Datasets:
StephanAkkerman
/
imageability-corpus

Dataset card Data Studio Files
xet
 Community
1
word
stringlengths
1
14
visual
float64
0
1
phonetic
float64
0
1
textual
float64
0
1
via
0.376812
0.513189
0.807292
victoria
0.357488
0.438849
0.786458
video
0.468599
0.328537
0.609375
vietnam
0.362319
0.376499
0.541667
view
0.584541
0.544365
0.497396
viewed
0.565217
0.767386
0.148438
views
0.545894
0.796163
0.309896
villa
0.594203
0.688249
0.875
village
0.376812
0.841727
0.820313
virginia
0.570048
0.534772
0.708333
visible
0.487923
0.477218
0.554688
visit
0.410628
0.515588
0.617188
visited
0.333333
0.633094
0.765625
visiting
0.304348
0.510791
0.815104
visitors
0.478261
0.681055
0.760417
visits
0.541063
0.724221
0.828125
vista
0.666667
0.601918
0.526042
volcano
0.835749
0.613909
0.953125
volleyball
0.681159
0.717026
0.929688
volunteer
0.381643
0.532374
0.575521
volunteers
0.439614
0.52518
0.533854
von
0.357488
0.752998
0.583333
vs
0.671498
0.685851
0.419271
w
0.371981
0.666667
0.950521
wagner
0.642512
0.755396
0.588542
waiting
0.391304
0.573141
0.442708
wales
0.52657
0.688249
0.669271
walk
0.599034
0.714628
0.648438
walked
0.342995
0.688249
0.869792
walking
0.642512
0.8753
0.486979
wall
0.396135
0.829736
0.783854
wallpaper
0.507246
0.820144
0.903646
walls
0.512077
0.832134
0.835938
want
0.285024
0.666667
0.221354
wanted
0.399773
0.804521
0.050035
war
0.550725
0.736211
0.523438
warm
0.381643
0.70024
0.880208
was
0.362319
0.568345
0.658854
washington
0.449275
0.479616
0.799479
watching
0.487923
0.834532
0.627604
water
0.613527
0.93765
0.572917
waterfall
0.792271
0.594724
0.901042
waterfalls
0.560386
0.561151
0.861979
waterfront
0.584541
0.582734
0.846354
wave
0.521739
0.534772
0.505208
waves
0.78744
0.618705
0.697917
way
0.352657
0.374101
0.768229
we
0.386473
0.64988
0.838542
wear
0.410628
0.693046
0.828125
wearing
0.386473
0.793765
0.916667
weather
0.897708
0.372287
0.648232
wedding
0.594203
0.947242
0.885417
weddings
0.531401
0.748201
0.901042
wednesday
0.246377
0.781775
0.424479
week
0.439614
0.628297
0.304688
weeks
0.36715
0.738609
0.429688
weird
0.502415
0.731415
0.351563
welcome
0.299517
0.609113
0.520833
well
0.188406
0.796163
0.536458
went
0.304348
0.652278
0.434896
were
0.236715
0.609113
0.278646
west
0.552991
0.591275
0.651994
western
0.444444
0.846523
0.669271
wet
0.623188
0.654676
0.940104
what
0.333333
0.616307
0.513021
wheel
0.521739
0.748201
0.851563
wheels
0.478261
0.808153
0.861979
when
0.207729
0.71223
0.648438
where
0.444444
0.724221
0.494792
which
0.309179
0.721823
0.346354
while
0.2657
0.709832
0.684896
white
0.236715
0.736211
0.570313
who
0.400966
0.889688
0.723958
whole
0.077295
0.784173
0.174479
why
0.42029
0.606715
0.411458
wide
0.338164
0.757794
0.450521
wild
0.690821
0.736211
0.479167
wildlife
0.594203
0.860911
0.614583
will
0.342995
0.426859
0.570313
william
0.338164
0.729017
0.585938
williams
0.289855
0.748201
0.661458
wind
0.555556
0.726619
0.9375
windows
0.565217
0.695444
0.856771
wine
0.458937
0.868106
0.875
wings
0.463768
0.827338
0.838542
winner
0.231884
0.817746
0.565104
winter
0.444444
0.896882
0.684896
wisconsin
0.42029
0.390887
0.760417
wish
0.144928
0.705036
0.263021
with
0.285024
0.371703
0.760417
within
0.347826
0.326139
0.432292
woman
0.554225
0.747838
0.981112
women
0.454106
0.714628
0.489583
won
0.439614
0.772182
0.5625
wonderful
0.338164
0.417266
0.544271
wood
0.42029
0.820144
0.549479
wooden
0.47343
0.820144
0.867188
woods
0.845411
0.769784
0.565104
word
0.217391
0.803357
0.380208
words
0.376812
0.764988
0.361979