Download Instructions for the WDC RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets (October 2023)

This document contains instructions on how to download the October 2023 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 100MB large. Overall 17,416 files with a total size of 1.8 TB are provided.

List of download URLs for RDF from the October 2023 corpus (Example Content)

The extracted RDF data can be downloaded using wget with the command wget -i 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.

If you want to download the class-specific datasets please navigate to the WDC class-specific subsets page.

Format Number Of Files Approx. Total File Size File List
html-embedded-jsonld 8,897 937 GB html-embedded-jsonld.list
html-microdata 7,410 746 GB html-microdata.list
html-rdfa 209 21 GB html-rdfa.list
html-mf-geo 2 184 MB html-mf-geo.list
html-mf-hcalendar 7 640 MB html-mf-hcalendar.list
html-mf-hcard 828 82 GB html-mf-hcard.list
html-mf-adr 13 1.2 GB html-mf-adr.list
html-mf-hrecipe 2 139 MB html-mf-hrecipe.list
html-mf-hlisting 3 261 MB html-mf-hlisting.list
html-mf-hresume 1 1.6 MB html-mf-hresume.list
html-mf-hreview 7 685 MB html-mf-hreview.list
html-mf-species 1 8.6 MB html-mf-species.list
html-mf-xfn 33 3.3 GB html-mf-xfn.list

Conversion to Other Formats

We provide the extracted data for download using a variation of the N-Quads format. For users who prefer other formats, we provide code for converting the download files into CSV and JSON formats, which are supported by a wide range of spreadsheet applications, relational databases and data mining frameworks like the python data analysis library pandas. Please find further details on how to convert the download files to other formats on the main page.

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.