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
["buyer", "record", "earring", "barbecue", "square", "restaurant"]
eat
["barbecue", "restaurant"]
67
2
6
1
0
2,300
["buyer", "record", "earring", "barbecue", "square", "restaurant"]
round
["buyer", "record"]
67
2
6
1
0
2,301
["buyer", "record", "earring", "barbecue", "square", "restaurant"]
audible
["record", "earring"]
67
2
6
1
0
2,302
["curry", "puck", "cider", "stuffing", "solid", "blacksmith"]
season
["curry", "stuffing"]
67
2
6
1
0
2,303
["curry", "puck", "cider", "stuffing", "solid", "blacksmith"]
ice
["puck", "cider"]
67
2
6
1
0
2,304
["curry", "puck", "cider", "stuffing", "solid", "blacksmith"]
office
["puck", "cider", "solid", "blacksmith"]
40
4
6
1
0
2,305
["curry", "puck", "cider", "stuffing", "solid", "blacksmith"]
chow
["curry", "stuffing"]
67
2
6
1
0
2,306
["curry", "puck", "cider", "stuffing", "solid", "blacksmith"]
chew
["curry", "stuffing"]
100
2
6
1
0
2,307
["camera", "secretary", "hooker", "ice cream", "journal", "player"]
career
["secretary", "hooker", "journal", "player"]
40
4
6
1
0
2,308
["camera", "secretary", "hooker", "ice cream", "journal", "player"]
bravado
["hooker", "player"]
67
2
6
1
0
2,309
["camera", "secretary", "hooker", "ice cream", "journal", "player"]
paperwork
["secretary", "journal"]
0
2
6
1
0
2,310
["camera", "secretary", "hooker", "ice cream", "journal", "player"]
office
["secretary", "journal"]
0
2
6
1
0
2,311
["camera", "secretary", "hooker", "ice cream", "journal", "player"]
pose
["camera", "secretary", "player"]
0
3
6
1
0
2,312
["bell", "owl", "basketball", "bass", "video game"]
points
["basketball", "video game"]
67
2
5
1
0
2,313
["bell", "owl", "basketball", "bass", "video game"]
players
["basketball", "video game"]
67
2
5
1
0
2,314
["bell", "owl", "basketball", "bass", "video game"]
beast
["owl", "video game"]
100
2
5
1
0
2,315
["bell", "owl", "basketball", "bass", "video game"]
powered
["bass", "video game"]
100
2
5
1
0
2,316
["bell", "owl", "basketball", "bass", "video game"]
alert
["bell", "owl"]
0
2
5
1
0
2,317
["chess", "llama", "railroad", "raven", "pine"]
branch
["raven", "pine"]
0
2
5
1
0
2,318
["chess", "llama", "railroad", "raven", "pine"]
move
["chess", "railroad"]
67
2
5
1
0
2,319
["shoe", "oasis", "laptop", "dozen", "hump", "dwarf"]
journey
["shoe", "hump"]
100
2
6
1
0
2,320
["shoe", "oasis", "laptop", "dozen", "hump", "dwarf"]
illuminated
["laptop", "dwarf"]
0
2
6
1
0
2,321
["shoe", "oasis", "laptop", "dozen", "hump", "dwarf"]
cookie
["laptop", "dozen"]
67
2
6
1
0
2,322
["shoe", "oasis", "laptop", "dozen", "hump", "dwarf"]
colorful
["shoe", "dozen"]
0
2
6
1
0
2,323
["continent", "ladder", "acrobat", "iphone", "fence"]
spaces
["ladder", "fence"]
100
2
5
1
0
2,324
["continent", "ladder", "acrobat", "iphone", "fence"]
brands
["acrobat", "iphone"]
0
2
5
1
0
2,325
["continent", "ladder", "acrobat", "iphone", "fence"]
boundary
["continent", "fence"]
0
2
5
1
0
2,326
["continent", "ladder", "acrobat", "iphone", "fence"]
IT
["acrobat", "iphone"]
0
2
5
1
0
2,327
["booger", "shark", "smartphone", "drink", "board", "typewriter"]
reminder
["smartphone", "board"]
100
2
6
1
0
2,328
["booger", "shark", "smartphone", "drink", "board", "typewriter"]
type
["smartphone", "typewriter"]
100
2
6
1
0
2,329
["booger", "shark", "smartphone", "drink", "board", "typewriter"]
message
["smartphone", "board", "typewriter"]
80
3
6
1
0
2,330
["noose", "plumber", "colon", "origami", "shirt", "shrubs"]
human
["plumber", "colon", "shirt"]
50
3
6
1
0
2,331
