Data from an experiment in which 46 individuals compared 12 different sounds (Barrett and Crispino 2018) . Each assessor was asked multiple times to compare a pair of two sounds, indicating which of the sounds sounded the most like it was human generated. The pairwise preference for each assessor are in general non-transitive. These data inspired the Mallows model for non-transitive pairwise preferences developed by (Crispino et al. 2019) .
References
Barrett N, Crispino M (2018).
“The impact of 3-D sound spatialisation on listeners' understanding of human agency in acousmatic music.”
Journal of New Music Research, 47(5), 399–415.
doi:10.1080/09298215.2018.1437187
.
Crispino M, Arjas E, Vitelli V, Barrett N, Frigessi A (2019).
“A Bayesian Mallows approach to nontransitive pair comparison data: How human are sounds?”
The Annals of Applied Statistics, 13(1), 492–519.
doi:10.1214/18-aoas1203
.
See also
Other datasets:
beach_preferences,
bernoulli_data,
cluster_data,
potato_true_ranking,
potato_visual,
potato_weighing,
sushi_rankings