Datasets:
algorithmist-girl
/
test

Dataset card Data Studio Files
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Community
1
image
stringlengths
2
6
question
stringlengths
10
100
question_id
int64
42k
582M
image_id
int64
42
582k
ground_truth
listlengths
10
10
majority_vote
stringlengths
1
78
218996
What is this type of sandwich called?
218,996,002
218,996
[ "steak", "panini", "steak", "panini", "sub", "steak", "chicken sandwich", "panini", "blt", "grilled chicken" ]
steak
265407
What does the girl have around her neck?
265,407,000
265,407
[ "hair", "nothing", "nothing", "nothing", "chain", "shirt", "collar", "hair", "shirt", "necklace" ]
nothing
265407
Are the two kneeling girls identical twins?
265,407,001
265,407
[ "no", "no", "no", "no", "no", "no", "no", "yes", "no", "no" ]
no
265407
What color socks is the girl on the ground wearing ?L?
265,407,002
265,407
[ "pink", "blue", "blue", "white", "pink", "white", "black and pink", "pink", "black", "pink" ]
pink
265407
What are the girls fighting over?
265,407,003
265,407
[ "ball", "ball", "soccer ball", "ball", "ball", "ball", "ball", "ball", "ball", "soccer ball" ]
ball
265407
Is this an example of the newest and the oldest in one photo?
265,407,004
265,407
[ "no", "no", "no", "no", "no", "newest", "no", "no", "no", "no" ]
no
265407
What color are these kids pants?
265,407,005
265,407
[ "black and white", "black", "black", "black", "blue", "blue", "black", "black", "black", "black" ]
black
265407
Is the couple in love?
265,407,006
265,407
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
265407
Are these kids in little league baseball?
265,407,007
265,407
[ "no", "no", "no", "yes", "no", "yes", "no", "no", "no", "no" ]
no
527553
What color are the trees?
527,553,000
527,553
[ "green", "green", "green", "green", "green", "green", "green", "green", "green", "green" ]
green
527553
Is the semi doing to crash into the trees?
527,553,001
527,553
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
527553
What is on the back of the truck?
527,553,002
527,553
[ "bananas", "brush", "bananas", "grass", "plants", "plants", "grass", "bananas", "bananas", "plants" ]
bananas
527558
Is the man going to pee into the water?
527,558,000
527,558
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
527558
Where is the man standing in the pic?
527,558,001
527,558
[ "by water", "on shore", "beach", "edge of water", "right middle, by water", "near river", "by water", "on shore", "shore", "shore" ]
by water
527558
What color is the dirt?
527,558,002
527,558
[ "brown", "light brown", "brown", "brown", "brown", "tan", "brown", "brown", "brown", "brown" ]
brown
134343
What season is this?
134,343,000
134,343
[ "winter", "winter", "winter", "winter", "winter", "winter", "winter", "winter", "winter", "winter" ]
winter
134343
Has someone sat on the bench today?
134,343,001
134,343
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
134343
What covering everything?
134,343,002
134,343
[ "snow", "snow", "snow", "snow", "snow", "snow", "snow", "snow", "snow", "snow" ]
snow
134346
How many bears are in the enclosure?
134,346,000
134,346
[ "2", "2", "2", "1", "1", "2", "2", "2", "2", "2" ]
2
134346
Are these bears in captivity?
134,346,001
134,346
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134346
What kind of bears are they?
134,346,002
134,346
[ "grizzly", "grizzly", "brown", "grizzly", "brown bears", "grizzly", "brown", "brown", "brown", "brown bears" ]
grizzly
396496
What color scheme is the photo taken in?
396,496,000
396,496
[ "black and white", "black and white", "black and white", "black and white", "black and white", "black and white", "black and white", "black and white", "black and white", "black and white" ]
black and white
396496
Where are the men standing?
396,496,001
396,496
[ "on platform", "street", "outside", "front", "waiting", "get on", "by train", "train station", "on platform", "platform" ]
on platform
396496
Is it a sunny day?
396,496,002
396,496
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
396496
Are there any numbers on the front of the bus?
396,496,003
396,496
[ "no", "yes", "no", "yes", "yes", "no", "no", "no", "yes", "no" ]
no
396496
What season is this?
