Datasets:
StephanAkkerman
/
imageability-predictions

Dataset card Data Studio Files
xet
Community
word
stringlengths
1
28
⌀
imageability_score
float64
0.12
0.93
'bout
0.503077
'cause
0.407877
'course
0.44938
'cuse
0.539717
'em
0.63982
'frisco
0.310422
'gain
0.486326
'kay
0.403474
'm
0.482158
'n
0.531773
'round
0.46161
's
0.497242
'til
0.376753
'tis
0.331965
'twas
0.384114
a
0.344083
a.
0.366727
a.'s
0.483288
a.d.
0.298788
a.m.
0.555715
a.s
0.461608
a's
0.446978
aaa
0.519229
aaberg
0.346675
aachen
0.510419
aachener
0.263851
aaker
0.540133
aaliyah
0.52246
aalseth
0.343526
aamodt
0.394296
aancor
0.38076
aardema
0.462691
aardvark
0.685538
aardvarks
0.563335
aargh
0.470644
aarhus
0.530959
aaron
0.527582
aaron's
0.498148
aarons
0.606992
aaronson
0.306012
aaronson's
0.397129
aarti
0.540693
aase
0.45081
aasen
0.526069
ab
0.502836
aba
0.500501
ababa
0.366659
abacha
0.512553
aback
0.552139
abaco
0.492794
abacus
0.669587
abad
0.319487
abadaka
0.36195
abadi
0.314969
abadie
0.339564
abair
0.423262
abalkin
0.439614
abalone
0.74589
abalones
0.58813
abalos
0.425185
abandon
0.44521
abandoned
0.483423
abandoning
0.402088
abandonment
0.3922
abandonments
0.396731
abandons
0.475683
abanto
0.380538
abarca
0.44126
abare
0.385172
abascal
0.386024
abash
0.238148
abashed
0.379502
abasia
0.395555
abate
0.353452
abated
0.415103
abatement
0.234239
abatements
0.386716
abates
0.509086
abating
0.433498
abattoir
0.635744
abba
0.47209
abbado
0.519607
abbas
0.418523
abbasi
0.463185
abbate
0.341932
abbatiello
0.432934
abbe
0.307948
abbenhaus
0.406666
abbett
0.436164
abbeville
0.55594
abbey
0.558794
abbey's
0.45013
abbie
0.562695
abbitt
0.360602
abbot
0.612201
abbotstown
0.491097
abbott
0.557417
abbott's
0.55058
abbottstown
0.420496
abboud
0.41647