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
263647
Is the person on the ground wearing gloves?
263,647,001
263,647
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
263647
What color pants is the person wearing?
263,647,002
263,647
[ "black", "black", "black", "black", "black", "black", "black", "black", "black", "black" ]
black
132578
What is the cat sitting on?
132,578,000
132,578
[ "bench", "bench", "bench", "window seat", "mattress", "bench", "hope chest", "bed", "bench", "bench" ]
bench
132578
What is the cat doing?
132,578,001
132,578
[ "sleeping", "sleeping", "sleeping", "napping", "sleeping", "sleeping", "sleeping", "sleeping", "sleeping", "sleeping" ]
sleeping
132578
Is it a bright sunny day?
132,578,002
132,578
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
394724
How real is this picture?
394,724,000
394,724
[ "very", "real", "very", "it is real", "somewhat", "real", "real", "very real", "real", "real" ]
real
394724
Is that a man or a woman in the water?
394,724,001
394,724
[ "man", "man", "man", "man", "woman", "man", "man", "man", "man", "man" ]
man
394724
Are these two people in danger of drowning?
394,724,002
394,724
[ "no", "no", "no", "no", "no", "no", "no", "no", "yes", "no" ]
no
132587
What is this man sitting on?
132,587,000
132,587
[ "bench", "marble bench", "bench", "bench", "table", "bench", "bench", "bench", "bench", "bench" ]
bench
132587
What brand of shoes is the man in the foreground wearing?
132,587,001
132,587
[ "converse", "converse", "converse", "converse", "puma", "adidas", "nikes", "converse", "converse", "converse" ]
converse
132587
What is he drinking?
132,587,002
132,587
[ "water", "water", "water", "water", "water", "not yet", "water", "water", "water", "water" ]
water
132587
What is this man doing?
132,587,003
132,587
[ "sitting", "sitting", "sitting", "sitting", "sitting", "sitting", "sitting", "sitting", "sitting", "sitting" ]
sitting
263664
Is everyone in this photo the same gender?
263,664,000
263,664
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no" ]
yes
263664
Is this photo taken in America?
263,664,001
263,664
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
263664
How many people are riding on the bike?
263,664,002
263,664
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
263664
Are the owners of the bikes on the bus?
263,664,003
263,664
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
263664
What are the people doing?
263,664,004
263,664
[ "riding", "riding", "riding motorcycle", "riding scooter", "driving", "riding motorcycle", "driving", "biking", "riding scooter", "traveling" ]
riding
263664
What color is the person's shirt closest to the photographer?
263,664,005
263,664
[ "yellow and white", "white and yellow", "yellow", "yellow and white", "yellow and white", "yellow", "yellow and white", "yellow", "beige and white", "white and yellow" ]
yellow and white
263664
What is red?
263,664,006
263,664
[ "motorcycle", "scooter", "motorbike", "motorcycle", "bike", "motorcycle", "motorcycle", "motorcycle", "motorcycle", "scooter" ]
motorcycle
263668
How would you get to North Oxford?
263,668,000
263,668
[ "right", "right", "go left", "going right", "walk, bus, drive, bicycle", "go right", "go right", "follow sign pointing to right", "on bicycle", "go right" ]
go right
263668
What country is this?
263,668,001
263,668
[ "england", "england", "none", "england", "england", "england", "england", "england", "england", "uk" ]
england
263668
Are there people in the image?
263,668,002
263,668
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
1525
What type of building are they in?
1,525,000
1,525
[ "hanger", "construction", "hangar", "hangar", "shed", "hanger", "airplane hanger", "hanger", "hanger", "warehouse" ]
hanger
1525
How many tires are there?
1,525,001
1,525
[ "6", "8", "4", "4", "4", "6", "8", "6", "6", "6" ]
6
1525
Are these planes functional?
1,525,002
1,525
[ "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
1525
What vehicle can be seen?
1,525,003
1,525
[ "plane", "airplane", "airplane", "airplane", "airplane", "airplane", "airplane", "airplane", "airplane", "airplane" ]
airplane
1525
How much clearance is there?
1,525,004
1,525
[ "little", "lots", "20 feet", "50 feet", "20 feet", "50 feet", "much", "lot", "lot", "50 feet" ]
50 feet
1525
Where is the airplane?
1,525,005
1,525
[ "hanger", "ground", "inside", "hanger", "inside", "in hangar", "hangar", "hanger", "in building", "indoors" ]
hanger
1525
Where is the scene taking place in the photograph?
1,525,006
1,525
[ "airport hangar", "hangar", "hangar", "hangar", "hangar", "airplane hanger", "hangar", "hanger", "airport hanger", "airplane hangar" ]
hangar
1525
Is this a boating dock?
1,525,007
1,525
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
1525
How many bikes are outside?
1,525,008
1,525
[ "0", "0", "0", "0", "0", "0", "0", "0", "0", "0" ]
0
1525
Is this a private airfield?
1,525,009
1,525
[ "no", "no", "yes", "yes", "yes", "no", "yes", "yes", "yes", "no" ]
yes
1525
Is this a large jet?
