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
["poo", "champagne", "vein", "mascara", "eye", "trash"]
waste
["poo", "trash"]
0
2
6
1
0
1,600
["poo", "champagne", "vein", "mascara", "eye", "trash"]
disgust
["poo", "trash"]
0
2
6
1
0
1,601
["cantaloupe", "laptop", "car", "computer", "rainforest", "engine"]
internet
["laptop", "computer"]
0
2
6
1
0
1,602
["church", "popcorn", "diner", "bible", "gown", "mane"]
oath
["church", "bible"]
0
2
6
1
0
1,603
["church", "popcorn", "diner", "bible", "gown", "mane"]
holy
["church", "bible"]
0
2
6
1
0
1,604
["church", "popcorn", "diner", "bible", "gown", "mane"]
church
["church", "bible"]
0
2
6
1
0
1,605
["church", "popcorn", "diner", "bible", "gown", "mane"]
event
["church", "gown", "mane"]
50
3
6
0.83
0.24
1,606
["church", "popcorn", "diner", "bible", "gown", "mane"]
sacred
["church", "bible"]
0
2
6
1
0
1,607
["book", "green", "money", "lectern", "acrobat"]
green
["green", "money"]
67
2
5
1
0
1,608
["mars", "steer", "map", "radish", "ship", "compass"]
exports
["map", "ship"]
67
2
6
1
0
1,609
["mars", "steer", "map", "radish", "ship", "compass"]
imports
["map", "ship"]
67
2
6
1
0
1,610
["mars", "steer", "map", "radish", "ship", "compass"]
traverse
["map", "ship", "compass"]
80
3
6
1
0
1,611
["wolf", "cement", "cabbage", "money", "pan", "cent"]
change
["money", "cent"]
67
2
6
1
0
1,612
["wolf", "cement", "cabbage", "money", "pan", "cent"]
receipt
["money", "cent"]
67
2
6
1
0
1,613
["wolf", "cement", "cabbage", "money", "pan", "cent"]
wealth
["money", "cent"]
0
2
6
1
0
1,614
["wolf", "cement", "cabbage", "money", "pan", "cent"]
green
["cabbage", "money"]
67
2
6
1
0
1,615
["wolf", "cement", "cabbage", "money", "pan", "cent"]
debt
["money", "cent"]
67
2
6
1
0
1,616
["music", "brass", "shoe", "instrument", "badger"]
leather
["shoe", "badger"]
100
2
5
1
0
1,617
["reed", "people", "talk", "knoll", "cream", "astronaut"]
meet
["people", "talk", "knoll"]
50
3
6
1
0
1,618
["reed", "people", "talk", "knoll", "cream", "astronaut"]
empty
["knoll", "astronaut"]
0
2
6
1
0
1,619
["reed", "people", "talk", "knoll", "cream", "astronaut"]
human
["people", "astronaut"]
67
2
6
1
0
1,620
["gladiator", "player", "video", "flag", "computer"]
country
["player", "flag"]
67
2
5
1
0
1,621
["gladiator", "player", "video", "flag", "computer"]
compete
["gladiator", "player"]
67
2
5
1
0
1,622
["gladiator", "player", "video", "flag", "computer"]
victorious
["gladiator", "player"]
0
2
5
1
0
1,623
["gladiator", "player", "video", "flag", "computer"]
grinning
["player", "computer"]
67
2
5
1
0
1,624
["butter", "barbecue", "food", "wheat", "blackberry", "sandwich"]
full
["barbecue", "food", "sandwich"]
50
3
6
0.83
0.24
1,625
["butter", "barbecue", "food", "wheat", "blackberry", "sandwich"]
gluten
["wheat", "sandwich"]
67
2
6
1
0
1,626
["wire", "metal", "swim", "crying", "police", "penny"]
tools
["wire", "metal"]
0
2
6
1
0
1,627
["wire", "metal", "swim", "crying", "police", "penny"]
conductive
["wire", "metal", "penny"]
0
3
6
0.83
0.24
1,628
["wire", "metal", "swim", "crying", "police", "penny"]
blue
["swim", "crying", "police"]
50
3
6
1
0
1,629
["wire", "metal", "swim", "crying", "police", "penny"]
metallic
["metal", "penny"]
67
2
6
1
0
1,630
["dollar", "coin", "kiwi", "submarine", "money"]
chin
["dollar", "coin"]
