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
525361
What number is on the front of the train?
525,361,000
525,361
[ "165026", "165026", "165026", "165026", "165026", "165026", "165026", "165026", "165026", "165026" ]
165026
525361
Do you see passengers?
525,361,001
525,361
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
525361
What is the number on the front of the train?
525,361,002
525,361
[ "165026", "165026", "165026", "165026", "165026", "165026", "165026", "165026", "165026", "165026" ]
165026
525361
Is this a passenger train?
525,361,003
525,361
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
263223
Is this a boy or girl?
263,223,000
263,223
[ "girl", "boy", "girl", "girl", "boy", "boy", "girl", "girl", "girl", "girl" ]
girl
263223
What is the person standing on?
263,223,001
263,223
[ "skis", "skis", "snow", "skis", "skis", "skis", "snow", "ski", "snow", "skis" ]
skis
263223
Is there snow?
263,223,002
263,223
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
263223
What is the person doing?
263,223,003
263,223
[ "skiing", "skiing", "skiing", "snow skiing", "skiing", "falling", "skiing", "skiing", "skiing", "skiing" ]
skiing
263223
How many people are here?
263,223,004
263,223
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
263223
Is the sun shining from above or below the person in the picture?
263,223,005
263,223
[ "below", "above", "above", "above", "above", "above", "from above", "above", "above", "above" ]
above
263223
Is this person barefoot?
263,223,006
263,223
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
263223
What color are the jumpers pants?
263,223,007
263,223
[ "black", "black", "black", "black", "black", "black", "black", "black", "black", "black" ]
black
263223
What is the blue object used for?
263,223,008
263,223
[ "wearing", "warmth", "warmth", "warmth", "warmth", "keep warm", "jacket to keep warm", "warmth", "warmth", "warmth" ]
warmth
525369
Is the child looking wearing glasses?
525,369,000
525,369
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
525369
Are this men's ties?
525,369,001
525,369
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
525369
Is this picture in color?
525,369,002
525,369
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
525369
Is the child asleep?
525,369,003
525,369
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
525369
Is the child in the bed?
525,369,004
525,369
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
525369
What number of people are in the bed?
525,369,005
525,369
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
525369
What pattern is on the pillow?
525,369,006
525,369
[ "plain", "none", "floral", "plain", "solid", "none", "plain", "no pattern", "none", "unknown" ]
plain
525369
Is this a guy or a girl laying on the bed?
525,369,007
525,369
[ "girl", "girl", "girl", "guy", "girl", "girl", "girl", "girl", "girl", "girl" ]
girl
525369
How many pieces of luggage are there?
525,369,008
525,369
[ "0", "0", "0", "0", "0", "1", "0", "0", "0", "0" ]
0
525369
What does the child have in her mouth?
525,369,009
525,369
[ "pacifier", "pacifier", "pacifier", "pacifier", "pacifier", "pacifier", "pacifier", "pacifier", "pacifier", "pacifier" ]
pacifier
525369
How many toys are on the kid bed?
525,369,010
525,369
[ "1", "0", "0", "0", "0", "0", "0", "0", "0", "0" ]
0
525369
Do you see a giant teddy bear?
525,369,011
525,369
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
525371
What color is the traffic light?
525,371,000
525,371
[ "green", "green", "green", "green", "green", "green", "green", "green", "green", "green" ]
green
525371
Is there an airplane in view?
525,371,001
525,371
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
525371
Does this building look old?
525,371,002
525,371
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "yes" ]
no
525371
What color is the building?
525,371,003
525,371
[ "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow" ]
yellow
525373
Is this person male or female?
525,373,000
525,373
[ "female", "female", "female", "female", "female", "female", "female", "female", "female", "female" ]
female
525373
How many kids are in the picture?
525,373,001
525,373
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
525373
What are the kids eating?
525,373,002
525,373
[ "donuts", "donuts", "donuts", "donuts", "doughnut", "donuts", "doughnuts", "donuts", "donuts", "donuts" ]
donuts
525373
Are they having breakfast?
525,373,003
525,373
[ "no", "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no" ]
yes
525373
What color are her eyes?
525,373,004
525,373
[ "brown", "brown", "brown", "brown", "green", "brown", "brown", "brown", "brown", "blue" ]
brown
525373
Is the person on the right older than the person on the left?
525,373,005
525,373
[ "yes", "no", "yes", "yes", "yes", "no", "yes", "yes", "no", "yes" ]
yes
525376
How many shoes do you see?
525,376,000
525,376
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
525376
Are there two pieces of luggage in the trunk?
525,376,001
525,376
[ "no", "no", "yes", "yes", "no", "yes", "yes", "yes", "yes", "2" ]
yes
525376
What is blue and yellow in the trunk?
525,376,002
525,376
[ "shoes", "tennis shoes", "shoes", "tennis shoes", "shoes", "shoes", "sneakers", "shoes", "shoes", "shoes" ]
shoes
1089
Would these person fit in to most hip hop scenes?
1,089,000
1,089
[ "no", "no", "no", "no", "no", "no", "no", "no", "yes", "no" ]
no
1089
What color is his tie?
