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
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1
to
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0.479616
0.856771
today
0.222222
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together
0.396135
0.378897
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tokyo
0.376812
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told
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tom
0.400966
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tony
0.396135
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too
0.333333
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took
0.188406
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tools
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top
0.333333
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toronto
0.362319
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totally
0.347826
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tour
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touring
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tourist
0.757552
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tourists
0.536232
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tournament
0.516908
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tours
0.381643
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toward
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towards
0.516908
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0.5
tower
0.550725
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towers
0.594203
0.798561
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town
0.492754
0.717026
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toys
0.584541
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track
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tracks
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trade
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traditional
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trail
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trails
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train
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training
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trains
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transport
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transportation
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travel
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traveling
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travelling
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travels
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tree
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trees
0.990338
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trek
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tried
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trips
0.468599
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tropical
0.763285
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truck
0.790257
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0.765625
trucks
0.628019
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true
0.246377
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try
0.202899
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trying
0.487923
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tuesday
0.381643
0.88729
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tulips
0.869565
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tunnel
0.555556
0.776978
0.825521
turkey
0.342995
0.980815
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turned
0.140097
0.693046
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tv
0.405797
0.553957
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twins
0.381643
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two
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typography
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u
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um
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un
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und
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under
0.396135
0.628297
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underground
0.507246
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underwater
0.908213
0.549161
0.940104
union
0.372989
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united
0.323671
0.505995
0.721354
universal
0.468599
0.724221
0.625
university
0.318841
0.743405
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uno
0.560386
0.834532
0.75
up
0.342995
0.76259
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upper
0.425121
0.532374
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upstate
0.768116
0.59952
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urban
0.275362
0.719424
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us
0.458937
0.82494
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use
0.381643
0.781775
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used
0.125604
0.760192
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using
0.299517
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usually
0.299517
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utah
0.801932
0.798561
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utilizing
0.410628
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v
0.338164
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vacation
0.47343
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valle
0.454106
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valley
0.700483
0.827338
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van
0.251208
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variety
0.251208
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various
0.275362
0.532374
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vegas
0.560386
0.553957
0.619792
vegetables
0.671498
0.611511
0.916667
vehicle
0.843979
0.716336
0.701813
vehicles
0.599034
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venice
0.603865
0.57554
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vermont
0.748792
0.561151
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version
0.429952
0.333333
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vertical
0.371981
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very
0.328502
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veterans
0.434783
0.568345
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