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
265085
Is the net on this tennis racket yellow?
265,085,000
265,085
[ "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes" ]
yes
265085
What sport is this?
265,085,001
265,085
[ "tennis", "tennis", "tennis", "tennis", "tanning", "tennis", "tennis", "tennis", "tennis", "tennis" ]
tennis
265085
Is the player wearing a bracelet?
265,085,002
265,085
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134016
How many items are in the bowl?
134,016,000
134,016
[ "5", "4", "5", "4", "3", "many", "5", "4", "lot", "4" ]
4
134016
What vegetable is most prominent within the white bowl?
134,016,001
134,016
[ "broccoli", "pepper", "tomatoes", "sprouts", "sprouts", "chives", "green onion", "beans", "beans", "bean sprouts" ]
sprouts
134016
Is the food ready?
134,016,002
134,016
[ "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes" ]
yes
134016
Is there a tablecloth on the table?
134,016,003
134,016
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
134016
What's on the plate?
134,016,004
134,016
[ "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "food", "broccoli", "broccoli", "food" ]
broccoli
134016
Is this food healthy?
134,016,005
134,016
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134016
What type of soup is this?
134,016,006
134,016
[ "asian", "asian", "bean", "ramen noodle", "lentil", "bean", "noodle", "taco", "salad", "not soup" ]
asian
396167
What pattern is on the uniform?
396,167,000
396,167
[ "none", "none", "solid", "no pattern", "blue", "solid colored", "blue/white", "solid", "blue and white", "solid" ]
solid
396167
What is the last name of the person in the foreground?
396,167,001
396,167
[ "chappell", "chappell", "chappell", "chappell", "chappell", "chappell", "chappell", "chappell", "chappell", "chappell" ]
chappell
396167
What number is on the batter's shirt?
396,167,002
396,167
[ "15", "15", "15", "15", "15", "15", "15", "15", "15", "15" ]
15
396167
What are the men playing?
396,167,003
396,167
[ "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball" ]
baseball
396167
What color is the guy on the left's helmet?
396,167,004
396,167
[ "white", "white", "white", "black", "white", "white", "white", "white", "white", "white" ]
white
265096
Is the elephant holding something?
265,096,000
265,096
[ "no", "yes", "no", "no", "no", "yes", "no", "no", "no", "no" ]
no
265096
Are these circus elephants?
265,096,001
265,096
[ "no", "no", "unknown", "unable to tell", "no", "no", "no", "yes", "no", "no" ]
no
265096
Does he have Snuffleupagus eyelashes?
265,096,002
265,096
[ "no", "no", "no", "yes", "yes", "no", "yes", "no", "no", "yes" ]
no
265096
Is the elephant sad?
265,096,003
265,096
[ "maybe", "no", "yes", "yes", "yes", "yes", "no", "no", "no", "no" ]
no
265096
How many elephants are there?
265,096,004
265,096
[ "1", "1", "1", "3", "1", "1", "1", "1", "1", "1" ]
1
265096
How long is the trunk?
265,096,005
265,096
[ "4 ft", "3 feet", "3 feet", "2 ft", "4 ft", "2 ft", "long", "average", "5 feet", "long" ]
4 ft
527248
How many clocks in the tower?
527,248,000
527,248
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
527248
Does this city look poverty stricken?
527,248,001
527,248
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
527248
How many clocks do you see?
527,248,002
527,248
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
527248
What kind of an event is this?
527,248,003
527,248
[ "farmers market", "outdoor", "festival", "food festival", "public event", "festival", "fair", "festival", "festival", "block party" ]
festival
527248
Are any people walking around?
527,248,004
527,248
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
527248
Is this event indoor or outdoor?
527,248,005
527,248
[ "outdoor", "outdoor", "outdoor", "outdoor", "outdoor", "outdoor", "outdoor", "outdoor", "outdoor", "outdoor" ]
outdoor
527248
Is there a beach in the background?
527,248,006
527,248
[ "no", "yes", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
527248
Can you rent a surfing board here?
527,248,007
527,248
[ "no", "no", "no", "no", "no", "no", "yes", "no", "no", "no" ]
no
371864
What kind of computer is this?
371,864,000
371,864
[ "mac", "desktop", "pc", "dell", "desktop", "desktop", "desktop", "macintosh", "mac", "desktop" ]
desktop
371864
Where is the paper cup lid?
371,864,001
371,864
[ "table", "on glass", "on top of glass", "top of cup", "on glass", "on glass", "table", "on table", "top of another glass", "vase" ]
on glass
371864
How many seats does this table have?
371,864,002
371,864
[ "1", "0", "0 i can see", "1", "0", "1", "1", "0", "1", "1" ]
1
371864
What color is the keyboard in this photo?
371,864,003
371,864
[ "white", "white", "white", "white", "white", "white", "white", "white", "white and silver", "white" ]
white
371864
Is the lid attached to the Starbucks cup in the photo?