["noose", "plumber", "colon", "origami", "shirt", "shrubs"]
male
["plumber", "colon", "shirt"]
50
3
6
1
0
2,332
["noose", "plumber", "colon", "origami", "shirt", "shrubs"]
variety
["origami", "shrubs"]
0
2
6
1
0
2,333
["noose", "plumber", "colon", "origami", "shirt", "shrubs"]
metal
["plumber", "shirt"]
100
2
6
1
0
2,334
["sleigh", "stereo", "spinach", "sail", "film", "berry"]
bring
["sleigh", "sail"]
67
2
6
1
0
2,335
["sleigh", "stereo", "spinach", "sail", "film", "berry"]
grandma
["sleigh", "film"]
67
2
6
1
0
2,336
["sleigh", "stereo", "spinach", "sail", "film", "berry"]
luxury
["stereo", "sail"]
100
2
6
1
0
2,337
["sleigh", "stereo", "spinach", "sail", "film", "berry"]
holiday
["sleigh", "sail", "film"]
0
3
6
1
0
2,338
["sleigh", "stereo", "spinach", "sail", "film", "berry"]
vacation
["sail", "film"]
67
2
6
1
0
2,339
["leather", "audience", "peppermint", "zoo", "dish", "bible"]
vessel
["dish", "bible"]
67
2
6
1
0
2,340
["leather", "audience", "peppermint", "zoo", "dish", "bible"]
organic
["peppermint", "zoo"]
67
2
6
1
0
2,341
["trap", "citrus", "clockwise", "hall", "dandruff"]
grease
["trap", "dandruff"]
67
2
5
1
0
2,342
["trap", "citrus", "clockwise", "hall", "dandruff"]
round
["citrus", "clockwise"]
67
2
5
1
0
2,343
["trap", "citrus", "clockwise", "hall", "dandruff"]
creature
["trap", "dandruff"]
0
2
5
1
0
2,344
["shrub", "polar bear", "freezing", "crutch", "lumberjack"]
frigid
["polar bear", "freezing"]
0
2
5
1
0
2,345
["shrub", "polar bear", "freezing", "crutch", "lumberjack"]
support
["polar bear", "crutch"]
67
2
5
1
0
2,346
["shrub", "polar bear", "freezing", "crutch", "lumberjack"]
slipped
["freezing", "crutch"]
0
2
5
1
0
2,347
["crocodile", "starch", "candy", "shell", "pan"]
petroleum
["crocodile", "shell"]
67
2
5
1
0
2,348
["crocodile", "starch", "candy", "shell", "pan"]
dentist
["crocodile", "candy"]
0
2
5
1
0
2,349
["crocodile", "starch", "candy", "shell", "pan"]
taste
["starch", "candy"]
100
2
5
1
0
2,350
["gin", "eggnog", "fried", "casino", "blueprint"]
hightech
["casino", "blueprint"]
67
2
5
1
0
2,351
["gin", "eggnog", "fried", "casino", "blueprint"]
circuits
["casino", "blueprint"]
67
2
5
1
0
2,352
["gin", "eggnog", "fried", "casino", "blueprint"]
splashes
["gin", "eggnog"]
0
2
5
1
0
2,353
["gin", "eggnog", "fried", "casino", "blueprint"]
addict
["gin", "fried", "casino"]
50
3
5
1
0
2,354
["gin", "eggnog", "fried", "casino", "blueprint"]
sparkle
["gin", "casino"]
67
2
5
1
0
2,355
["lint", "television", "cap", "sheet", "spike"]
relax
["television", "sheet"]
67
2
5
1
0
2,356
["lint", "television", "cap", "sheet", "spike"]
laundry
["lint", "sheet"]
0
2
5
1
0
2,357
["lint", "television", "cap", "sheet", "spike"]
entertainment
["television", "spike"]
0
2
5
1
0
2,358
["lint", "television", "cap", "sheet", "spike"]
fold
["lint", "sheet"]
67
2
5
1
0
2,359
["washing machine", "drums", "bud", "pyramid", "arrow", "square"]
tour
["drums", "pyramid", "arrow"]
50
3
6
1
0
2,360
["washing machine", "drums", "bud", "pyramid", "arrow", "square"]
symbol
["arrow", "square"]
0
2
6
1
0
2,361
["washing machine", "drums", "bud", "pyramid", "arrow", "square"]
point
["pyramid", "arrow"]
67
2
6
1
0
2,362
["washing machine", "drums", "bud", "pyramid", "arrow", "square"]
rockstar
["drums", "bud"]
67
2
6
1
0
2,363
["washing machine", "drums", "bud", "pyramid", "arrow", "square"]
retain
["washing machine", "bud", "pyramid"]
100
3
6
1
0
2,364
["fishing", "encyclopedia", "oxen", "wallet", "sibling", "nurse"]
two
["oxen", "sibling"]
67
2
6
1
0
2,365
["fishing", "encyclopedia", "oxen", "wallet", "sibling", "nurse"]