67
2
5
1
0
1,631
["dollar", "coin", "kiwi", "submarine", "money"]
loot
["dollar", "coin", "money"]
50
3
5
1
0
1,632
["dollar", "coin", "kiwi", "submarine", "money"]
fiat
["dollar", "coin", "money"]
0
3
5
1
0
1,633
["skate", "ketchup", "dungeon", "salt", "eggnog"]
condiment
["ketchup", "salt"]
67
2
5
1
0
1,634
["skate", "ketchup", "dungeon", "salt", "eggnog"]
taste
["ketchup", "salt", "eggnog"]
50
3
5
1
0
1,635
["skate", "ketchup", "dungeon", "salt", "eggnog"]
crave
["ketchup", "salt", "eggnog"]
50
3
5
1
0
1,636
["tablet", "globe", "brown", "dictionary", "face", "book"]
learning
["globe", "dictionary", "book"]
50
3
6
0.83
0.24
1,637
["pan", "gym", "running", "balloon", "snowman"]
outfit
["running", "snowman"]
67
2
5
1
0
1,638
["pan", "gym", "running", "balloon", "snowman"]
exercise
["gym", "running"]
67
2
5
1
0
1,639
["pan", "gym", "running", "balloon", "snowman"]
toned
["gym", "running"]
67
2
5
1
0
1,640
["pan", "gym", "running", "balloon", "snowman"]
train
["gym", "running"]
67
2
5
1
0
1,641
["pan", "gym", "running", "balloon", "snowman"]
hold
["pan", "balloon"]
0
2
5
1
0
1,642
["water", "pig", "eucalyptus", "hanging", "horse"]
legs
["pig", "hanging", "horse"]
50
3
5
1
0
1,643
["water", "pig", "eucalyptus", "hanging", "horse"]
looking
["pig", "hanging", "horse"]
50
3
5
1
0
1,644
["water", "pig", "eucalyptus", "hanging", "horse"]
coat
["pig", "horse"]
67
2
5
1
0
1,645
["water", "pig", "eucalyptus", "hanging", "horse"]
Domesticated
["pig", "horse"]
67
2
5
1
0
1,646
["bench", "jail", "farm", "child", "millipede", "police"]
arrest
["jail", "police"]
67
2
6
1
0
1,647
["bench", "jail", "farm", "child", "millipede", "police"]
detention
["jail", "police"]
0
2
6
1
0
1,648
["bench", "jail", "farm", "child", "millipede", "police"]
crime
["jail", "police"]
67
2
6
1
0
1,649
["bench", "jail", "farm", "child", "millipede", "police"]
convict
["jail", "police"]
67
2
6
1
0
1,650
["steakhouse", "green", "target", "lizard", "scales", "ninja"]
nom
["steakhouse", "scales"]
100
2
6
1
0
1,651
["steakhouse", "green", "target", "lizard", "scales", "ninja"]
circular
["target", "scales"]
67
2
6
1
0
1,652
["house", "hyena", "arcade", "paint", "licorice"]
dirt
["house", "hyena"]
67
2
5
1
0
1,653
["house", "hyena", "arcade", "paint", "licorice"]
outdoors
["house", "hyena"]
0
2
5
1
0
1,654
["note", "icy", "drop", "paper", "pad"]
reminder
["note", "paper"]
67
2
5
1
0
1,655
["note", "icy", "drop", "paper", "pad"]
leak
["drop", "pad"]
100
2
5
1
0
1,656
["square", "circle", "book", "city", "triangle"]
geometric
["square", "circle", "triangle"]
0
3
5
1
0
1,657
["square", "circle", "book", "city", "triangle"]
angle
["book", "triangle"]
67
2
5
1
0
1,658
["square", "circle", "book", "city", "triangle"]
education
["book", "triangle"]
0
2
5
1
0
1,659
["leftovers", "daddy", "scream", "baby", "mother", "parent"]
horror
["scream", "mother"]
0
2
6
1
0
1,660
["leftovers", "daddy", "scream", "baby", "mother", "parent"]
innocent
["baby", "parent"]
67
2
6
1
0
1,661
["leftovers", "daddy", "scream", "baby", "mother", "parent"]
movie
["scream", "mother"]
67
2
6
1
0
1,662
["leftovers", "daddy", "scream", "baby", "mother", "parent"]
gory
["scream", "mother"]
0
2
6
1
0
1,663
["leftovers", "daddy", "scream", "baby", "mother", "parent"]
nanny
["baby", "parent"]
0
2
6
1
0
1,664