396,496,004
396,496
[ "winter", "winter", "fall", "winter", "winter", "winter", "winter", "winter", "winter", "winter" ]
winter
396496
Are any people waiting on the platform?
396,496,005
396,496
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
396496
What type of train car is this?
396,496,006
396,496
[ "trolley", "passenger", "electric", "trolley", "mobile", "ski train", "passenger", "street", "electric", "tram" ]
trolley
396496
Is the picture taken inside or outside?
396,496,007
396,496
[ "outside", "outside", "outside", "outside", "outside", "outside", "outside", "outside", "outside", "outside" ]
outside
396496
Is it cold or hot?
396,496,008
396,496
[ "cold", "cold", "cold", "cold", "cold", "cold", "cold", "cold", "cold", "cold" ]
cold
396496
Is it snowing?
396,496,009
396,496
[ "no", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes" ]
yes
527573
Are the owners of the edifice fortunate to have the yellow thing nearby?
527,573,000
527,573
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes" ]
yes
527573
What color is the hydrant?
527,573,001
527,573
[ "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow" ]
yellow
527573
What color is the umbrella?
527,573,002
527,573
[ "red", "gray", "no umbrella", "black", "n/a", "white", "no umbrella", "black", "white", "no umbrella" ]
no umbrella
527573
Where is the fire hydrant?
527,573,003
527,573
[ "side of road", "on sidewalk", "beside street", "street", "sidewalk", "sidewalk", "on sidewalk", "on street", "in front", "on sidewalk" ]
on sidewalk
527575
Is this a penknife?
527,575,000
527,575
[ "no", "yes", "no", "no", "no", "no", "no", "maybe", "no", "yes" ]
no
527575
What is the brand of knife?
527,575,001
527,575
[ "wolf gang", "japanese brand", "ginsu", "chef's", "oz2", "bj", "japanese", "kitchenaid", "japanese", "japanese" ]
japanese
527575
What utensils are in the picture?
527,575,002
527,575
[ "knife", "knife", "knives", "knives", "knives", "knives", "knife", "chef's knives", "knives", "knives" ]
knives
527575
Are the knives going to cut each other?
527,575,003
527,575
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
527575
What color are the utensils?
527,575,004
527,575
[ "red", "black, silver", "silver and black", "black", "silver", "silver", "black", "silver", "silver and black", "black and silver" ]
silver
265433
Does the dog look like it's smiling?
265,433,000
265,433
[ "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
265433
Where are the brown faced dog's feet?
265,433,001
265,433
[ "white", "under toy", "grass", "white", "on grass", "in grass", "beneath frisbee", "grass", "ground", "on grass" ]
white
265433
What color is the dog?
265,433,002
265,433
[ "brown, black, white", "tricolor", "brown, black, and white", "white with brown and black markings", "brown, black, white", "black, brown and white", "multi", "white, black, and brown", "black", "brown and white" ]
brown, black, white
265433
What color of frisbee is in the grass?
265,433,003
265,433
[ "red and black", "red", "red", "red", "red", "red", "red", "red", "red", "red" ]
red
265433
What breed of canine is this?
265,433,004
265,433
[ "corgi", "shepard", "corgi", "shepherd", "jack russell", "bloodhound", "corgi", "shepherd dog", "collie", "beagle" ]
corgi
265433
What kind of dog is this?
265,433,005
265,433
[ "beagle", "terrier", "mutt", "german shepherd", "brown, black, and white dog", "mutt", "corgi mix", "shepard", "collie", "dalmatian" ]
mutt
265433
Is the dog hot?
265,433,006
265,433
[ "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
265433
What weather is this?
265,433,007
265,433
[ "nice", "sunny", "sunny", "sunny", "sunny", "clear", "hot", "sunny", "spring", "sunny" ]
sunny
265433
What color is the dog tag?
265,433,008
265,433
[ "blue", "blue", "purple", "blue", "blue", "blue", "blue", "blue", "blue", "blue" ]
blue
265433
What is the dog playing with?
265,433,009
265,433
[ "bag", "frisbee", "frisbee", "brisbane", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "pillow" ]
frisbee
527578
Where is the TV?
