Datasets:
algorithmist-girl
/
test

Dataset card Data Studio Files
xet
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
395379
Is there a note on the wall above the stove?
395,379,000
395,379
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
395379
What is this room?
395,379,001
395,379
[ "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen" ]
kitchen
395379
How many cups are shown?
395,379,002
395,379
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
395379
How many small appliances can you spot?
395,379,003
395,379
[ "4", "4", "3", "3", "5", "4", "5", "5", "3", "3" ]
3
395379
What color is the wall?
395,379,004
395,379
[ "white", "white", "white", "white", "white", "white", "white", "white", "white", "white" ]
white
395379
Can the plates above the cabinets be eaten off of?
395,379,005
395,379
[ "no", "yes", "no", "no", "no", "yes", "yes", "no", "yes", "no" ]
no
395379
Is the kitchen messy?
395,379,006
395,379
[ "yes", "no", "no", "yes", "no", "no", "no", "no", "yes", "somewhat" ]
no
2164
How many sheep are there?
2,164,000
2,164
[ "20", "13", "17", "18", "17", "15", "15", "15", "18", "15" ]
15
2164
What kind of building is in the background?
2,164,001
2,164
[ "house", "barn", "mountains", "farmhouse", "barn", "barn and house", "shed", "barn", "barn", "house" ]
barn
2164
What color is the barn?
2,164,002
2,164
[ "green", "blue", "gray", "blue", "blue", "gray", "green", "green", "grayish blue", "blue" ]
blue
2164
How old is the average age of the sheep in the image?
2,164,003
2,164
[ "2", "3", "5", "10", "2", "2 years", "young", "2", "5", "2" ]
2
2164
What color is the ground?
2,164,004
2,164
[ "green", "green", "green", "green", "green", "green", "green", "green", "green", "green" ]
green
2164
Are there any stones on the grass?
2,164,005
2,164
[ "no", "no", "yes", "no", "no", "yes", "no", "no", "no", "no" ]
no
133237
How big is the elephant?
133,237,000
133,237
[ "large and small", "1 big, 1 small", "large", "1000 lbs", "small", "20 feet", "huge", "large", "1000 pounds", "small" ]
large
133237
Is this a mother and child?
133,237,001
133,237
[ "yes", "mother", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133237
Are they in their natural environment?
133,237,002
133,237
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133237
How many elephants are there?
133,237,003
133,237
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
395382
What emergency vehicle would likely pull up to this device?
395,382,000
395,382
[ "fire truck", "fire truck", "fire truck", "fire truck", "fire truck", "fire truck", "fire truck", "fire truck", "fire truck", "fire truck" ]
fire truck
395382
Are the kids wearing the same color clothes?
395,382,001
395,382
[ "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes" ]
yes
395382
What are the kids playing on?
395,382,002
395,382
[ "fire hydrant", "fire hydrant", "fire hydrant", "fire hydrant", "fire hydrant", "fire hydrant", "fire hydrant", "hydrant", "fire hydrant", "fire hydrant" ]
fire hydrant
526456
What kind of animal is this?
526,456,000
526,456
[ "cow", "cows", "cows", "cow", "cow", "cow", "cow", "cow", "cow", "cow" ]
cow
526456
How many cows are in this picture?
526,456,001
526,456
[ "4", "4", "4", "4", "4", "3", "3", "4", "3", "4" ]
4
526456
Are all the animals cows?
526,456,002
526,456
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
526456
What is that blue thing behind the cow?
526,456,003
526,456
[ "bucket", "bucket", "bucket", "bucket", "bucket", "bucket", "bucket for milk", "bucket", "bucket", "bucket" ]
bucket
526456
How many cows?
526,456,004
526,456
[ "4", "3", "3", "4", "4", "4", "4", "4", "4", "4" ]
4
2171
What color are the surfboards?
2,171,000
2,171
[ "white", "black and white", "white", "white", "white", "white", "white", "white", "white", "white" ]
white
2171
What are the people are doing?
