This document contains instructions on how to download the November 2019 version of the Web Data Commons RDFa, Microdata, Embedded JSONLD, and Microformats data sets.
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 9,925 files with a total size of 1.01 TB are provided.
List of download URLs for RDF from the November 2019 corpus (Example Content)
The extracted RDF data can be downloaded using wget with the command wget -i http://webdatacommons.org/structureddata/2019-12/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.
If you want to download the class-specific schema.org datasets please navigate to the WDC class-specific subsets page.
| Format | Number Of Files | Approx. Total File Size | File List |
|---|---|---|---|
| html-rdfa | 311 | 30.4 GB | html-rdfa.list |
| html-microdata | 5,432 | 571 GB | html-microdata.list |
| html-embedded-jsonld | 1,427 | 141 GB | html-embedded-jsonld.list |
| html-mf-geo | 6 | 534 MB | html-mf-geo.list |
| html-mf-hcalendar | 11 | 1.05 GB | html-mf-hcalendar.list |
| html-mf-hcard | 2,660 | 266 GB | html-mf-hcard.list |
| html-mf-adr | 18 | 1.69 GB | html-mf-adr.list |
| html-mf-hrecipe | 3 | 235 MB | html-mf-hrecipe.list |
| html-mf-hlisting | 5 | 432 MB | html-mf-hlisting.list |
| html-mf-hresume | 1 | 0.82 MB | html-mf-hresume.list |
| html-mf-hreview | 12 | 1.09 GB | html-mf-hreview.list |
| html-mf-species | 1 | 11.1 MB | html-mf-species.list |
| html-mf-xfn | 36 | 3.48 GB | html-mf-xfn.list |
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.
Please send questions and feedback to the Web Data Commons mailing list or post them in our Web Data Commons Google Group.