527,578,000
527,578
[ "corner of room", "behind table", "shelf", "wall", "shelf", "in corner", "on desk", "in corner", "at corner", "in corner" ]
in corner
527578
How many chairs are at the table?
527,578,001
527,578
[ "6", "6", "6", "6", "6", "6", "6", "6", "6", "6" ]
6
527578
What is on the ceiling?
527,578,002
527,578
[ "light", "light", "light", "light", "lighting", "lights", "light", "light", "light", "light" ]
light
527578
Is there a TV in the room?
527,578,003
527,578
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
527580
What is growing on the mountain?
527,580,000
527,580
[ "trees", "trees and shrubs", "trees", "trees", "trees", "trees", "trees", "trees", "trees", "trees" ]
trees
527580
How many stories is building?
527,580,001
527,580
[ "more than 4", "5", "5", "0", "4", "at least 4", "4", "10", "4", "6" ]
4
527580
The man and woman are sitting under what?
527,580,002
527,580
[ "beach umbrella", "umbrella", "canopy", "umbrella", "umbrella", "umbrella", "umbrella", "umbrella", "umbrella", "umbrella" ]
umbrella
527580
How many yellow umbrellas are there in this scene?
527,580,003
527,580
[ "5", "3", "0", "0", "0", "5", "5", "5", "0", "0" ]
0
527580
How many umbrellas are open?
527,580,004
527,580
[ "3", "3", "4", "4", "3", "3", "3", "3", "3", "3" ]
3
134366
What kind of cell phone is this?
134,366,000
134,366
[ "flip phone", "flip phone", "flip", "samsung", "flip phone", "flip phone", "flip phone", "flip phone", "flip phone", "flip phone" ]
flip phone
134366
How many stitch lines are on the inseam of these jeans?
134,366,001
134,366
[ "approximately 200", "2", "2", "2", "50", "2", "30", "2", "2", "200" ]
2
134366
Is this a man or a woman?
134,366,002
134,366
[ "man", "man", "man", "man", "man", "man", "man", "man", "man", "man" ]
man
396518
What type of plants are growing along the water?
396,518,000
396,518
[ "bamboo", "bamboo", "bamboo", "palm", "reeds", "bamboo", "bamboo", "bamboo", "not sure", "ferns" ]
bamboo
396518
What is this woman doing?
396,518,001
396,518
[ "moving boat", "rowing/pushing boat", "rowing", "rowing", "rowing gondola", "fishing", "boat", "rowing", "finishing", "paddling" ]
rowing
396518
What is the boat made of?
396,518,002
396,518
[ "wood", "wood", "wood", "wood", "wood", "wood", "wood", "wood", "wood", "wood" ]
wood
396519
What number is on the player's jersey?
396,519,000
396,519
[ "55", "55", "55", "55", "55", "55", "55", "55", "55", "55" ]
55
396519
What types of shoes are they wearing?
396,519,001
396,519
[ "cleats", "soccer", "cleats", "sneakers", "nike", "tennis shoes", "tennis shoes", "sneakers", "tennis", "cleats" ]
cleats
396519
Are these men playing a night sport?
396,519,002
396,519
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
396519
Are these men engaged in an intimate moment?
396,519,003
396,519
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
396519
What color is the grass?
396,519,004
396,519
[ "green", "green", "green", "green", "green", "green", "green", "green", "green", "green" ]
green
396519
Why does the person on the sideline have flags in their hand?
396,519,005
396,519
[ "they are referee", "team", "cheering", "fans", "to guard sidelines", "referees", "referee", "no flags", "ref", "caution" ]
they are referee
396519
Why are there cones on the ground?
396,519,006
396,519
[ "marking fields", "to make boundaries of fields", "to play game", "mark boundaries", "boundaries", "boundaries", "marking field", "barriers", "game", "guidance" ]
boundaries
396519
Is the man who is throwing arms in front or behind him?
396,519,007
396,519
[ "in front", "front", "behind", "front", "front", "front", "front", "behind", "behind", "behind" ]
front
396519
What color is the line on the grass?
396,519,008
396,519
[ "blue", "brown", "brown", "brown", "brown", "white", "brown", "orange", "brown", "white" ]
brown
459303
What color is the ground?
