Datasets:
yonatanbitton
/
test_hf_v

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candidates
stringlengths
37
139
cue
stringlengths
2
14
associations
stringlengths
14
49
score_fool_the_ai
int64
0
100
num_associations
int64
2
4
num_candidates
int64
5
12
solvers_jaccard_mean
float64
0.83
1
solvers_jaccard_std
float64
0
0.24
ID
int64
0
3.56k
["food", "painter", "salmon", "teddy", "sea", "camel"]
grill
["food", "salmon"]
0
2
6
0.83
0.24
900
["food", "painter", "salmon", "teddy", "sea", "camel"]
fuzzy
["teddy", "camel"]
0
2
6
1
0
901
["food", "painter", "salmon", "teddy", "sea", "camel"]
eat
["food", "salmon"]
0
2
6
1
0
902
["fruit", "backpack", "novel", "red", "sketch", "fire"]
contain
["backpack", "novel"]
100
2
6
1
0
903
["fruit", "backpack", "novel", "red", "sketch", "fire"]
school
["backpack", "novel"]
67
2
6
1
0
904
["fruit", "backpack", "novel", "red", "sketch", "fire"]
books
["backpack", "novel"]
67
2
6
1
0
905
["fruit", "backpack", "novel", "red", "sketch", "fire"]
alert
["red", "sketch", "fire"]
50
3
6
1
0
906
["fruit", "backpack", "novel", "red", "sketch", "fire"]
hot
["red", "fire"]
67
2
6
1
0
907
["fruit", "backpack", "novel", "red", "sketch", "fire"]
picture
["novel", "sketch"]
67
2
6
1
0
908
["file", "tuxedo", "paper", "sword", "band", "record"]
formal
["tuxedo", "band"]
67
2
6
1
0
909
["file", "tuxedo", "paper", "sword", "band", "record"]
pulp
["file", "paper"]
100
2
6
1
0
910
["file", "tuxedo", "paper", "sword", "band", "record"]
tempo
["band", "record"]
67
2
6
1
0
911
["water", "beach", "sea", "sand", "explode", "potion"]
trap
["beach", "sea", "sand"]
80
3
6
1
0
912
["water", "beach", "sea", "sand", "explode", "potion"]
react
["explode", "potion"]
67
2
6
1
0
913
["water", "beach", "sea", "sand", "explode", "potion"]
bubbly
["water", "potion"]
67
2
6
1
0
914
["glass", "light", "wasp", "projector", "dish"]
white
["projector", "dish"]
67
2
5
1
0
915
["glass", "light", "wasp", "projector", "dish"]
capacity
["glass", "dish"]
67
2
5
1
0
916
["glass", "light", "wasp", "projector", "dish"]
buzz
["wasp", "projector"]
67
2
5
1
0
917
["glass", "light", "wasp", "projector", "dish"]
meal
["glass", "dish"]
67
2
5
1
0
918
["glass", "light", "wasp", "projector", "dish"]
glass
["glass", "projector"]
67
2
5
1
0
919
["sea", "mermaid", "knoll", "sky", "night"]
drown
["sea", "mermaid"]
67
2
5
1
0
920
["sea", "mermaid", "knoll", "sky", "night"]
rest
["knoll", "night"]
67
2
5
1
0
921
["sea", "mermaid", "knoll", "sky", "night"]
hike
["sea", "night"]
67
2
5
1
0
922
["sea", "mermaid", "knoll", "sky", "night"]
billions
["sky", "night"]
67
2
5
1
0
923
["metal", "statue", "playstation", "gold", "medal", "missile"]
Windows
["statue", "missile"]
100
2
6
1
0
924
["metal", "statue", "playstation", "gold", "medal", "missile"]
golden
["gold", "medal"]
0
2
6
1
0
925
["metal", "statue", "playstation", "gold", "medal", "missile"]
success
["medal", "missile"]
0
2
6
1
0
926
["clothes", "torn", "dirty", "wash", "hay"]
dirty
["dirty", "hay"]
67
2
5
1
0
927
["clothes", "torn", "dirty", "wash", "hay"]
wash
["dirty", "wash"]
67
2
5
1
0
928
["clothes", "torn", "dirty", "wash", "hay"]
gap
["torn", "dirty"]
0
2
5
1
0
929
["clothes", "torn", "dirty", "wash", "hay"]
launder
["clothes", "dirty", "wash"]
80
3
5
1
0
930
["clothes", "torn", "dirty", "wash", "hay"]
twin
