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
2212
What kind of dog is on the bed?
2,212,005
2,212
[ "pitbull", "lab", "chihuahua and two other dogs on couch", "labrador", "rottweiler", "pitbull", "pitbull", "rottweiler", "pitbull", "pitbull" ]
pitbull
2212
What is the purpose of covering the sofa with the blanket?
2,212,006
2,212
[ "protection", "protection", "keep it clean", "protection", "prevent dog hair", "protect from fur", "shedding", "protection", "keep it clean", "to keep animal hair off" ]
protection
133291
Are they drinking beer?
133,291,000
133,291
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133291
Where are they eating?
133,291,001
133,291
[ "outdoors", "pizza", "pizza", "outside", "pizza", "pizza", "pizza", "outside", "pizza", "pizza" ]
pizza
133291
What color are the flowers?
133,291,002
133,291
[ "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow" ]
yellow
153288
Is this a costume?
153,288,000
153,288
[ "no", "yes", "no", "no", "no", "no", "no", "no", "yes", "no" ]
no
153288
Who is holding the umbrella?
153,288,001
153,288
[ "nobody", "sand", "toy", "stormtrooper", "alien", "stormtrooper", "robot", "toy", "stormtrooper", "robot" ]
stormtrooper
153288
Is there an umbrella in the picture?
153,288,002
153,288
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
153288
Is it wet outside?
153,288,003
153,288
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
153288
Is the figurine life size?
153,288,004
153,288
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
153288
What is the color of the first umbrella?
153,288,005
153,288
[ "pink", "pink", "pink", "pink", "yellow, orange", "pink", "pink", "pink", "pink", "pink" ]
pink
264375
What color is the street light in the background?
264,375,000
264,375
[ "red", "red", "red", "red", "red", "red", "red", "red", "red", "red" ]
red
264375
What color is the apron?
264,375,001
264,375
[ "white", "white", "white", "white", "white", "white", "white", "white", "white", "white" ]
white
264375
What color is the man's cap?
264,375,002
264,375
[ "red", "red", "red", "red", "red/white", "red and white", "red", "red", "red", "red" ]
red
2235
WHAT game is the man playing?
2,235,000
2,235
[ "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis" ]
tennis
2235
What color is the man's shirt?
2,235,001
2,235
[ "blue", "teal", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "teal" ]
blue
2235
Does this man look like he is sweating?
2,235,002
2,235
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
395452
What is on the plate?
395,452,000
395,452
[ "carrots, chicken", "food", "food", "food", "food", "dinner", "dinner", "food", "food", "food" ]
food
395452
Is the food burnt?
395,452,001
395,452
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
395452
What color is the dish the food is in?
395,452,002
395,452
[ "green", "green", "green", "green", "lime green", "tan, orange, green", "green", "green", "plate", "yellow" ]
green
395452
Would this meal typically be served at breakfast?
395,452,003
395,452
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
395452
What is green?
395,452,004
395,452
[ "plate", "pesto", "plate", "broccoli", "broccoli", "dip", "unknown", "plate", "plate", "guacamole" ]
plate
264382
What sport are they playing?
264,382,000
264,382
[ "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball" ]
baseball
264382
What is the players job in the foreground?
264,382,001
264,382
[ "throw ball", "pitcher", "pitchers", "pitcher", "coach", "pitcher", "pitcher", "pitcher", "to pitch ball", "pitcher" ]
pitcher
264382
Which hand holds the ball?
264,382,002
264,382
[ "right", "right", "right", "right", "right", "right", "right", "pitcher", "right", "right" ]
right
264382
Is the pitcher in this photo?
264,382,003
264,382
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
264382
What color is the grass?
264,382,004
264,382
[ "green", "green", "green", "green", "green", "green", "green", "green", "green", "green" ]
green
264382
What sport is being played?
264,382,005
264,382
[ "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball" ]
baseball
264382
Is this man using his whole body to throw the ball?
264,382,006
264,382
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
2239
Is this at a school?
2,239,000
2,239
[ "no", "no", "yes", "no", "no", "yes", "no", "no", "yes", "no" ]
no
2239
Is this professional or amateur photography?
2,239,001
2,239
[ "amatuer", "amateur", "amateur", "amateur", "amateur", "amateur", "amateur", "amateur", "amateur", "amatuer" ]
amateur
2239
What is the letter on her tennis racquet?
2,239,002
2,239
[ "p", "p", "p", "p", "p", "p", "p", "p", "p", "p" ]
p
2239
Is the little girl a complete novice at playing tennis?
2,239,003
2,239
[ "yes", "no", "no", "yes", "yes", "yes", "yes", "yes", "no", "yes" ]
yes
2239
What gender is it?