1,525,010
1,525
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
1525
What kind of vehicle is packed away in here?
1,525,011
1,525
[ "airplane", "plane", "jet plane", "plane", "airplane", "plane", "plane", "airplane", "airplane", "plane" ]
plane
1525
Is this a fenced area?
1,525,012
1,525
[ "no", "no", "no", "no", "no", "yes", "no", "no", "no", "no" ]
no
1525
Is the plane facing the camera?
1,525,013
1,525
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
1525
Where is this plane?
1,525,014
1,525
[ "in hangar", "in hangar", "hangar", "in hangar", "in hangar", "hangar", "in building", "hangar", "hanger", "in hangar" ]
in hangar
1525
What mode of transportation is this?
1,525,015
1,525
[ "plane", "plane", "airplane", "plane", "airplane", "plane", "airplane", "plane", "flight", "plane" ]
plane
1525
Is this a city?
1,525,016
1,525
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
1525
Is it daylight?
1,525,017
1,525
[ "no", "yes", "no", "no", "no", "yes", "no", "no", "no", "no" ]
no
1525
What material is the floor made of?
1,525,018
1,525
[ "concrete", "cement", "asphalt", "pavement", "concrete", "unknown", "cement", "cement", "cement", "cement" ]
cement
1525
What is this machine?
1,525,019
1,525
[ "airplane", "plane", "airplane", "plane", "plane", "airplane", "airplane", "plane", "airplane", "airplane" ]
airplane
1525
Is the plane flying?
1,525,020
1,525
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
1525
What colors are on the middle beam?
1,525,021
1,525
[ "gray", "white", "white", "white", "white", "gray", "white", "white", "white", "white" ]
white
1525
What's being built?
1,525,022
1,525
[ "airplane", "airplane", "airplane", "airplane", "plane", "airplane", "plane", "airplane", "airplane", "plane" ]
airplane
1525
Is someone having a snack?
1,525,023
1,525
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
1525
Is this a train station?
1,525,024
1,525
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
1525
Was the person taking this picture moving?
1,525,025
1,525
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
1525
How many windows are on this building?
1,525,026
1,525
[ "1", "0", "0", "0", "0", "0", "1", "0", "0", "0" ]
0
1532
What is the speed limit of the exit?
1,532,000
1,532
[ "20 mph", "20", "20", "20", "20 mph", "20", "20", "20", "20", "20" ]
20
1532
Is this a city street?
1,532,001
1,532
[ "yes", "yes", "yes", "no", "yes", "no", "yes", "yes", "yes", "yes" ]
yes
1532
What is the first number on the billboard?
1,532,002
1,532
[ "101", "101", "101", "101", "1", "1", "1", "101", "101", "101" ]
101
1532
What is the street number not name?
1,532,003
1,532
[ "101", "101", "100", "101", "101", "101", "101", "ventura", "101", "101" ]
101
1532
How many signs are there?
1,532,004
1,532
[ "10", "5", "4", "at least 10", "9", "3", "8", "3", "8", "6" ]
3
502698
What game is played on a board with a similar pattern to this floor?
502,698,000
502,698
[ "chess", "checkers", "chess", "checker", "checkers", "checkers", "chess", "chess", "checkers", "chess" ]
chess
502698
Has this man shaved?
502,698,001
502,698
[ "no", "no", "occurs", "no", "no", "no", "no", "no", "no", "no" ]
no
502698
Is this man wearing pajamas?
502,698,002
502,698
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "maybe" ]
no
263679
What are these men holding?
263,679,000
263,679
[ "kite", "hang glide", "kite", "kite", "kite", "large kite", "kite", "kites", "kite", "parachute" ]
kite
263679
Are they near water?
263,679,001
263,679
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "no" ]
yes
263679
What color is the sky?
263,679,002
263,679
[ "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "yes" ]
blue
263679
What are they about to do?
263,679,003
263,679
[ "fly kite", "fly kite", "fly kite", "kiting", "fly kites", "paraglide", "kitesurfing", "fly kites", "fly kite", "parasail" ]
fly kite
132612
Are they in their natural environment?
132,612,000
132,612
[ "no", "no", "no", "no", "no", "no", "yes", "no", "no", "no" ]
no
132612
Where are the giraffes?
132,612,001
132,612
[ "background", "background", "in background", "behind trees", "background", "background", "by trees", "in back", "back", "background" ]
background
132612
What is it called when all the zebra are together?
132,612,002
132,612
[ "herd", "group", "pack", "herd", "zeal", "pack", "herd", "herd", "herd", "herd" ]
herd
132612
Why are all these zebra together?
132,612,003
132,612
[ "grazing", "at zoo", "because they run together", "grazing", "because they are pack", "family", "camouflage", "friends?", "for protection", "they are herd grazing" ]
grazing
132612
Are these animals common in India?
132,612,004
132,612
[ "no", "no", "no", "no", "no", "no", "yes", "no", "yes", "no" ]
no
132615
Where is the nike sign?