ticklish
["sibling", "nurse"]
67
2
6
1
0
2,366
["scarf", "painter", "prime minister", "flake", "frame"]
female
["scarf", "painter"]
67
2
5
1
0
2,367
["scarf", "painter", "prime minister", "flake", "frame"]
focus
["scarf", "painter", "prime minister"]
80
3
5
1
0
2,368
["scarf", "painter", "prime minister", "flake", "frame"]
Indulge
["painter", "flake"]
67
2
5
1
0
2,369
["vein", "tank", "sweet potato", "bed", "buyer", "tub"]
Wayfair
["bed", "tub"]
0
2
6
1
0
2,370
["vein", "tank", "sweet potato", "bed", "buyer", "tub"]
cafe
["sweet potato", "buyer"]
67
2
6
0.83
0.24
2,371
["goose", "cartwheel", "bleach", "steakhouse", "dwarf"]
wellness
["cartwheel", "bleach", "steakhouse"]
50
3
5
1
0
2,372
["goose", "cartwheel", "bleach", "steakhouse", "dwarf"]
novice
["goose", "cartwheel"]
67
2
5
1
0
2,373
["goose", "cartwheel", "bleach", "steakhouse", "dwarf"]
young
["goose", "cartwheel"]
67
2
5
1
0
2,374
["goose", "cartwheel", "bleach", "steakhouse", "dwarf"]
poop
["goose", "bleach"]
67
2
5
1
0
2,375
["goose", "cartwheel", "bleach", "steakhouse", "dwarf"]
messy
["goose", "bleach"]
67
2
5
1
0
2,376
["checkers", "grain", "booger", "firework", "carrot", "pile"]
healthy
["grain", "carrot"]
67
2
6
1
0
2,377
["checkers", "grain", "booger", "firework", "carrot", "pile"]
nutrition
["grain", "carrot"]
67
2
6
1
0
2,378
["checkers", "grain", "booger", "firework", "carrot", "pile"]
date
["checkers", "grain", "firework", "carrot"]
40
4
6
1
0
2,379
["checkers", "grain", "booger", "firework", "carrot", "pile"]
burst
["booger", "firework"]
0
2
6
1
0
2,380
["diamond", "hot", "digit", "collection", "wrinkled"]
overpriced
["diamond", "digit"]
67
2
5
1
0
2,381
["diamond", "hot", "digit", "collection", "wrinkled"]
characters
["diamond", "wrinkled"]
67
2
5
1
0
2,382
["diamond", "hot", "digit", "collection", "wrinkled"]
count
["hot", "digit"]
100
2
5
0.83
0.24
2,383
["diamond", "hot", "digit", "collection", "wrinkled"]
affluent
["diamond", "collection"]
67
2
5
1
0
2,384
["diamond", "hot", "digit", "collection", "wrinkled"]
patriarch
["diamond", "wrinkled"]
0
2
5
1
0
2,385
["coral", "pulp", "contract", "cream cheese", "carpet", "wigwam"]
scratch
["pulp", "carpet", "wigwam"]
0
3
6
1
0
2,386
["coral", "pulp", "contract", "cream cheese", "carpet", "wigwam"]
spread
["cream cheese", "carpet"]
67
2
6
1
0
2,387
["coral", "pulp", "contract", "cream cheese", "carpet", "wigwam"]
mortgage
["contract", "wigwam"]
100
2
6
1
0
2,388
["clockwise", "railing", "tablet", "urn", "dig", "ebay"]
logo
["railing", "ebay"]
67
2
6
1
0
2,389
["clockwise", "railing", "tablet", "urn", "dig", "ebay"]
annular
["clockwise", "dig"]
67
2
6
1
0
2,390
["clockwise", "railing", "tablet", "urn", "dig", "ebay"]
secondhand
["tablet", "ebay"]
67
2
6
1
0
2,391
["diarrhea", "bake", "crystal", "thorn", "tooth", "push"]
groan
["diarrhea", "push"]
67
2
6
1
0
2,392
["diarrhea", "bake", "crystal", "thorn", "tooth", "push"]
roots
["thorn", "tooth"]
67
2
6
1
0
2,393
["diarrhea", "bake", "crystal", "thorn", "tooth", "push"]
dump
["diarrhea", "bake"]
100
2
6
1
0
2,394
["diarrhea", "bake", "crystal", "thorn", "tooth", "push"]
pain
["thorn", "tooth", "push"]
50
3
6
1
0
2,395
["mammoth", "yawn", "lotion", "cape", "cocoa"]
crimson
["yawn", "cape"]
0
2
5
1
0
2,396
["mammoth", "yawn", "lotion", "cape", "cocoa"]
drape
["yawn", "cape"]
67
2
5
1
0
2,397
["mammoth", "yawn", "lotion", "cape", "cocoa"]
reaction
["yawn", "cocoa"]
67
2
5
1
0
2,398
["heroin", "moth", "triangle", "papyrus", "photo", "wire"]
surge
["heroin", "wire"]
0
2
6
1
0
2,399