2,171,001
2,171
[ "surfing", "surfing", "swimming", "about to surf", "surfing", "sitting on surfboards", "waiting for wave", "surfing", "surfing", "surfing" ]
surfing
2171
What are the people doing?
2,171,002
2,171
[ "surfing", "surfing", "surfing", "surfing", "surfing", "swimming", "surfing", "surfing", "surfing", "surfing" ]
surfing
2171
How many females do you see?
2,171,003
2,171
[ "3", "3", "2", "2", "2", "2", "3", "1", "3", "3" ]
3
2171
Are these people sunbathing?
2,171,004
2,171
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
395388
Is the man in the Red Hat in motion?
395,388,000
395,388
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
395388
What are the people looking at?
395,388,001
395,388
[ "sheep", "livestock", "sheep", "pigs", "livestock", "livestock", "animals", "sheep", "sheep", "livestock" ]
sheep
395388
Is this a farm?
395,388,002
395,388
[ "yes", "yes", "yes", "no", "yes", "yes", "yes", "no", "no", "no" ]
yes
133251
What color is the animal?
133,251,000
133,251
[ "black", "black, brown, white", "black", "black, white", "black", "black and white", "brown", "black and white", "black", "brown" ]
black
133251
What kind of dog is this?
133,251,001
133,251
[ "tired one", "springer", "collie", "australian shepherd", "mixed", "terrier", "shepherd", "border collie", "sheepdog", "mixed breed" ]
tired one
133251
Are these animals possibly from the same mother?
133,251,002
133,251
[ "no", "yes", "no", "yes", "no", "no", "no", "yes", "no", "yes" ]
no
133251
What color is the larger dog?
133,251,003
133,251
[ "black", "black", "black and white", "black", "black", "black", "black", "black", "black", "black" ]
black
133251
Is this a picture taken recently?
133,251,004
133,251
[ "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes" ]
yes
133251
Does the dog like hats?
133,251,005
133,251
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
133251
What color is the dog?
133,251,006
133,251
[ "black", "black", "black", "black", "black", "gray", "black", "black white", "black", "black" ]
black
133251
Does this dog have a black nose?
133,251,007
133,251
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133251
What breed of dog is this canine?
133,251,008
133,251
[ "collie", "mutt", "collie", "shih tzu", "collie", "blue heeler", "border collie", "shepherd", "collie", "australian shepherd" ]
collie
133251
Is this animal large?
133,251,009
133,251
[ "small", "no", "no", "no", "no", "no", "no", "no", "yes", "no" ]
no
133251
What is the animal inside of?
133,251,010
133,251
[ "dog bed", "bed", "cushion", "dog", "bed", "bed", "bed", "dog bed", "pet bed", "dog bed" ]
bed
133251
What is the breed of the dog in this picture?
133,251,011
133,251
[ "sheltie", "mixed", "mud", "cocker spaniel", "sheltie", "not sure", "mutt", "australian shepherd", "mutt", "collie" ]
sheltie
133251
What colors are the dog?
133,251,012
133,251
[ "black and white", "black/brown", "black and white", "black and brown", "black", "black, gray, white", "gray", "black and white", "black, gray, brown", "black and white" ]
black and white
133251
What is the dog sitting in?
133,251,013
133,251
[ "bed", "dog bed", "dog bed", "dog bed", "bed", "dog bed", "dog bed", "dog bed", "bed", "bed" ]
dog bed
133251
What is the dog doing?
133,251,014
133,251
[ "sleeping", "sleeping", "laying down", "sleeping", "sleeping", "sleeping", "sleeping", "sleeping", "laying down", "sleeping" ]
sleeping
133251
Is the dog wearing a collar?
133,251,015
133,251
[ "yes", "no", "no", "yes", "no", "yes", "no", "no", "yes", "no" ]
no
133251
Is there a door in this picture?
133,251,016
133,251
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
133251
What is the dog wearing?
133,251,017
133,251
[ "nothing", "nothing", "collar", "collar", "nothing", "nothing", "nothing", "collar", "collar", "fur" ]
nothing
133251
What is the cat doing?
