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
396580
Is there a reflection of the house in the water?
396,580,000
396,580
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
396580
How many row boats are there?
396,580,001
396,580
[ "2", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
396580
What is on the pond?
396,580,002
396,580
[ "tadpoles", "boat", "canoe", "canoe", "boat", "lily pads", "lily pads", "canoe", "boat", "lily pads" ]
boat
265518
Does the plate look like it is covered with UPC symbols?
265,518,000
265,518
[ "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
265518
What material is the fork resting on?
265,518,001
265,518
[ "concrete", "concrete", "concrete", "concrete", "concrete", "rock", "table", "concrete", "concrete", "medal" ]
concrete
265518
Could this be a breakfast meal?
265,518,002
265,518
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
3378
Are those trees at the back?
3,378,000
3,378
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
3378
What kind of event is this person participating in?
3,378,001
3,378
[ "skateboarding", "skateboarding", "skateboarding", "skateboarding exhibition", "skateboarding", "skateboarding", "skateboarding", "skateboarding", "skating", "skating" ]
skateboarding
3378
What is orange in the air?
3,378,002
3,378
[ "skateboard", "skateboard", "skateboard", "skateboard", "skateboard", "skateboard", "skateboard", "skateboard", "skateboard", "skateboard" ]
skateboard
3378
Is he skating in the dark?
3,378,003
3,378
[ "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes" ]
yes
3378
Is the person using the sports equipment?
3,378,004
3,378
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
3378
Are the shoes Nike brands?
3,378,005
3,378
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
3378
Are there spectators for the man?
3,378,006
3,378
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
527670
Is there a dog collar in the picture?
527,670,000
527,670
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "no" ]
yes
527670
Is there a reflection in the dog's eyes?
527,670,001
527,670
[ "yes", "yes", "no", "yes", "no", "yes", "no", "yes", "yes", "yes" ]
yes
527670
Is this a sad dog?
527,670,002
527,670
[ "no", "yes", "no", "no", "no", "no", "no", "no", "no", "yes" ]
no
527670
Which paw is in the photo?
527,670,003
527,670
[ "right", "right", "right", "right", "right", "right", "right", "right", "front right", "right" ]
right
134459
How many different color shirts are there?
134,459,000
134,459
[ "6", "6", "3", "7", "5", "9", "5", "6", "5", "3" ]
6
134459
How many people are standing in the field?
134,459,001
134,459
[ "9", "9", "9", "9", "9", "9", "9", "9", "9", "9" ]
9
134459
What type of sport is depicted?
134,459,002
134,459
[ "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee" ]
frisbee
134459
Are the trees and grass the same color?
134,459,003
134,459
[ "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes" ]
yes
134459
What is being thrown above the child?
134,459,004
134,459
[ "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee", "frisbee" ]
frisbee
134459
Is everyone wearing shorts?
134,459,005
134,459
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134459
How many boys are in the photo?
134,459,006
134,459
[ "3", "7", "7", "4", "8", "9", "9", "several", "5", "4" ]
7
134459
Where are the people playing?
134,459,007
134,459
[ "frisbee", "frisbee", "frisbee", "park", "park", "frisbee", "park", "frisbee", "park", "park" ]
frisbee
134460
What is on the sticker on his jacket?
134,460,000
134,460
[ "dan", "pocket", "dole", "dole", "dole", "dole", "flag", "dole", "dole", "dole" ]
dole
134460
What animal is on the child's hat?
134,460,001
134,460
[ "raccoon", "raccoon", "raccoon", "panda", "koala", "raccoon", "worm", "panda", "koala", "raccoon" ]
raccoon
134460
What is the child eating?
134,460,002
134,460
[ "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana" ]
banana
396608
What is the drink in the cup?
396,608,000
396,608
[ "coffee", "coffee", "coffee", "coffee", "coffee", "coffee", "coffee", "coffee", "coffee", "coffee" ]
coffee
396608
What is the yellow substance called?
396,608,001
396,608
[ "banana", "banana", "orange juice", "banana", "orange juice", "banana", "orange juice", "orange juice", "banana", "juice" ]
banana
396608
Is this what a person has in the morning?
396,608,002
396,608
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "breakfast", "yes" ]
yes
396617
Is the boy squatting?
396,617,000
396,617
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
396617
Who many wheels mod you see?
396,617,001
396,617
[ "4", "3", "2", "4", "4", "4", "4", "4", "4", "4" ]
4
396617
Is the boy in motion?
396,617,002
396,617
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
265547
Is this picture black-and-white or color?
265,547,000
265,547
[ "black and white", "black and white", "black and white", "black-and-white", "black and white", "yes", "yes", "yes", "yes", "black and white" ]
black and white
265547
Is there a volleyball net in the picture?
265,547,001
265,547
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
265547
What happened to the umbrella?
265,547,002
265,547
[ "broken", "fell over", "it was buried", "fell over", "collapsed", "fell over", "fell down", "fell down", "broke", "fell over" ]
fell over
265550
What activity is this person doing?