371,864,004
371,864
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
371864
Is this a metal desk?
371,864,005
371,864
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
371864
Is there a coffee cup behind the phone?
371,864,006
371,864
[ "no", "yes", "no", "yes", "no", "yes", "yes", "yes", "yes", "yes" ]
yes
371864
What is the box of matches sitting on top of?
371,864,007
371,864
[ "planner", "planner", "address book", "yes", "table", "daily planner", "matches", "book", "day planner", "address book" ]
planner
134034
Is there a fence?
134,034,000
134,034
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134034
How many rails are in the fence?
134,034,001
134,034
[ "3", "3", "3", "3", "3", "3", "3", "11", "3", "3" ]
3
134034
Are both horses grazing?
134,034,002
134,034
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134034
Are both of these animals horses?
134,034,003
134,034
[ "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes", "no" ]
yes
87875
Why is there a hydrant in this location?
87,875,000
87,875
[ "fire safety", "next to street", "to put out fires", "fire risk", "in case of fire", "safety", "easy to use", "yes", "to stop fires", "field" ]
fire safety
87875
What color is the hydrant?
87,875,001
87,875
[ "white", "blue", "agua", "white", "white", "blue", "white", "blue", "blue", "white" ]
white
87875
What color is the yellow fire hydrant?
87,875,002
87,875
[ "blue", "white blue", "blue", "white and blue", "white", "blue and white", "blue", "gray and blue", "white", "gray" ]
blue
87875
Would a wrench open the hydrant?
87,875,003
87,875
[ "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "no", "yes" ]
yes
265108
What is the black-and-white object beneath the red balloon?
265,108,000
265,108
[ "umbrella", "umbrella", "umbrella", "umbrella", "shape", "umbrella", "umbrella", "umbrella", "umbrella", "umbrella" ]
umbrella
265108
What color is the balloon?
265,108,001
265,108
[ "red", "red", "red", "red", "red", "red", "pink", "red", "red", "red" ]
red
265108
Has the balloon been inflated with oxygen or helium?
265,108,002
265,108
[ "helium", "helium", "helium", "helium", "helium", "helium", "oxygen", "helium", "helium", "oxygen" ]
helium
134042
Is this a big airplane?
134,042,000
134,042
[ "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134042
Is it snowing?
134,042,001
134,042
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
134042
How many planes are in the sky?
134,042,002
134,042
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
2972
Are these trains going the same direction?
2,972,000
2,972
[ "yes", "no", "no", "no", "no", "no", "no", "yes", "no", "no" ]
no
2972
Are the red train's headlights on?
2,972,001
2,972
[ "no", "no", "yes", "no", "yes", "no", "no", "yes", "yes", "yes" ]
no
2972
How many trains on the track?
2,972,002
2,972
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
2972
Is the train moving?
2,972,003
2,972
[ "yes", "no", "yes", "no", "yes", "no", "no", "yes", "yes", "yes" ]
yes
2972
Which way to Bow Church?
2,972,004
2,972
[ "not sure", "left", "right", "left", "left", "south", "to left", "ahead", "left", "on your left" ]
left
265125
What is the woman holding?
265,125,000
265,125
[ "umbrella", "umbrella", "umbrella", "umbrella", "umbrella", "umbrella", "umbrella", "umbrella", "umbrella", "umbrella" ]
umbrella
265125
Where is the woman putting her umbrella?
265,125,001
265,125
[ "over car", "trunk", "trunk", "in trunk", "trunk", "in trunk of her car", "trunk", "outside", "trunk", "in car" ]
trunk
265125
What color is the umbrella?
265,125,002
265,125
[ "black", "black", "black", "black", "black", "black", "green", "black", "black", "green" ]
black
265125
What shape is the umbrella's handle?
265,125,003
265,125
[ "straight", "straight", "green", "rod", "u", "round", "line", "pole", "skinny", "straight" ]
straight
527270
What is sitting between the men?
527,270,000
527,270
[ "papers", "cat", "no one", "bench", "book", "hat", "backpack, paper", "papers", "papers", "book" ]
papers
527270
How many people?
527,270,001
527,270
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
527270
Is the bench being dedicated?
527,270,002
527,270
[ "yes", "yes", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
527270
Do these men know each other?
527,270,003
527,270
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "yes" ]
no
527270
Which hand is he holding up?
527,270,004
527,270
[ "left", "left", "left hand", "left", "left", "left", "left", "left", "left", "left" ]
left
527270
What color is the photo?
527,270,005
527,270
[ "black and white", "black and white", "black and white", "black and white", "black and white", "black and white", "black and white", "black and white", "black and white", "black and white" ]
black and white
527270
What type of pants is the gentlemen wearing?