133,251,018
133,251
[ "sleeping", "sleeping", "sleeping", "sleeping", "sleeping", "sleeping", "sleeping", "sleeping", "sleeping", "sleeping" ]
sleeping
133251
Is the dog's paw on a tray?
133,251,019
133,251
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
133251
Does this animal take walks on leashes?
133,251,020
133,251
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133251
What color is the dog's paws?
133,251,021
133,251
[ "white", "white", "black and white", "white", "white", "white", "black", "black", "black", "white" ]
white
133251
What is on the bed other than the animals?
133,251,022
133,251
[ "cushion", "fabric", "nothing", "cushion", "nothing", "fur", "quilt", "fur", "pillow", "fabric" ]
cushion
133251
What color is the cat?
133,251,023
133,251
[ "white", "white", "white", "white", "white", "white", "gray", "black", "black", "white" ]
white
133251
Is this animal likely to get cold soon?
133,251,024
133,251
[ "no", "no", "yes", "no", "no", "no", "no", "no", "no", "no" ]
no
395402
How many dogs can you see?
395,402,000
395,402
[ "no", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
395402
Is the dog sitting on the ground?
395,402,001
395,402
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no", "no", "yes" ]
yes
395402
What kind of dog is this?
395,402,002
395,402
[ "schnauzer", "terrier", "terrier", "mutt", "terrier", "terrier", "terrier", "yorkshire", "yorkie", "terrier" ]
terrier
395402
Is this a domesticated animal?
395,402,003
395,402
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
395402
Is the dog alert?
395,402,004
395,402
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
395402
Why is the dog jumping?
395,402,005
395,402
[ "attention", "he isn't", "for treat", "hungry", "no", "treat", "not", "dog is not jumping", "dog is not jumping", "food" ]
dog is not jumping
395402
What is the shape of the dog's collar tag?
395,402,006
395,402
[ "circle", "strap type", "round", "circular", "circular", "red/brown", "circle", "round", "round", "pink" ]
round
395402
What color is the dog's eye?
395,402,007
395,402
[ "brown", "brown", "black", "brown", "brown", "brown", "dark brown", "brown", "black", "brown" ]
brown
395402
What color can you see in the dogs eye's?
395,402,008
395,402
[ "brown", "black", "brown", "white", "brown", "brown", "brown", "brown", "black", "brown" ]
brown
395405
Is there a blue sofa?
395,405,000
395,405
[ "no", "no", "no", "yes", "no", "no", "no", "no", "yes", "no" ]
no
395405
Are the blinds open?
395,405,001
395,405
[ "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes", "no", "yes" ]
yes
395405
Which room in the house is shown?
395,405,002
395,405
[ "living room", "living room", "living room", "living room", "living room", "living room", "living room", "living room", "living room", "living room" ]
living room
395405
What's on the shelf in the corner?
395,405,003
395,405
[ "books", "dvds", "books", "dvds and cds", "dvds", "books", "newspaper", "dvd", "plants", "books" ]
books
395405
How many sofas are in the room?
395,405,004
395,405
[ "2", "2", "2", "2", "2", "2", "4", "2", "2", "2" ]
2
2191
What is the woman standing on?
2,191,000
2,191
[ "surfboard", "board", "surfboard", "surfboard", "surfboard", "surfboard", "surfboard", "in water", "surfboard", "surfboard" ]
surfboard
2191
What color is her shirt?
2,191,001
2,191
[ "black", "black", "black", "black", "black", "black", "black", "black", "blue", "black" ]
black
2191
What is this person riding?
2,191,002
2,191
[ "surfboard", "surfboard", "surfboard", "board", "surfboard", "surfboard", "surfboard", "surfing", "surfboard", "surfboard" ]
surfboard
2191
Where is she?
2,191,003
2,191
[ "california", "water", "on ocean", "ocean", "ocean", "ocean", "ocean", "ocean", "beach", "surfing" ]
ocean
2191
What is the woman wearing?
