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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["word_assoc"]

word_assoc — Edinburgh word associations


A network of word associations showing the count of such associations as collected from subjects, from the Edinburgh Associative Thesaurus (EAT). Each node represents a word, and a directed edge (i, j) denotes that word i was used as a stimulus to which word j was given as a response. Multiple edges are allowed.1

  1. Description obtained from the ICON project. 

Informational Language 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
word_assoc 23,132 312,342 13.50 46.92 97.95 2.39 -0.04 0.04 6 1.00 Directed Unipartite weight 948 KiB 1.8 MiB 1.6 MiB 1.4 MiB
None drawing