132,615,000
132,615
[ "on his socks", "shoes", "socks", "shoes", "on batter's socks", "socks", "socks", "on socks", "shoes", "sock" ]
shoes
132615
What is the player holding?
132,615,001
132,615
[ "bat", "bat", "baseball bat", "baseball bat", "baseball bat", "bat", "bat", "bat", "bat", "bat" ]
bat
132615
Did he hit the ball?
132,615,002
132,615
[ "yes", "yes", "yes", "yes", "yes", "game", "yes", "yes", "no", "yes" ]
yes
22103
What is the doing to the giraffe?
22,103,000
22,103
[ "feeding", "feeding it", "watching", "feeding it", "feeding", "feeding it", "feeding", "staring", "feeding", "feeding it" ]
feeding
22103
Is she trying to feed the giraffe?
22,103,001
22,103
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
22103
Is this giraffe friendly?
22,103,002
22,103
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
22103
What color is the basket?
22,103,003
22,103
[ "green", "green", "green", "green", "green", "green", "green", "green", "green", "green" ]
green
22103
Is there a fence between the girl and the giraffe?
22,103,004
22,103
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
132622
What animal is this?
132,622,000
132,622
[ "bear", "bear", "bear", "bear", "bear", "bear", "bear", "bear", "bear", "bear" ]
bear
132622
Is the bear sitting?
132,622,001
132,622
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
132622
What is the color of the bear?
132,622,002
132,622
[ "brown", "brown", "brown", "brown and white", "brown", "brown", "brown", "brown", "brown", "light brown" ]
brown
132622
Is the bear upset?
132,622,003
132,622
[ "maybe", "no", "no", "yes", "yes", "no", "no", "no", "no", "yes" ]
no
263696
Do these two women look like sisters?
263,696,000
263,696
[ "yes", "no", "yes", "yes", "yes", "no", "yes", "yes", "no", "yes" ]
yes
263696
Have the people just graduated?
263,696,001
263,696
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
263696
How many people are under the umbrella?
263,696,002
263,696
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
263696
How many rings is the woman in black wearing?
263,696,003
263,696
[ "1", "1", "1", "1", "0", "1", "1", "1", "1", "1" ]
1
263696
Is the umbrella in good shape?
263,696,004
263,696
[ "yes", "no", "no", "yes", "yes", "yes", "no", "yes", "no", "yes" ]
yes
263696
What are they doing in the rain?
263,696,005
263,696
[ "walking", "shopping", "standing", "shopping", "standing", "walking", "walking", "walking", "walking", "walking" ]
walking
263696
Is it raining?
263,696,006
263,696
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
263696
Why is this woman holding an umbrella?
263,696,007
263,696
[ "rain", "raining", "for protection from rain", "rain", "rain", "it's raining", "it is raining", "rain", "raining", "raining" ]
rain
1554
Are these sheep shaved?
1,554,000
1,554
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
1554
What are these sheep doing?
1,554,001
1,554
[ "being scared", "standing", "standing", "standing", "running", "auction", "standing", "playing", "standing", "standing" ]
standing
1554
Are these baby sheep?
1,554,002
1,554
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
1554
Are the animals happy?
1,554,003
1,554
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
1554
Are all the sheep facing the same direction?
1,554,004
1,554
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
263700
Does that man have a free hand?
263,700,000
263,700
[ "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes" ]
yes
263700
What time does the store close?
263,700,001
263,700
[ "6pm", "6", "6pm", "6pm", "6 pm", "6pm", "6pm", "6", "6 pm", "6 pm" ]
6pm
263700
Is this person in some sort of trouble?
263,700,002
263,700
[ "maybe", "yes", "yes", "no", "no", "no", "no", "no", "no", "yes" ]
no
263700
What model of bike are the police force using?
263,700,003
263,700
[ "kuwait", "bmw", "kawasaki", "motorcycle", "sports bike", "kawasaki", "police motorcycle", "bmw", "yamaha", "motorcycle" ]
bmw
263700
What does the man appear to be doing?
263,700,004
263,700
[ "standing", "pointing", "pointing", "looking at police motorcycle", "standing next to police motorcycle", "pointing", "posing", "posing for picture", "staring", "pointing" ]
pointing
263700
What color is the police bike?
263,700,005
263,700
[ "white", "white and black", "black & white", "black and white", "white and black", "black and white", "white and black", "white", "black and white", "white" ]
white
394773
What color is the motorcycle?
394,773,000
394,773
[ "black", "black and blue", "blue and silver", "blue", "blue", "blue", "blue, silver, black", "blue silver", "blue", "blue" ]
blue
394773
What is the make of this motorcycle?
394,773,001
394,773
[ "bmw", "kawasaki", "bmw", "bmw", "bmw", "bmw", "bmw", "bmw", "bmw", "honda" ]
bmw
394773
What color is this motorcycle?
394,773,002
394,773
[ "blue, white, black", "blue", "blue", "blue", "blue and black", "blue", "blue", "blue, silver, black", "blue, silver, black and red", "blue" ]
blue