Datasets:
yonatanbitton
/
test_hf_v

Dataset card Data Studio Files Community
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
["music", "sloth", "write", "airplane", "vinyl"]
compose
["music", "write", "vinyl"]
0
3
5
1
0
1,200
["music", "sloth", "write", "airplane", "vinyl"]
soul
["music", "vinyl"]
0
2
5
1
0
1,201
["music", "sloth", "write", "airplane", "vinyl"]
nostril
["sloth", "write"]
67
2
5
1
0
1,202
["music", "sloth", "write", "airplane", "vinyl"]
billboard
["music", "vinyl"]
67
2
5
1
0
1,203
["stairs", "green", "sleep", "shell", "tortoise"]
shell
["shell", "tortoise"]
0
2
5
1
0
1,204
["stairs", "green", "sleep", "shell", "tortoise"]
home
["stairs", "sleep", "tortoise"]
50
3
5
1
0
1,205
["stairs", "green", "sleep", "shell", "tortoise"]
ocean
["shell", "tortoise"]
67
2
5
1
0
1,206
["swimming", "hawk", "orchestra", "dew", "water", "ravens"]
splash
["swimming", "dew", "water"]
0
3
6
1
0
1,207
["swimming", "hawk", "orchestra", "dew", "water", "ravens"]
practice
["swimming", "orchestra"]
100
2
6
1
0
1,208
["swimming", "hawk", "orchestra", "dew", "water", "ravens"]
human
["swimming", "orchestra"]
100
2
6
1
0
1,209
["swimming", "hawk", "orchestra", "dew", "water", "ravens"]
practice
["swimming", "orchestra"]
100
2
6
1
0
1,210
["balloon", "seat", "explode", "bomb", "explosion", "hole"]
stellar
["explode", "hole"]
0
2
6
1
0
1,211
["balloon", "seat", "explode", "bomb", "explosion", "hole"]
space
["explode", "hole"]
0
2
6
1
0
1,212
["balloon", "seat", "explode", "bomb", "explosion", "hole"]
smoke
["bomb", "explosion"]
67
2
6
1
0
1,213
["balloon", "seat", "explode", "bomb", "explosion", "hole"]
galactic
["explode", "hole"]
67
2
6
1
0
1,214
["balloon", "seat", "explode", "bomb", "explosion", "hole"]
Hiroshima
["explode", "bomb", "explosion"]
50
3
6
1
0
1,215
["balloon", "seat", "explode", "bomb", "explosion", "hole"]
rise
["balloon", "bomb", "explosion"]
80
3
6
1
0
1,216
["run", "graph", "bank", "acorn", "car"]
movement
["run", "car"]
100
2
5
1
0
1,217
["sea", "adult", "beach", "sand", "water", "baker"]
shirt
["adult", "baker"]
67
2
6
1
0
1,218
["sea", "adult", "beach", "sand", "water", "baker"]
structure
["beach", "baker"]
100
2
6
1
0
1,219
["game", "insect", "cog", "mason", "bat", "ball"]
forest
["insect", "bat"]
67
2
6
1
0
1,220
["game", "insect", "cog", "mason", "bat", "ball"]
worldcup
["mason", "ball"]
67
2
6
1
0
1,221
["game", "insect", "cog", "mason", "bat", "ball"]
legs
["insect", "mason", "bat"]
80
3
6
0.83
0.24
1,222
["game", "insect", "cog", "mason", "bat", "ball"]
game
["game", "mason", "ball"]
50
3
6
1
0
1,223
["game", "insect", "cog", "mason", "bat", "ball"]
kick
["mason", "ball"]
67
2
6
1
0
1,224
["psychologist", "cherry", "dog", "music", "speaker", "magazine"]
grow
["psychologist", "cherry", "dog"]
50
3
6
1
0
1,225
["psychologist", "cherry", "dog", "music", "speaker", "magazine"]
headbang
["music", "speaker"]
67
2
6
1
0
1,226
["steps", "block", "stairs", "veranda", "climb"]
ascend
["steps", "stairs", "climb"]
50
3
5
1
0
1,227
["steps", "block", "stairs", "veranda", "climb"]
fabric
["veranda", "climb"]
100
2
5
1
0
1,228
["steps", "block", "stairs", "veranda", "climb"]
interval
["steps", "stairs"]
67
2
5
1
0
1,229
["steps", "block", "stairs", "veranda", "climb"]
elevator
["steps", "stairs"]
0
2
5
1
0
1,230
["wrinkled", "thunder", "family", "tree", "throw up"]