["torn", "dirty"]
0
2
5
1
0
931
["yellow", "fan", "china", "doorstop", "dad", "food"]
coils
["fan", "doorstop"]
0
2
6
1
0
932
["yellow", "fan", "china", "doorstop", "dad", "food"]
secret
["china", "dad"]
100
2
6
1
0
933
["yellow", "fan", "china", "doorstop", "dad", "food"]
breeze
["fan", "china"]
67
2
6
1
0
934
["machine", "soap", "water", "stone", "drinking", "clothes"]
liquid
["water", "drinking"]
67
2
6
1
0
935
["machine", "soap", "water", "stone", "drinking", "clothes"]
morning
["soap", "water", "clothes"]
50
3
6
1
0
936
["machine", "soap", "water", "stone", "drinking", "clothes"]
wash
["soap", "water"]
67
2
6
1
0
937
["machine", "soap", "water", "stone", "drinking", "clothes"]
drink
["water", "drinking"]
0
2
6
1
0
938
["machine", "soap", "water", "stone", "drinking", "clothes"]
hang
["machine", "drinking", "clothes"]
80
3
6
0.83
0.24
939
["machine", "soap", "water", "stone", "drinking", "clothes"]
fresh
["soap", "water", "drinking"]
50
3
6
0.83
0.24
940
["food", "site", "hair", "spoon", "oil", "alpaca"]
tangle
["hair", "oil", "alpaca"]
80
3
6
0.83
0.24
941
["food", "site", "hair", "spoon", "oil", "alpaca"]
hair
["hair", "alpaca"]
67
2
6
1
0
942
["island", "pear", "boat", "sea", "quiz"]
beach
["island", "sea"]
0
2
5
1
0
943
["island", "pear", "boat", "sea", "quiz"]
boat
["island", "boat", "sea"]
0
3
5
1
0
944
["island", "pear", "boat", "sea", "quiz"]
shore
["island", "sea"]
0
2
5
1
0
945
["island", "pear", "boat", "sea", "quiz"]
head
["boat", "quiz"]
67
2
5
1
0
946
["crow", "stomach", "muscle", "chess", "footprint"]
move
["crow", "chess", "footprint"]
50
3
5
0.83
0.24
947
["crow", "stomach", "muscle", "chess", "footprint"]
nurse
["stomach", "muscle"]
67
2
5
1
0
948
["crow", "stomach", "muscle", "chess", "footprint"]
interior
["stomach", "muscle"]
0
2
5
1
0
949
["cup", "badge", "perfume", "coffee", "face"]
ceramic
["cup", "coffee"]
0
2
5
1
0
950
["cup", "badge", "perfume", "coffee", "face"]
sip
["cup", "coffee"]
0
2
5
1
0
951
["arachnid", "drink", "freckles", "alcohol", "poison", "drugs"]
danger
["arachnid", "poison", "drugs"]
50
3
6
1
0
952
["arachnid", "drink", "freckles", "alcohol", "poison", "drugs"]
illegal
["poison", "drugs"]
100
2
6
1
0
953
["arachnid", "drink", "freckles", "alcohol", "poison", "drugs"]
alive
["arachnid", "freckles"]
0
2
6
1
0
954
["arachnid", "drink", "freckles", "alcohol", "poison", "drugs"]
description
["alcohol", "poison"]
67
2
6
1
0
955
["vermin", "conch", "pat", "priest", "sneeze", "pimple"]
creature
["vermin", "conch"]
67
2
6
1
0
956
["vermin", "conch", "pat", "priest", "sneeze", "pimple"]
bald
["pat", "priest"]
67
2
6
1
0
957
["vermin", "conch", "pat", "priest", "sneeze", "pimple"]
elbow
["pat", "priest"]
67
2
6
1
0
958
["tree", "fruit", "leaf", "wizard", "frog", "hot tub"]
curse
["wizard", "frog"]
67
2
6
1
0
959
["tree", "fruit", "leaf", "wizard", "frog", "hot tub"]
shade
["tree", "hot tub"]
100
2
6
1
0
960
["tree", "fruit", "leaf", "wizard", "frog", "hot tub"]
aquatic
["frog", "hot tub"]
67
2
6
1
0
961
["cage", "reef", "ice cream", "parrot", "bird"]
seed
["cage", "parrot", "bird"]
0
3
5
1
0
962
["cage", "reef", "ice cream", "parrot", "bird"]
bird
["cage", "parrot", "bird"]
0
3
5
0.83
0.24
963
["cage", "reef", "ice cream", "parrot", "bird"]
wings
["parrot", "bird"]
0
2
5
1
0
964
["cage", "reef", "ice cream", "parrot", "bird"]