265,550,000
265,550
[ "surfing", "surfing", "surfing", "surfing", "surfing", "surfing", "surfing", "surfing", "surfing", "surfing" ]
surfing
265550
What color is the strap on the surfer leg?
265,550,001
265,550
[ "red", "red", "red", "red", "red", "red", "red", "red", "red", "red" ]
red
265550
How tall is the person on the board?
265,550,002
265,550
[ "6 feet", "6 feet tall", "72 inches", "6 ft", "6 ft", "6'1", "5'11", "6 feet", "6 ft", "6 ft" ]
6 ft
265550
Is he wearing a wetsuit?
265,550,003
265,550
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
265550
What is the copyright date on the picture?
265,550,004
265,550
[ "2015", "2015", "2015", "2015", "2013", "doesn't say", "2015", "2013", "2015", "2015" ]
2015
265550
Is the person barefoot?
265,550,005
265,550
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
265550
Is the surfer standing up?
265,550,006
265,550
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
265550
What color is the surfboard?
265,550,007
265,550
[ "red and white", "white", "white and red", "white and red", "white and red", "white & red", "white", "white", "white", "white and red" ]
white
527695
Does this vegetable look overcooked?
527,695,000
527,695
[ "yes", "no", "yes", "yes", "yes", "no", "yes", "no", "broccoli", "yes" ]
yes
527695
Is there cheese on the broccoli?
527,695,001
527,695
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
527695
What is the shape of the dish?
527,695,002
527,695
[ "rectangle", "rectangular", "square", "rectangular", "rectangle", "rounded and rectangular", "rectangular", "rectangle", "rectangle", "rectangle" ]
rectangle
265552
Are the children white?
265,552,000
265,552
[ "one is", "no", "no", "no", "no", "no", "no", "no", "no", "yes" ]
no
265552
Why has the girl on the right removed her shoes?
265,552,001
265,552
[ "yes", "comfort", "comfort", "comfort", "to be comfortable", "to sit comfortably", "to get comfortable", "get comfortable", "to sit on blanket", "to get comfortable" ]
comfort
265552
What are the girls holding?
265,552,002
265,552
[ "phones", "cell phones", "texting", "phones", "photo", "phones", "cell phones", "phones", "cell phones", "cell phones" ]
phones
265552
How many people are wearing sunglasses?
265,552,003
265,552
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
134483
Is this toilet clean?
134,483,000
134,483
[ "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes" ]
yes
134483
What color is the tile?
134,483,001
134,483
[ "white", "white", "white", "brown", "brown", "brown", "brown", "brown", "white", "white" ]
white
134483
Is there a baby in this household?
134,483,002
134,483
[ "no", "no", "no", "no", "no", "no", "no", "unspecified", "no", "maybe" ]
no
134483
What color is dominant?
134,483,003
134,483
[ "white", "white", "white", "white", "black", "white", "brown", "white", "white", "white" ]
white
134483
Is the light on?
134,483,004
134,483
[ "yes", "yes", "no", "yes", "yes", "no", "yes", "no", "no", "yes" ]
yes
134483
What is sitting on the toilet back?
134,483,005
134,483
[ "toilet paper", "toilet tissue", "toilet paper", "toilet paper", "towels", "toilet tissue", "toilet paper", "toilet paper", "toilet paper", "toilet paper" ]
toilet paper
134483
Why is there a sink in this room?
134,483,006
134,483
[ "wash hands", "not possible", "it's bathroom", "no", "no", "no", "no", "no sink", "wash hands", "no sink pictures" ]
no
134483
What is the black in this picture?
134,483,007
134,483
[ "lid", "toilet seat", "toilet seat", "toilet seat", "toilet seat", "seat", "toilet seat", "seat", "toilet seat", "toilet seat" ]
toilet seat
134483
What is the toilet seat made of?
134,483,008
134,483
[ "plastic", "plastic", "plastic", "porcelain", "plastic", "plastic", "plastic", "wood", "porcelain", "plastic" ]
plastic
134483
What is this?
134,483,009
134,483
[ "toilet", "toilet", "bathroom", "toilet", "toilet", "toilet", "toilet", "toilet", "toilet", "toilet" ]
toilet
134483
Where could this toilet be located?
134,483,010
134,483
[ "gas station", "bathroom", "bathroom", "bathroom", "gas station", "bathroom", "dorm", "bathroom", "in house", "someone's house" ]
bathroom
134483
What is the color of the toilet seat?
134,483,011
134,483
[ "black", "black", "black", "black", "black", "black", "black", "black", "black", "black" ]
black
134483
What room is this?
134,483,012
134,483
[ "bathroom", "bathroom", "bathroom", "bathroom", "bathroom", "bathroom", "toilets", "bathroom", "bathroom", "bathroom" ]
bathroom
134483
Where is the toilet paper?
134,483,013
134,483
[ "on tank", "on toilet", "on toilet tank", "on top of tank", "toilet", "back of toilet", "toilet", "on tank", "on toilet", "on top of toilet" ]
on tank
134483
IS this picture a reflection?
134,483,014
134,483
[ "no", "no", "no", "no", "no", "yes", "no", "no", "no", "no" ]
no
134483
Is there toilet paper?