ancient
["wrinkled", "tree"]
0
2
5
1
0
1,231
["wrinkled", "thunder", "family", "tree", "throw up"]
people
["wrinkled", "family", "throw up"]
0
3
5
1
0
1,232
["bean", "lectern", "hiker", "step", "horse", "walk"]
recreation
["hiker", "walk"]
67
2
6
1
0
1,233
["bean", "lectern", "hiker", "step", "horse", "walk"]
stance
["hiker", "horse"]
67
2
6
1
0
1,234
["bean", "lectern", "hiker", "step", "horse", "walk"]
trot
["horse", "walk"]
0
2
6
1
0
1,235
["bean", "lectern", "hiker", "step", "horse", "walk"]
hike
["hiker", "walk"]
0
2
6
1
0
1,236
["bean", "lectern", "hiker", "step", "horse", "walk"]
graze
["horse", "walk"]
67
2
6
1
0
1,237
["shovel", "secretary", "cat", "tiger", "jump", "stereo"]
rawr
["cat", "tiger"]
0
2
6
1
0
1,238
["shovel", "secretary", "cat", "tiger", "jump", "stereo"]
sky
["secretary", "jump"]
67
2
6
1
0
1,239
["car", "monkey", "dog", "thermometer", "red"]
mammal
["monkey", "dog"]
0
2
5
1
0
1,240
["car", "monkey", "dog", "thermometer", "red"]
fuzzy
["monkey", "dog"]
0
2
5
1
0
1,241
["car", "monkey", "dog", "thermometer", "red"]
sentient
["monkey", "dog"]
0
2
5
1
0
1,242
["car", "monkey", "dog", "thermometer", "red"]
gauge
["car", "thermometer"]
67
2
5
1
0
1,243
["car", "monkey", "dog", "thermometer", "red"]
hug
["monkey", "dog"]
0
2
5
1
0
1,244
["car", "monkey", "dog", "thermometer", "red"]
fur
["monkey", "dog"]
0
2
5
1
0
1,245
["whisper", "library", "prince", "wrap", "treasure"]
testosterone
["prince", "treasure"]
0
2
5
1
0
1,246
["whisper", "library", "prince", "wrap", "treasure"]
human
["whisper", "prince", "treasure"]
50
3
5
1
0
1,247
["whisper", "library", "prince", "wrap", "treasure"]
hair
["whisper", "prince", "treasure"]
0
3
5
1
0
1,248
["pot", "donkey", "ice", "hot", "vine"]
hungry
["pot", "donkey"]
67
2
5
1
0
1,249
["pot", "donkey", "ice", "hot", "vine"]
boil
["pot", "hot"]
67
2
5
1
0
1,250
["pot", "donkey", "ice", "hot", "vine"]
cloudy
["donkey", "hot"]
100
2
5
1
0
1,251
["pot", "donkey", "ice", "hot", "vine"]
green
["donkey", "vine"]
67
2
5
1
0
1,252
["razor", "floss", "fish", "music", "instrument", "guitar"]
music
["music", "instrument", "guitar"]
0
3
6
1
0
1,253
["razor", "floss", "fish", "music", "instrument", "guitar"]
hygiene
["razor", "floss"]
67
2
6
1
0
1,254
["razor", "floss", "fish", "music", "instrument", "guitar"]
keys
["music", "instrument", "guitar"]
50
3
6
1
0
1,255
["razor", "floss", "fish", "music", "instrument", "guitar"]
play
["instrument", "guitar"]
67
2
6
1
0
1,256
["doorbell", "wound", "blood", "birth control", "pilot", "pus"]
sore
["wound", "pus"]
0
2
6
1
0
1,257
["sunburn", "food", "taco", "cheese", "jack"]
stitch
["sunburn", "jack"]
67
2
5
1
0
1,258
["sunburn", "food", "taco", "cheese", "jack"]
diarrhea
["food", "taco", "cheese"]
50
3
5
1
0
1,259
["sunburn", "food", "taco", "cheese", "jack"]
milk
["taco", "cheese"]
67
2
5
1
0
1,260
["sunburn", "food", "taco", "cheese", "jack"]
harm
["sunburn", "jack"]
0
2
5
1
0
1,261
["sunburn", "food", "taco", "cheese", "jack"]
moo
["taco", "cheese"]
67
2
5
1
0
1,262
["head", "eclipse", "hat", "colon", "bike"]
block
["eclipse", "hat", "colon"]
50
3
5
0.83
0.24
1,263
["head", "eclipse", "hat", "colon", "bike"]
bald
["head", "hat", "colon"]
50
3
5
1
0
1,264
["head", "eclipse", "hat", "colon", "bike"]
cover
["eclipse", "hat"]
67
2
5
1
0
1,265