beak
["parrot", "bird"]
0
2
5
1
0
965
["cage", "reef", "ice cream", "parrot", "bird"]
wild
["reef", "parrot", "bird"]
50
3
5
1
0
966
["sky", "rope", "dalmatian", "lens", "guard"]
sight
["dalmatian", "lens", "guard"]
50
3
5
0.83
0.24
967
["sky", "rope", "dalmatian", "lens", "guard"]
sky
["sky", "guard"]
0
2
5
1
0
968
["sky", "rope", "dalmatian", "lens", "guard"]
white
["sky", "dalmatian"]
67
2
5
1
0
969
["sky", "rope", "dalmatian", "lens", "guard"]
detain
["rope", "guard"]
0
2
5
1
0
970
["sky", "rope", "dalmatian", "lens", "guard"]
leash
["rope", "dalmatian"]
67
2
5
1
0
971
["sky", "rope", "dalmatian", "lens", "guard"]
sight
["dalmatian", "lens", "guard"]
50
3
5
1
0
972
["land", "country", "hooker", "gel", "drugs"]
style
["land", "hooker", "gel"]
50
3
5
1
0
973
["land", "country", "hooker", "gel", "drugs"]
country
["land", "country", "hooker"]
50
3
5
1
0
974
["land", "country", "hooker", "gel", "drugs"]
land
["land", "country"]
0
2
5
1
0
975
["land", "country", "hooker", "gel", "drugs"]
green
["land", "country", "drugs"]
50
3
5
1
0
976
["land", "country", "hooker", "gel", "drugs"]
passion
["land", "hooker"]
67
2
5
1
0
977
["land", "country", "hooker", "gel", "drugs"]
inspired
["land", "hooker"]
67
2
5
1
0
978
["tree", "brown", "scanner", "computer", "jet"]
oxygen
["tree", "jet"]
100
2
5
1
0
979
["tree", "brown", "scanner", "computer", "jet"]
display
["scanner", "computer"]
67
2
5
1
0
980
["tree", "brown", "scanner", "computer", "jet"]
dream
["tree", "jet"]
67
2
5
1
0
981
["tree", "brown", "scanner", "computer", "jet"]
bark
["tree", "brown"]
0
2
5
1
0
982
["tree", "brown", "scanner", "computer", "jet"]
print
["scanner", "computer"]
67
2
5
1
0
983
["board", "twins", "baby", "animal", "baker", "feather"]
textured
["board", "feather"]
0
2
6
1
0
984
["board", "twins", "baby", "animal", "baker", "feather"]
hair
["twins", "baby", "animal", "baker"]
67
4
6
1
0
985
["board", "twins", "baby", "animal", "baker", "feather"]
shirt
["twins", "baby", "baker"]
80
3
6
1
0
986
["human", "beard", "leaves", "sunburn", "man"]
soothe
["leaves", "sunburn"]
67
2
5
1
0
987
["whale", "hostess", "dolly", "bank", "edge", "money"]
heavy
["whale", "dolly"]
0
2
6
1
0
988
["whale", "hostess", "dolly", "bank", "edge", "money"]
corporate
["hostess", "bank", "edge", "money"]
67
4
6
1
0
989
["whale", "hostess", "dolly", "bank", "edge", "money"]
motion
["whale", "dolly", "edge"]
0
3
6
1
0
990
["whale", "hostess", "dolly", "bank", "edge", "money"]
curve
["whale", "hostess", "edge"]
50
3
6
1
0
991
["whale", "hostess", "dolly", "bank", "edge", "money"]
move
["whale", "dolly"]
67
2
6
1
0
992
["pet", "boy", "mail", "shepherd", "church", "priest"]
vet
["pet", "shepherd"]
67
2
6
1
0
993
["pet", "boy", "mail", "shepherd", "church", "priest"]
bless
["church", "priest"]
67
2
6
1
0
994
["pet", "boy", "mail", "shepherd", "church", "priest"]
friend
["pet", "shepherd", "church"]
50
3
6
0.83
0.24
995
["pet", "boy", "mail", "shepherd", "church", "priest"]
ceremony
["church", "priest"]
67
2
6
1
0
996
["pet", "boy", "mail", "shepherd", "church", "priest"]
vestments
["church", "priest"]
0
2
6
1
0
997
["pet", "boy", "mail", "shepherd", "church", "priest"]
marmaduke
["pet", "shepherd"]
0
2
6
1
0
998
["rose", "food", "blanket", "folded", "noose", "hug"]
valentine
["rose", "hug"]
0
2
6
1
0
999