1,089,001
1,089
[ "silver", "blue", "blue", "blue", "blue", "blue", "blue", "blue, black", "blue", "blue" ]
blue
1089
Who is the man in this picture?
1,089,002
1,089
[ "president", "obama", "obama", "barack obama", "barack obama", "barack obama", "president obama", "obama", "obama", "barack obama" ]
obama
1089
Is this a real picture?
1,089,003
1,089
[ "yes", "no", "no", "no", "no", "no", "no", "no", "no", "partly" ]
no
525381
Can you see the ball?
525,381,000
525,381
[ "no", "no", "no", "no", "yes", "yes", "no", "yes", "no", "no" ]
no
525381
What does the catcher have on his face?
525,381,001
525,381
[ "mask", "mask", "face guard", "protective gear", "mask", "shield", "mask", "black", "face guard", "mask" ]
mask
525381
Does the batter have on clean clothes?
525,381,002
525,381
[ "no", "yes", "no", "no", "no", "no", "no", "no", "yes", "no" ]
no
1103
Is it six or twelve birds?
1,103,000
1,103
[ "6", "6", "6", "6", "6", "6", "12", "6", "6", "6" ]
6
1103
What kind of animals are on the beach?
1,103,001
1,103
[ "pelicans", "geese", "birds", "seagulls", "seagulls", "sandpiper", "none", "birds", "seagull", "bird" ]
birds
1103
Is this a color photograph?
1,103,002
1,103
[ "no", "no", "no", "no", "no", "no", "no", "black and white", "no", "no" ]
no
394320
What color hair does the woman on the left have?
394,320,000
394,320
[ "blonde", "blonde", "blonde", "blonde", "blonde", "blonde", "blonde", "blonde", "blonde", "blonde" ]
blonde
394320
How many women are there?
394,320,001
394,320
[ "no", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
394320
What kind of food is the woman on the left of the screen reaching for?
394,320,002
394,320
[ "pizza", "pizza", "pizza", "pizza", "pizza", "pizza", "pizza", "pizza", "pizza", "pizza" ]
pizza
394322
Are they inside or outside?
394,322,000
394,322
[ "inside", "inside", "inside", "inside", "inside", "inside", "inside", "inside", "inside", "inside" ]
inside
394322
What are the kids doing?
394,322,001
394,322
[ "posing", "smiling", "posing", "poisoning", "pose for photo", "taking class picture", "posing for picture", "posing for school picture", "posing for picture", "sitting for photo" ]
posing
394322
How many people are pictured?
394,322,002
394,322
[ "41", "40", "medium sized group", "40", "39", "40", "36", "40", "40", "37" ]
40
394322
Is this a contemporary photo?
394,322,003
394,322
[ "no", "yes", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
394322
How many people are standing next to each other?
394,322,004
394,322
[ "10", "36", "25", "10", "40", "40", "36", "20", "20", "10" ]
10
263251
Where is the white ball?
263,251,000
263,251
[ "parasol", "on umbrella", "on umbrella", "on umbrella", "on umbrella", "on umbrella", "on umbrella", "on umbrella", "on umbrella", "umbrella" ]
on umbrella
263251
What color is the umbrella?
263,251,001
263,251
[ "pink", "tan", "pink", "pink", "pink", "pink", "pink", "pink", "pink", "red" ]
pink
263251
Is the umbrella spinning?
263,251,002
263,251
[ "yes", "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
132182
Is this person ready for the ball?
132,182,000
132,182
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
132182
If he hits the ball where should he run?
132,182,001
132,182
[ "first base", "1st base", "1st base", "1st base", "yes", "first base", "right", "yes", "first base", "1st base" ]
1st base
132182
What is the batter standing in front of?
132,182,002
132,182
[ "home plate", "base", "fence", "home plate", "home base", "plate", "home plate", "home plate", "plate", "home plate" ]
home plate
132182
What number is on the batter's uniform?
132,182,003
132,182
[ "9", "9", "9", "9", "3", "9", "9", "9", "9", "9" ]
9
394328
Where is the waste basket?
394,328,000
394,328
[ "left of toilet", "left side", "left of toilet", "on left of toilet", "next to toilet", "next to toilet", "bathroom", "on left", "by toilet", "on left" ]
left of toilet
394328
What color is the wall?
394,328,001
394,328
[ "red", "red", "red", "white", "red", "red", "red", "red", "red", "red" ]
red
394328
Is the waste basket full?
394,328,002
394,328
[ "yes", "yes", "no", "yes", "yes", "no", "yes", "yes", "yes", "yes" ]
yes
394328
Is the trash can full?
394,328,003
394,328
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
263258
Where are the people standing?
263,258,000
263,258
[ "dugout", "in dugout", "behind fence", "dugout", "dugout", "dug out", "dugout", "behind fence", "out field", "dugout" ]
dugout
263258
What area are the men in blue standing in?
263,258,001
263,258
[ "dugout", "bullpen", "dugout", "dugout", "dug out", "dugout", "dugout", "dugout", "dugout", "dugout" ]
dugout
263258
What game is this?