["head", "eclipse", "hat", "colon", "bike"]
shady
["eclipse", "hat"]
67
2
5
1
0
1,266
["zeppelin", "doctor", "pie", "ballet", "drugs"]
prescription
["doctor", "drugs"]
0
2
5
1
0
1,267
["zeppelin", "doctor", "pie", "ballet", "drugs"]
sour
["pie", "drugs"]
67
2
5
1
0
1,268
["zeppelin", "doctor", "pie", "ballet", "drugs"]
float
["zeppelin", "ballet"]
0
2
5
1
0
1,269
["zeppelin", "doctor", "pie", "ballet", "drugs"]
level
["zeppelin", "ballet"]
67
2
5
1
0
1,270
["zeppelin", "doctor", "pie", "ballet", "drugs"]
profession
["doctor", "ballet"]
0
2
5
1
0
1,271
["zeppelin", "doctor", "pie", "ballet", "drugs"]
hover
["zeppelin", "ballet"]
0
2
5
1
0
1,272
["salad", "penicillin", "green", "net", "mansion"]
wellness
["salad", "penicillin"]
67
2
5
1
0
1,273
["salad", "penicillin", "green", "net", "mansion"]
liquid
["penicillin", "mansion"]
100
2
5
1
0
1,274
["salad", "penicillin", "green", "net", "mansion"]
green
["salad", "green"]
0
2
5
1
0
1,275
["salad", "penicillin", "green", "net", "mansion"]
healthy
["salad", "penicillin"]
67
2
5
1
0
1,276
["horse", "boa", "trident", "cow", "fertilizer"]
evil
["boa", "trident"]
67
2
5
1
0
1,277
["horse", "boa", "trident", "cow", "fertilizer"]
mammal
["horse", "cow", "fertilizer"]
50
3
5
0.83
0.24
1,278
["horse", "boa", "trident", "cow", "fertilizer"]
animal
["horse", "boa", "cow"]
0
3
5
1
0
1,279
["horse", "boa", "trident", "cow", "fertilizer"]
metal
["trident", "cow"]
0
2
5
1
0
1,280
["whale", "clarinet", "beach", "mist", "water"]
fear
["whale", "mist"]
67
2
5
1
0
1,281
["whale", "clarinet", "beach", "mist", "water"]
cloud
["beach", "mist"]
67
2
5
1
0
1,282
["whale", "clarinet", "beach", "mist", "water"]
music
["whale", "clarinet"]
67
2
5
1
0
1,283
["whale", "clarinet", "beach", "mist", "water"]
immense
["whale", "beach"]
67
2
5
1
0
1,284
["teeth", "bench", "martini", "twilight", "blood"]
slosh
["martini", "blood"]
67
2
5
1
0
1,285
["teeth", "bench", "martini", "twilight", "blood"]
fang
["teeth", "twilight"]
0
2
5
1
0
1,286
["teeth", "bench", "martini", "twilight", "blood"]
fangs
["teeth", "twilight"]
0
2
5
1
0
1,287
["teeth", "bench", "martini", "twilight", "blood"]
mouth
["teeth", "martini", "twilight"]
50
3
5
1
0
1,288
["diploma", "saw", "tenant", "television", "urine", "movie"]
media
["television", "movie"]
0
2
6
1
0
1,289
["diploma", "saw", "tenant", "television", "urine", "movie"]
test
["diploma", "urine"]
100
2
6
1
0
1,290
["diploma", "saw", "tenant", "television", "urine", "movie"]
media
["television", "movie"]
0
2
6
1
0
1,291
["diploma", "saw", "tenant", "television", "urine", "movie"]
receive
["diploma", "tenant"]
67
2
6
1
0
1,292
["diploma", "saw", "tenant", "television", "urine", "movie"]
rerun
["television", "movie"]
0
2
6
1
0
1,293
["water", "stream", "panel", "laboratory", "river"]
outside
["stream", "river"]
67
2
5
1
0
1,294
["water", "stream", "panel", "laboratory", "river"]
erode
["stream", "river"]
67
2
5
1
0
1,295
["water", "stream", "panel", "laboratory", "river"]
waves
["water", "stream", "river"]
50
3
5
1
0
1,296
["water", "stream", "panel", "laboratory", "river"]
flood
["water", "stream", "river"]
50
3
5
1
0
1,297
["water", "stream", "panel", "laboratory", "river"]
run
["stream", "river"]
67
2
5
1
0
1,298
["water", "stream", "panel", "laboratory", "river"]
splash
["water", "stream"]
0
2
5
1
0
1,299