2,191,004
2,191
[ "wetsuit", "wetsuit", "wetsuit", "body glove", "wetsuit", "wetsuit", "wetsuit", "wetsuit", "wetsuit", "wetsuit" ]
wetsuit
264336
How many people is the bike designed for?
264,336,000
264,336
[ "2", "2", "2", "2", "2", "2", "2", "2", "1", "2" ]
2
264336
What color is this person's shirt?
264,336,001
264,336
[ "red", "red", "red", "red", "red", "red", "red", "red", "red", "red" ]
red
264336
Is the bike rider heading East or West?
264,336,002
264,336
[ "east", "east", "east", "east", "east", "east", "east", "west", "west", "there is no way to determine this" ]
east
264336
Is the person male or female?
264,336,003
264,336
[ "male", "male", "male", "male", "male", "male", "male", "male", "male", "male" ]
male
264338
What room in the house are the people in?
264,338,000
264,338
[ "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen" ]
kitchen
264338
What are the people attempting to eat?
264,338,001
264,338
[ "not sure", "sandwich", "sandwich", "hamburger", "sandwich", "sandwich", "sandwich", "sandwich", "big sandwich", "large sandwich" ]
sandwich
264338
What are they eating?
264,338,002
264,338
[ "sandwich", "sandwich", "sandwich", "bread", "sandwich", "burger", "yes", "large sandwich", "sandwich", "sandwich" ]
sandwich
526486
Are there leaves in the orange baskets?
526,486,000
526,486
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
526486
What kind of containers are holding the oranges?
526,486,001
526,486
[ "baskets", "baskets", "baskets", "wicker baskets", "baskets", "baskets", "baskets", "baskets", "basket", "wicker basket" ]
baskets
526486
Why are there stickers on the oranges?
526,486,002
526,486
[ "price tags", "prices", "price", "price", "prices", "price", "no idea", "to sell", "price", "price tag" ]
price
526486
Which bowl has more oranges?
526,486,003
526,486
[ "right", "unclear", "one on left", "all baskets are full", "front", "not sure", "can't tell", "right bowl", "left one", "front" ]
front
264347
What is this room?
264,347,000
264,347
[ "kitchen", "kitchen", "kitchen", "kitchen", "white", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen" ]
kitchen
264347
What color is the countertop?
264,347,001
264,347
[ "navy blue", "blue", "blue", "blue", "gray", "gray", "black", "gray", "gray", "blue" ]
blue
264347
Are there curtains on the window?
264,347,002
264,347
[ "yes", "white", "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes" ]
yes
133279
What color car is the farthest left?
133,279,000
133,279
[ "black", "black", "black", "black", "black", "black", "black", "black", "red", "black" ]
black
133279
Is the car an SUV?
133,279,001
133,279
[ "yes", "no", "mp", "no", "no", "yes", "no", "no", "no", "no" ]
no
133279
How many cars are in the image?
133,279,002
133,279
[ "13", "12", "15", "9", "15", "13", "12", "14", "20", "12" ]
12
133279
Is it snowing?
133,279,003
133,279
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
2212
What color is the pillow?
2,212,000
2,212
[ "patterned", "beige and black", "beige", "beige and browns with designs", "tan", "multi-colored", "green", "green", "blue", "brown and white" ]
green
2212
Do the dogs seem to like one another?
2,212,001
2,212
[ "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes" ]
yes
2212
Are the two dogs the same breed?
2,212,002
2,212
[ "no", "no", "no", "no", "no", "no", "no", "yes", "no", "no" ]
no
2212
What is the dog sitting between?
2,212,003
2,212
[ "other dogs", "dogs", "sheet", "couch", "other dogs", "cover", "couch cushions", "pillows", "other dogs", "cushions" ]
other dogs
2212
What type of wood is the floor likely made of?
2,212,004
2,212
[ "wood", "plywood", "oak", "oak", "oak", "oak", "mahogany", "oak", "oak", "pine" ]
oak