["kid", "cola", "witness", "pop", "drink", "coke"]
hero
["kid", "witness", "pop"]
0
3
6
1
0
1,665
["kid", "cola", "witness", "pop", "drink", "coke"]
raiment
["kid", "witness", "pop"]
80
3
6
1
0
1,666
["kid", "cola", "witness", "pop", "drink", "coke"]
adopt
["kid", "witness"]
100
2
6
1
0
1,667
["kid", "cola", "witness", "pop", "drink", "coke"]
divorce
["kid", "witness"]
67
2
6
1
0
1,668
["kid", "cola", "witness", "pop", "drink", "coke"]
cocaine
["cola", "coke"]
0
2
6
1
0
1,669
["kid", "cola", "witness", "pop", "drink", "coke"]
drink
["cola", "drink", "coke"]
0
3
6
1
0
1,670
["sea", "gold", "water", "boat", "asphalt", "ship"]
sail
["boat", "ship"]
0
2
6
1
0
1,671
["green", "lemon", "melon", "pond", "fruit"]
zest
["lemon", "fruit"]
67
2
5
1
0
1,672
["green", "lemon", "melon", "pond", "fruit"]
curd
["lemon", "fruit"]
67
2
5
1
0
1,673
["green", "lemon", "melon", "pond", "fruit"]
inedible
["green", "pond"]
100
2
5
1
0
1,674
["green", "lemon", "melon", "pond", "fruit"]
juice
["lemon", "fruit"]
0
2
5
1
0
1,675
["green", "lemon", "melon", "pond", "fruit"]
orchard
["lemon", "melon", "fruit"]
50
3
5
0.83
0.24
1,676
["green", "lemon", "melon", "pond", "fruit"]
grove
["lemon", "melon", "fruit"]
80
3
5
1
0
1,677
["jack", "sponge", "water", "girl", "nun", "hill"]
scary
["jack", "nun"]
0
2
6
1
0
1,678
["jack", "sponge", "water", "girl", "nun", "hill"]
bath
["sponge", "water"]
67
2
6
1
0
1,679
["jack", "sponge", "water", "girl", "nun", "hill"]
ghastly
["jack", "nun"]
0
2
6
1
0
1,680
["jack", "sponge", "water", "girl", "nun", "hill"]
absorb
["sponge", "water"]
67
2
6
1
0
1,681
["jack", "sponge", "water", "girl", "nun", "hill"]
scrub
["sponge", "water"]
100
2
6
1
0
1,682
["jack", "sponge", "water", "girl", "nun", "hill"]
dishes
["sponge", "water"]
0
2
6
1
0
1,683
["mermaid", "fruit", "sauce", "port", "sea", "red"]
acidic
["fruit", "sauce"]
67
2
6
1
0
1,684
["mermaid", "fruit", "sauce", "port", "sea", "red"]
scents
["fruit", "sauce", "sea"]
50
3
6
0.83
0.24
1,685
["rope", "boat", "rhino", "tie", "flame"]
elements
["boat", "flame"]
67
2
5
1
0
1,686
["rope", "boat", "rhino", "tie", "flame"]
choke
["rope", "tie"]
0
2
5
1
0
1,687
["rope", "boat", "rhino", "tie", "flame"]
clothes
["boat", "tie"]
67
2
5
1
0
1,688
["food", "ballet", "cabin", "taste", "suit", "heart"]
anatomical
["ballet", "taste", "suit", "heart"]
0
4
6
1
0
1,689
["food", "ballet", "cabin", "taste", "suit", "heart"]
professional
["ballet", "suit"]
0
2
6
1
0
1,690
["food", "ballet", "cabin", "taste", "suit", "heart"]
internal
["taste", "heart"]
0
2
6
1
0
1,691
["food", "ballet", "cabin", "taste", "suit", "heart"]
clothes
["ballet", "suit"]
67
2
6
1
0
1,692
["brush", "water", "tap", "faucet", "wet", "nail"]
hair
["brush", "wet"]
0
2
6
1
0
1,693
["brush", "water", "tap", "faucet", "wet", "nail"]
bathroom
["tap", "faucet", "wet"]
50
3
6
0.83
0.24
1,694
["brush", "water", "tap", "faucet", "wet", "nail"]
tap
["tap", "faucet"]
0
2
6
1
0
1,695
["brush", "water", "tap", "faucet", "wet", "nail"]
off
["tap", "faucet"]
100
2
6
1
0
1,696
["water", "fat", "spoon", "animal", "climb"]
climb
["animal", "climb"]
0
2
5
1
0
1,697
["water", "fat", "spoon", "animal", "climb"]
before
["fat", "animal"]
67
2
5
1
0
1,698
["water", "fat", "spoon", "animal", "climb"]
clothes
["fat", "climb"]
67
2
5
1
0
1,699