263,258,002
263,258
[ "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball" ]
baseball
263258
What is the color of the fence?
263,258,003
263,258
[ "green", "green", "green", "silver", "silver", "gray", "green", "green", "green", "green" ]
green
132189
What number is on the bus?
132,189,000
132,189
[ "4", "4", "4", "4", "4", "4", "4", "4", "4", "4" ]
4
132189
What kind of vehicle is this?
132,189,001
132,189
[ "bus", "bus", "bus", "bus", "bus", "bus", "bus", "bus", "bus", "bus" ]
bus
132189
How many levels does the bus have?
132,189,002
132,189
[ "1", "1", "1", "1", "1", "1", "1", "0", "1", "1" ]
1
132189
Who manufactured the bus?
132,189,003
132,189
[ "connections", "connections 4", "connections 4", "mercedes benz", "toyota", "mercedes", "connections", "connections 4", "mercedes", "connections 4" ]
connections 4
394334
How many pastries are on the left most tray on the middle shelf?
394,334,000
394,334
[ "12", "6", "5", "5", "6", "6", "6", "6", "6", "6" ]
6
394334
How many donuts are on display?
394,334,001
394,334
[ "24", "24", "24", "24", "23", "25", "23", "24", "24", "23" ]
24
394334
Are there any Halloween donuts in the photo?
394,334,002
394,334
[ "no", "yes", "no", "yes", "yes", "yes", "yes", "no", "no", "yes" ]
yes
394334
Are there any donuts in the picture with nuts on top?
394,334,003
394,334
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
263268
Why is there a hole in the white floor?
263,268,000
263,268
[ "drain", "shower drain", "drain", "drain", "drain", "drain", "drain", "shower drain", "no", "it's drain" ]
drain
263268
What room is this?
263,268,001
263,268
[ "bathroom", "bathroom", "bathroom", "bathroom", "bath", "bathroom", "bathroom", "toilet", "bathroom", "bathroom" ]
bathroom
263268
Where is the paper towel?
263,268,002
263,268
[ "toilet", "on toilet tank", "toilet tank", "on toilet tank", "yes", "toilet", "back of toilet", "back of toilet", "on toilet", "cleaning" ]
toilet
525420
Does this room need maintenance?
525,420,000
525,420
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
525420
Is the water on?
525,420,001
525,420
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
525420
What color is the tub?
525,420,002
525,420
[ "white", "white", "white", "white", "white", "white", "white", "white", "white", "white" ]
white
423396
What color is the clock?
423,396,000
423,396
[ "brown", "brown", "brown", "bronze", "bronze", "brown", "brown", "brown", "tan", "bronze" ]
brown
423396
If looking up where is the shadow for the clock?
423,396,001
423,396
[ "left", "right", "12:00", "behind it", "below clock", "ground", "no", "under clock", "below clock", "down" ]
below clock
423396
What time is it?
423,396,002
423,396
[ "evening", "6:30", "12 o'clock", "time to fix clock", "no time", "unknown", "can't tell", "6:00", "noon", "it does not say" ]
evening
394352
Which Zebra is off the road?
394,352,000
394,352
[ "left", "left", "on left", "one towards left", "on left", "one on far left", "left", "one on left", "left one", "left one" ]
left
394352
What color is the car?
394,352,001
394,352
[ "white", "white", "gray", "white", "white", "white", "white", "white", "white", "white" ]
white
394352
How many zebras?
394,352,002
394,352
[ "3", "3", "3", "3", "3", "3", "3", "3", "3", "3" ]
3
1138
What are the rectangular white items in front of the windows?
1,138,000
1,138
[ "blinds", "blinds", "blinds", "blinds", "blinds", "blinds", "shades", "windows", "blinds", "blinds" ]
blinds
1138
Which room is this?
1,138,001
1,138
[ "living room", "living room", "living room", "living room", "front room", "living room", "living room", "living room", "living room", "living room" ]
living room
1138
What is in the fireplace?
1,138,002
1,138
[ "wood", "fire", "logs on fire", "wood", "fire", "logs", "wood", "brick", "fire", "fire" ]
fire
1138
Is this an indoor scene?
1,138,003
1,138
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
1138
How many windows do you see?
1,138,004
1,138
[ "6", "3", "3", "3", "6", "6", "3", "3", "3", "6" ]
3
1138
What animal is depicted on the rug in front of the fireplace?
1,138,005
1,138
[ "none", "none", "none", "horse", "no animal", "there is no animal on rug", "no rug", "there is no rug", "no animal", "no rug" ]
none
1138
What kind of room is this?
1,138,006
1,138
[ "living room", "living room", "living room", "living room", "living room", "living room", "living room", "living room", "living room", "living room" ]
living room
263288
What color are the scissor handles?
263,288,000
263,288
[ "red", "red", "red", "red", "red", "red", "red", "red", "red", "red" ]
red
263288
What kind of supplies are here?
263,288,001
263,288
[ "office", "push pins, scissors", "push pins paper scissors", "office supplies", "office", "scissors or tacks", "scissors, tacks", "office", "office", "office supplies" ]
office