Download Instructions for the WDC RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets (October 2016)

This document contains instructions on how to download the October 2016 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. If you want to transform the data in other format you can use our conversion tool. Files are compressed using GZIP and each file is around 100 MB large. Overall 9,661 files with a total size of 967 GB are provided.

List of download URLs for RDF from the October 2016 corpus (Example Content)

The extracted RDF data can be downloaded using wget with the command wget -i http://webdatacommons.org/structureddata/2016-10/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 600 60 GB html-rdfa.list
html-microdata 8,007 805 GB html-microdata.list
html-embedded-jsonld 295 29 GB html-embedded-jsonld.list
html-mf-geo 7 691 MB html-mf-geo.list
html-mf-hcalendar 23 2 GB html-mf-hcalendar.list
html-mf-hcard 600 60 GB html-mf-hcard.list
html-mf-adr 45 4 GB html-mf-adr.list
html-mf2-h-adr 1 12 MB html-mf-adr.list
html-mf-hrecipe 7 698 MB html-mf-hrecipe.list
html-mf-hlisting 7 661 MB html-mf-hlisting.list
html-mf-hresume 1 0.8 MB html-mf-hresume.list
html-mf-hreview 35 3 GB html-mf-hreview.list
html-mf-species 1 0.24 MB html-mf-species.list
html-mf-xfn 32 3 GB html-mf-xfn.list

Get the Code

The source code can be checked out from our Github repository. For more information about the framework and a detailed description how to run a own extraction visit the framework page.
The code for the analysis of the quads can be checked out from the StructuredDataProfiler Github 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.