2,239,004
2,239
[ "female", "female", "female", "female", "female", "female", "female", "female", "female", "female" ]
female
2239
Is this a professional tennis player?
2,239,005
2,239
[ "no", "no child", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
2239
How hard did she hit the tennis ball?
2,239,006
2,239
[ "not hard", "not very hard", "cannot tell", "not very hard", "not hard", "very", "not hard", "not very", "no", "not hard" ]
not hard
2239
What color line is painted on the ground under the racket?
2,239,007
2,239
[ "white", "white", "white", "white", "white", "white", "gray", "white", "white", "gray and white" ]
white
2239
What color is the cone?
2,239,008
2,239
[ "orange", "orange", "orange", "orange", "orange", "red", "orange", "red", "orange", "orange" ]
orange
2239
What color are the wires on the racket?
2,239,009
2,239
[ "white", "white", "white and black", "white", "white", "white", "white", "white", "white", "white" ]
white
2240
How many teddy bears are in the scene?
2,240,000
2,240
[ "2", "3", "3", "3", "3", "3", "3", "3", "4", "4" ]
3
2240
What kind of toys is shown?
2,240,001
2,240
[ "stuffed animals and dolls", "stuffed animals", "dolls", "stuffed", "stuffed", "stuffed toys", "teddy bear and doll", "stuffed animals", "bears and doll", "stuffed" ]
stuffed
2240
Are the dolls weird?
2,240,002
2,240
[ "no", "yes", "yes", "no", "yes", "yes", "yes", "yes", "no", "yes" ]
yes
264385
Are there multiple serving dishes on the table?
264,385,000
264,385
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
264385
What text is on the computer?
264,385,001
264,385
[ "chay", "chay", "chay", "chay", "chay", "chay", "chay", "chay", "chay", "chay" ]
chay
264385
What famous image is emulated on the laptop?
264,385,002
264,385
[ "chio", "chay", "che", "apple", "apple", "che guevara", "apple", "che", "apple", "chay" ]
apple
264385
What number of stickers are on this laptop?
264,385,003
264,385
[ "che guevara", "2", "1", "2", "2", "2", "1", "2", "1", "2" ]
2
264385
What kind of power would be needed to run this device?
264,385,004
264,385
[ "electric", "electricity", "battery", "battery", "electric", "electricity", "electricity", "electric", "electricity", "battery or power cord" ]
electricity
264385
Does the mouse have a cord?
264,385,005
264,385
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
264385
How mine laptops are their?
264,385,006
264,385
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
264385
Is the mouse cordless?
264,385,007
264,385
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
395462
What are they standing on?
395,462,000
395,462
[ "grass", "grass", "grass", "grass", "grass", "grass", "ground", "grass", "grass", "yes" ]
grass
395462
Is the man outside?
395,462,001
395,462
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
395462
Does the main color of the man's tee shirt appear on the surfboard?
395,462,002
395,462
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
395462
What is the man holding?
395,462,003
395,462
[ "surfboard", "surfboard", "surfboard", "surfboard", "surfboard", "surfboard", "surfboard", "surfboard", "surfboard", "surfboard" ]
surfboard
395463
Do the people look bored?
395,463,000
395,463
[ "yes", "no", "yes", "yes", "yes", "no", "yes", "no", "yes", "yes" ]
yes
395463
How many people are watching the man?
395,463,001
395,463
[ "4", "4", "5", "4", "5", "4", "4", "4", "4", "4" ]
4
395463
Is there any meat in the picture?
395,463,002
395,463
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
395463
What is the box made out of?
395,463,003
395,463
[ "styrofoam", "styrofoam", "plastic", "styrofoam", "styrofoam", "plastic", "plastic", "plastic", "plastic", "plastic" ]
plastic
395463
Is this a cooking class?
395,463,004
395,463
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes" ]
yes
395463
What is the man making?
395,463,005
395,463
[ "food", "beef", "food", "meal with ground beef", "hamburger", "food", "food", "meatballs", "meal", "burgers" ]
food
395463
Where was the picture taken of the chefs?
395,463,006
395,463
[ "kitchen", "kitchen", "restaurant", "restaurant", "restaurant", "table", "at cooking school", "restaurant", "class", "cooking class" ]
restaurant
395463
What is this man cutting?
395,463,007
395,463
[ "meat", "meat", "food", "meat", "unknown", "nothing", "meat", "nothing", "nothing", "food" ]
meat
395463
Is the chef primarily using a microwave?
395,463,008
395,463
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
526536
What type of food is this?
526,536,000
526,536
[ "quiche", "personal pan pizza", "casserole", "deep dish pizza", "pizza", "pizza", "pizza", "pizza", "pizza", "pizza" ]
pizza
526536
Is any of the food burnt?
