html-mf-species.list
html-mf-xfn 21 2 GB html-mf-xfn.list

Get the Code

The source code can be checked out from our Subversion repository. The extraction of November 2015 was done with version 1.0.4 of the extractor. For more information about the framework and a detailed description how to run a own extraction visit the framework page.
The analysis of the quads was done using the Version 0.0.1 of the StructuredDataProfiler, which is also available within the Subversion repository.

Get Support

Please send questions and feedback to the Web Data Commons mailing list or post them in our Web Data Commons Google Group.