527,270,006
527,270
[ "khakis", "jeans", "jean, dress pants", "dress pants", "long", "jeans", "slacks", "khaki", "jeans", "khakis" ]
jeans
527270
Is the gentlemen walking around the park?
527,270,007
527,270
[ "yes", "no", "no", "yes", "yes", "yes", "no", "yes", "yes", "no" ]
yes
527270
How many men are wearing white shirts?
527,270,008
527,270
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
527270
How many people are sitting on the bench?
527,270,009
527,270
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
396200
How many skateboards are there?
396,200,000
396,200
[ "2", "3", "2", "2", "2", "3", "2", "2", "2", "2" ]
2
396200
What is the young man carrying?
396,200,001
396,200
[ "skateboard", "camera", "camera", "camera", "camera", "radio", "camera", "skateboard", "skateboard", "camera" ]
camera
396200
What is the cameraman filming?
396,200,002
396,200
[ "skateboarder", "skateboarding", "skateboarders", "skateboarding", "skateboarders", "skateboarder", "man skateboarding", "skateboarding", "skateboarder", "skateboard trick" ]
skateboarder
396200
What is the boy holding?
396,200,003
396,200
[ "video camera", "skateboard", "camera", "camera", "camera", "camera", "camera", "camera", "camera", "camera" ]
camera
396200
Is the skateboarder coming or going?
396,200,004
396,200
[ "coming", "coming", "coming", "coming", "coming", "coming", "coming", "coming", "coming", "coming" ]
coming
396200
How many boys riding the skateboard?
396,200,005
396,200
[ "2", "2", "2", "2", "2", "2", "1", "2", "1", "2" ]
2
396200
Is the boy alone?
396,200,006
396,200
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
396200
Where are the men?
396,200,007
396,200
[ "outside", "on street", "sidewalk", "on skateboards", "sidewalk", "sidewalk", "on cement", "city sidewalk", "sidewalk", "on sidewalk" ]
sidewalk
396200
According to the traffic lights in the back, is it safe for traffic to proceed?
396,200,008
396,200
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
396200
Where is there a row of bushes with flowers?
396,200,009
396,200
[ "sidewalk", "middle left", "on other side of cement", "left", "left", "sidewalk", "decoration", "back", "by trees", "no" ]
sidewalk
396200
Are these people at a skateboard park?
396,200,010
396,200
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
396200
What color pants is this skateboarder wearing?
396,200,011
396,200
[ "black", "black", "black", "black", "black", "brown", "black", "black", "black", "black" ]
black
396200
Is everyone going the same direction?
396,200,012
396,200
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes" ]
yes
396200
What is in the background?
396,200,013
396,200
[ "building", "building", "van", "city", "buildings", "buildings, cars", "traffic lights", "cars", "building", "traffic" ]
building
396200
What is the man throwing?
396,200,014
396,200
[ "not throwing", "nothing", "toy truck", "nothing", "board", "ball", "shade", "camera", "ball", "ball" ]
ball
396200
How many cars are shown?
396,200,015
396,200
[ "4", "4", "3", "6", "4", "5", "4", "4", "5", "4" ]
4
396200
Is the picture of the skateboarder blurry?
396,200,016
396,200
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
396200
What is the boy about to go down?
396,200,017
396,200
[ "ramp", "remote car", "sidewalk", "street", "sidewalk", "sidewalk", "sidewalk", "street", "no", "sidewalk" ]
sidewalk
396200
What does the man appear to be carrying?
396,200,018
396,200
[ "camera", "skateboard", "boombox", "video camera", "skateboard", "karma", "skateboard", "camera", "camera", "camera" ]
camera
396200
Which of the man's feet is touching the ground?
396,200,019
396,200
[ "0", "right", "neither", "both feet", "0", "neither", "0", "neither", "0", "neither" ]
0
396200
How many feet on the ground?
396,200,020
396,200
[ "4", "0", "0", "0", "0", "0", "0", "0", "0", "0" ]
0
396200
How many wheels are visible on the skateboard?
396,200,021
396,200
[ "2", "2", "3", "2", "2", "4", "2", "2", "4", "2" ]
2
396200
Is this kid on the right a professional skater?
396,200,022
396,200
[ "no", "yes", "no", "yes", "yes", "no", "no", "no", "no", "no" ]
no
396200
Are any of them wearing pants?
396,200,023
396,200
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
396200
What sport are the kids playing?
396,200,024
396,200
[ "skateboarding", "skateboarding", "skateboard", "skateboarding", "skateboarding", "skateboarding", "skateboarding", "skateboarding", "skateboarding", "skating" ]
skateboarding
396200
Are his feet on the skateboard?
396,200,025
396,200
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
396200
Are they both wearing helmets?
396,200,026
396,200
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
396200
Is everyone wearing pants?
396,200,027
396,200
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
396200
Is this in a parking lot?
396,200,028
396,200
[ "yes", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
396200
Is the weather bad?
396,200,029
396,200
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no