names-rollie-dataset-1 = "bifta"
names-rollie-dataset-2 = "bifter"
names-rollie-dataset-3 = "bird"
names-rollie-dataset-4 = "bloint"
names-rollie-dataset-5 = "boof"
names-rollie-dataset-6 = "boofer"
names-rollie-dataset-7 = "bomber"
names-rollie-dataset-8 = "bone"
names-rollie-dataset-9 = "bun"
names-rollie-dataset-10 = "doink"
names-rollie-dataset-11 = "doob"
names-rollie-dataset-12 = "doober"
names-rollie-dataset-13 = "doobie"
names-rollie-dataset-14 = "dutch"
names-rollie-dataset-15 = "fatty"
names-rollie-dataset-16 = "hogger"
names-rollie-dataset-17 = "hooter"
names-rollie-dataset-18 = "hootie"
names-rollie-dataset-19 = "jay"
names-rollie-dataset-20 = "jimmy"
names-rollie-dataset-21 = "juju"
names-rollie-dataset-22 = "jeebie weebie"
names-rollie-dataset-23 = "number"
names-rollie-dataset-24 = "owl"
names-rollie-dataset-25 = "phattie"
names-rollie-dataset-26 = "puffer"
names-rollie-dataset-27 = "reef"
names-rollie-dataset-28 = "reefer"
names-rollie-dataset-29 = "rollie"
names-rollie-dataset-30 = "scoobie"
names-rollie-dataset-31 = "shorty"
names-rollie-dataset-32 = "spiff"
names-rollie-dataset-33 = "spliff"
names-rollie-dataset-34 = "toke"
names-rollie-dataset-35 = "torpedo"
names-rollie-dataset-36 = "zoot"
names-rollie-dataset-37 = "zooter"