526,536,001
526,536
[ "yes", "no", "no", "yes", "no", "yes", "no", "no", "no", "no" ]
no
526536
Do you see any napkins?
526,536,002
526,536
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
526536
What utensil is closest to the pizza?
526,536,003
526,536
[ "fork", "fork", "fork", "fork", "fork", "fork", "fork", "fork", "fork", "fork" ]
fork
526536
What color is the napkin?
526,536,004
526,536
[ "white", "white", "white", "white", "white", "white", "white", "white", "white", "white" ]
white
526536
How many types of utensils are on the table?
526,536,005
526,536
[ "1", "1", "1", "1", "3", "1", "1", "1", "1", "1" ]
1
526536
Are there olives on the pizza?
526,536,006
526,536
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
526536
Is this a pizza for more than one person?
526,536,007
526,536
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
133327
What vehicle is parked on the far left?
133,327,000
133,327
[ "tricycle", "sedan", "motorcycle", "bike", "dirt bike", "motorbike", "bike", "motorcycle", "car", "bike" ]
bike
133327
What is this person doing?
133,327,001
133,327
[ "skateboarding", "skateboarding", "skateboarding", "skateboarding", "skateboarding", "skateboarding", "skateboarding", "skateboarding", "skateboarding trick", "skateboarding" ]
skateboarding
133327
Is there a lot of concrete?
133,327,002
133,327
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
2261
Is this a man or a woman surfing?
2,261,000
2,261
[ "man", "man", "man", "man", "man", "man", "man", "man", "man", "man" ]
man
2261
Is this water green?
2,261,001
2,261
[ "yes", "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
2261
What is he doing?
2,261,002
2,261
[ "swimming", "bodyboarding", "surfing", "body surfing", "surfing", "surfing", "boogie boarding", "swimming", "surfboarding", "surfing" ]
surfing
2261
Did the wave get larger after this image was taken?
2,261,003
2,261
[ "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no" ]
yes
306212
Which room of the house is this?
306,212,000
306,212
[ "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen", "kitchen" ]
kitchen
306212
What is the refrigerator made of?
306,212,001
306,212
[ "metal", "steel", "metal", "stainless steel", "stainless steel", "stainless", "stainless steel", "stainless steel", "metal", "steel" ]
stainless steel
306212
What color are the cabinets?
306,212,002
306,212
[ "brown", "brown", "brown", "brown", "brown", "brown", "brown", "brown", "brown", "brown" ]
brown
526555
Are both men wearing ties?
526,555,000
526,555
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
526555
Where is the man standing?
526,555,001
526,555
[ "ground", "not standing", "bar", "bar", "at table", "at bar", "floor", "table", "bar", "chair" ]
bar
526555
How many women are facing the camera?
526,555,002
526,555
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
526555
What is the pattern on the man's tie?
526,555,003
526,555
[ "cheetah", "leopard", "leopard print", "spotted", "leopard", "cheetah", "cheetah", "cheetah", "leopard", "leopard" ]
cheetah
526555
What color is the lid on the bottle?
526,555,004
526,555
[ "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue" ]
blue
526555
How many women are there?
526,555,005
526,555
[ "2", "3", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
526555
How many brown bottles are on the table?
526,555,006
526,555
[ "1", "0", "0", "0", "0", "0", "0", "0", "0", "1" ]
0
133343
Is the man out at night?
133,343,000
133,343
[ "it's hard to tell", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133343
Did he shave today?
133,343,001
133,343
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
133343
What type of sunglasses is the man wearing?
133,343,002
133,343
[ "aviator", "tinted", "regular", "black", "big ones", "not sure", "polarized", "black", "shades", "oakley" ]
black
133343
How many piercings are visible?
133,343,003
133,343
[ "2", "2", "2", "1", "2", "2", "3", "2", "2", "2" ]
2
133343
Is he smoking?
133,343,004
133,343
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
526560
Is the zebra free?
526,560,000
526,560
[ "sorta", "no", "no", "no", "no", "yes", "no", "no", "yes", "no" ]
no
526560
What is behind the zebra?
526,560,001
526,560
[ "fence", "fence", "fence", "trees", "fence", "trees", "fence", "fence", "fence", "fence" ]
fence
526560
Is the zebra drinking?
526,560,002
526,560
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
526560
Is the zebra eating something?
526,560,003
526,560
[ "no", "yes", "yes", "yes", "no", "yes", "yes", "yes", "no", "yes" ]
yes
526560
Is the grass low cut?
526,560,004
526,560
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
264420
What color is the animal?
264,420,000
264,420
[ "gray", "gray", "gray", "gray", "brown/gray", "gray", "gray", "brown", "gray", "gray" ]
gray
264420
Is there any pavement?
264,420,001
264,420
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no