134,483,015
134,483
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134483
Is this all garbage?
134,483,016
134,483
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
134483
Is the toilet clean?
134,483,017
134,483
[ "yes", "no", "yes", "yes", "no", "yes", "yes", "yes", "no", "no" ]
yes
134483
What brand of tissues is in the photo?
134,483,018
134,483
[ "lotus", "lotus", "lotus", "lotus", "lotus", "lows", "lotus", "lotus", "lotus", "lotus" ]
lotus
134483
What color is the toilet seat?
134,483,019
134,483
[ "black", "black", "black", "black", "black", "black", "black", "black", "black", "black" ]
black
134483
What is the color of the wall?
134,483,020
134,483
[ "white", "white", "white", "white", "white", "white", "white", "white", "cream", "beige" ]
white
134483
Is this a home bathroom?
134,483,021
134,483
[ "yes", "no", "yes", "no", "yes", "no", "no", "yes", "yes", "yes" ]
yes
134483
What number of rolls of toilet paper are in this package?
134,483,022
134,483
[ "12", "15", "15", "22", "6", "27", "24", "15", "24", "8" ]
15
546702
Is there a pattern on the blanket?
546,702,000
546,702
[ "yes", "no", "no", "no", "no", "no", "yes", "no", "yes", "no" ]
no
546702
What does the cat have around its neck?
546,702,001
546,702
[ "collar", "collar", "collar", "0", "collar", "collar", "collar", "collar", "collar", "nothing" ]
collar
546702
How many cats are there?
546,702,002
546,702
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
546702
What is the cat laying on?
546,702,003
546,702
[ "bed", "bed", "bed", "bed", "bed", "bed", "bed", "bed", "bed", "bed" ]
bed
546702
How many cats?
546,702,004
546,702
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
546702
How aggressive is the cat?
546,702,005
546,702
[ "not at all", "not very", "not aggressive", "little", "not at all", "nice", "not aggressive", "not at all", "not aggressive", "not aggressive" ]
not aggressive
546702
Is the cat napping or alert?
546,702,006
546,702
[ "alert", "alert", "alert", "alert", "alert", "alert", "alert", "alert", "alert", "alert" ]
alert
546702
Is the cat likely to have been cleaning itself?
546,702,007
546,702
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
546702
What are the two colors of the cat?
546,702,008
546,702
[ "brown", "brown and beige", "gray and tan", "black white", "gray and tan", "gray and black", "gray and white", "brown", "white, and black", "black and white" ]
brown
546702
What is the cat doing?
546,702,009
546,702
[ "sitting up", "laying down", "laying down", "lounging", "sitting", "laying on bed", "lying on its back", "sitting", "sitting on bed", "sitting" ]
sitting
546702
Did the cat eat too much catnip?
546,702,010
546,702
[ "unknown", "no", "no", "no", "no", "yes", "no", "yes", "no", "no" ]
no
546702
What noise would this animal make if frightened?
546,702,011
546,702
[ "yowl", "hiss", "meow", "meow", "meow", "meow", "growl", "hiss", "hiss", "growl" ]
meow
546702
How old is cat?
546,702,012
546,702
[ "5", "2 yr", "1 year", "unknown", "young", "5 years old", "4", "old", "2", "young" ]
young
546702
How many cats are in bed?
546,702,013
546,702
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
546702
Is the bed made?
546,702,014
546,702
[ "no", "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes" ]
yes
546702
What is the cat sitting on?
546,702,015
546,702
[ "bed", "bed", "bed", "bed", "bed", "bed", "bed", "bed", "bed", "bed" ]
bed
546702
How many feet do you see?
546,702,016
546,702
[ "4", "4", "4", "4", "2", "4", "4", "1", "2", "4" ]
4
546702
How many pillows are on the bed?
546,702,017
546,702
[ "4", "4", "4", "4", "4", "4", "4", "4", "4", "4" ]
4
546702
What color is the fluffiest cat?
546,702,018
546,702
[ "tabby", "stripped", "brown", "brown", "brown striped", "gray and black", "brown", "gray", "brown", "gray" ]
brown
527704
Are those roller skates?
527,704,000
527,704
[ "yes", "yes", "yes", "yes", "no", "no", "yes", "no", "no", "yes" ]
yes
527704
What type of hairstyle does she have?
527,704,001
527,704
[ "ponytail", "ponytail", "ponytail", "ponytail", "ponytail", "ponytail", "ponytail", "ponytail", "phonytail", "ponytail" ]
ponytail
527704
How many cars are there?
527,704,002
527,704
[ "1", "2", "2", "2", "1", "1", "2", "2", "0", "2" ]
2
527704
Where is a sidewalk item required by the Americans with Disabilities Act?
527,704,003
527,704
[ "red spot", "ramp", "ramp", "at side of road", "ramp", "on right", "left of skater", "under skates", "to left of woman", "drop off locations" ]
ramp
44260
Is that an apple on the tree?
44,260,000
44,260
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
44260
What season was this picture taken?
44,260,001
44,260
[ "spring", "fall", "fall", "autumn", "autumn", "fall", "fall", "autumn", "fall", "fall" ]
fall