459,303,000
459,303
[ "brown", "brown", "green and brown", "gray", "brown/green", "brown", "brown", "black", "brown", "gray" ]
brown
459303
What is the number printed on the train?
459,303,001
459,303
[ "540", "540", "540", "540", "540", "540", "540", "540", "540", "540" ]
540
459303
What number is the train?
459,303,002
459,303
[ "540", "540", "540", "540", "540", "540", "540", "540", "540", "540" ]
540
459303
What color is the train?
459,303,003
459,303
[ "black", "black and yellow", "black", "black", "black", "black", "black", "gray and yellow", "black and yellow", "black" ]
black
3310
What color is her coat?
3,310,000
3,310
[ "red", "pink", "red", "pink", "red", "red", "red", "red", "pink", "red" ]
red
3310
What is on her head?
3,310,001
3,310
[ "hat", "hat", "hat", "hat", "hat", "beanie", "hat", "hat", "hat", "hat" ]
hat
3310
What is the girl eating?
3,310,002
3,310
[ "hot dog", "hot dog", "hot dog", "hot dog", "hot dog", "hot dog", "hot dog", "hot dog", "hot dog", "hot dog" ]
hot dog
3310
Will the sausage fit?
3,310,003
3,310
[ "no", "yes", "yes", "yes", "yes", "yes", "yes", "no", "no", "yes" ]
yes
3310
Can she take a full bite?
3,310,004
3,310
[ "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes" ]
yes
3310
What color is her jacket?
3,310,005
3,310
[ "red", "red", "pink", "pink", "red", "red", "red", "red", "red", "red" ]
red
3310
Is the hot dog too big for the bun?
3,310,006
3,310
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
546685
What is these men's profession?
546,685,000
546,685
[ "soldiers", "soldier", "soldier", "military", "soldier", "soldier", "military", "soldier", "army", "soldiers" ]
soldier
546685
Is the nearest man wearing a white shirt?
546,685,001
546,685
[ "no", "no", "no", "yes", "no", "no", "no", "no", "no", "yes" ]
no
546685
Did they just come back from surfing?
546,685,002
546,685
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
546685
Are they preparing for combat?
546,685,003
546,685
[ "yes", "yes", "yes", "no", "no", "yes", "no", "yes", "no", "yes" ]
yes
134386
How many fingers is she holding up?
134,386,000
134,386
[ "5", "5", "4", "5", "5", "5", "5", "5", "5", "5" ]
5
134386
What kind of drink is pictured on the wall?
134,386,001
134,386
[ "beer", "coffee", "cola", "coffee", "none", "coffee", "coffee", "coffee", "liquor", "coca cola" ]
coffee
134386
Are the candles lit?
134,386,002
134,386
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134386
What is the woman holding?
134,386,003
134,386
[ "cake with candles", "birthday cake", "cake", "cake", "cake", "cake", "cake", "cake", "plate", "cake" ]
cake
527603
How many tiles are on the floor?
527,603,000
527,603
[ "many", "9", "16", "10", "11", "12", "15", "10", "15", "12" ]
10
527603
Is their camera in this room?
527,603,001
527,603
[ "no", "yes", "no", "no", "yes", "no", "no", "no", "no", "no" ]
no
527603
Do the cabinets appear to be made of wood?
527,603,002
527,603
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "yes" ]
no
527603
What color is dominant?
527,603,003
527,603
[ "gray", "beige", "gray", "white", "gray", "gray", "gray", "gray", "gray", "gray" ]
gray
527603
What kind of container is on the counter?
527,603,004
527,603
[ "water bottle", "bottle", "water bottle", "bottle", "bottle", "water bottle", "water bottle", "water bottle", "water bottle", "bottle" ]
water bottle
527603
What is the appliance on the right?
527,603,005
527,603
[ "fridge", "dishwasher", "dishwasher", "dishwasher", "fridge", "dishwasher", "dishwasher", "dishwasher", "oven", "dishwasher" ]
dishwasher
527603
What color is the refrigerator?
527,603,006
527,603
[ "white", "white", "white", "white", "white", "white", "white", "white", "white", "white" ]
white