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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["discogs_label"]

discogs_label — Discogs label affiliations


Two bipartite networks of the affiliations between musical labels and either musical genres or musical "styles," as given in the discogs.com database. Edges represent that a label was involved in a production of a musical release of a given genre or given style. The date of this snapshot is uncertain.1

  1. Description obtained from the ICON project. 

Informational Relatedness Unweighted Multigraph
Upstream URL OK
Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
discogs_label 270,786 4,147,665 30.63 3735.10 310.49 4.65 -0.55 0.00 4 1.00 Undirected Bipartite meta 5.4 MiB 11.5 MiB 11.6 MiB 6.9 MiB
None drawing