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
396693
Is the man falling?
396,693,004
396,693
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
396693
Is the kid riding a big wave?
396,693,005
396,693
[ "no", "no", "yes", "no", "yes", "yes", "no", "yes", "yes", "yes" ]
yes
134551
What sport is this?
134,551,000
134,551
[ "tennis", "tennis", "tennis", "baseball", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis" ]
tennis
134551
Is he wearing a cap?
134,551,001
134,551
[ "yes", "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134551
Is there any water?
134,551,002
134,551
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "yes" ]
no
134551
What game is this?
134,551,003
134,551
[ "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis" ]
tennis
134551
Is the photo colored?
134,551,004
134,551
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
134551
How many items are in the mesh?
134,551,005
134,551
[ "1", "1", "0", "1", "2", "1", "0", "0", "0", "nothing" ]
1
134551
Which game are they playing?
134,551,006
134,551
[ "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "baseball", "tennis", "tennis", "baseball" ]
tennis
134552
What type of sneakers is she wearing?
134,552,000
134,552
[ "tennis shoes", "sketchers", "adidas", "tennis", "reebok", "metallic", "athletic", "shiny", "nike", "tennis" ]
tennis
134552
Did she just hit the ball?
134,552,001
134,552
[ "no", "no", "no", "no", "yes", "no", "no", "no", "no", "no" ]
no
134552
What color is his headband?
134,552,002
134,552
[ "white", "white", "white", "white", "white", "white", "white", "white", "white", "white" ]
white
134552
Why is she wearing white?
134,552,003
134,552
[ "traditional tennis color", "tennis", "to reflect light", "tennis", "tennis outfit", "tennis", "its traditional", "uniform", "tennis uniform", "playing tennis" ]
tennis
134552
Is this tennis?
134,552,004
134,552
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
488942
Are there any trees?
488,942,000
488,942
[ "yes", "yes", "no", "catch", "yes", "yes", "yes", "yes", "no", "yes" ]
yes
488942
What is the clock attached to?
488,942,001
488,942
[ "pole", "column", "pole", "pole", "pole", "pole", "pole", "pole", "pole", "pole" ]
pole
488942
Is there a clock on the top of the building?
488,942,002
488,942
[ "no", "no", "no", "no", "yes", "no", "no", "no", "no", "no" ]
no
488942
Is the time right?
488,942,003
488,942
[ "yes", "yes", "i don't know", "yes", "yes", "yes", "yes", "yes", "yes", "no" ]
yes
488942
What time does the clock show?
488,942,004
488,942
[ "9:35", "935", "9 35", "9:35", "9:35", "9:35", "9:35", "12:47", "9:35", "9:35" ]
9:35
488942
Is this a sightseeing attraction?
488,942,005
488,942
[ "no", "yes", "yes", "no", "yes", "yes", "no", "yes", "no", "no" ]
no
488942
What time is on the clock?
488,942,006
488,942
[ "9:35", "9:35", "9:35", "9:35", "9:35", "9:35", "9:35", "9:35", "9:35", "9:35" ]
9:35
488942
Are the clock hours Arabic numbers or Roman numerals?
488,942,007
488,942
[ "roman", "roman", "roman numerals", "roman", "roman numerals", "roman", "roman", "roman numerals", "roman numerals", "roman numerals" ]
roman
488942
Is the clock tower making a shadow on the building behind it?
488,942,008
488,942
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
134555
What is the elephants tusks made out of?
134,555,000
134,555
[ "ivory", "ivory", "ivory", "ivory", "ivory", "ivory", "ivory", "ivory", "ivory", "ivory" ]
ivory
134555
Where is this?
134,555,001
134,555
[ "zoo", "zoo", "zoo", "zoo", "zoo", "zoo", "zoo", "zoo", "zoo", "zoo" ]
zoo
134555
Where is the elephant?
134,555,002
134,555
[ "zoo", "zoo", "zoo", "zoo", "zoo", "behind wires", "behind fence", "behind fence", "zoo", "captivity" ]
zoo
265628
Is the toilet seat up or done?
265,628,000
265,628
[ "up", "up", "up", "up", "down", "up", "up", "up", "up", "missing" ]
up
265628
What room is this?
265,628,001
265,628
[ "bathroom", "bathroom", "bathroom", "bathroom", "toilet", "bathroom", "bathroom", "bathroom", "bathroom", "bathroom" ]
bathroom
265628
What color are the walls?
265,628,002
265,628
[ "brown", "brown", "brown", "brown", "brown", "orange", "brown", "brown", "brown", "brown" ]
brown
134558
Is he being watched?
134,558,000
134,558
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134558
Has the boy already hit the ball?
134,558,001
134,558
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134558
What tennis player is this boy's form most like?
134,558,002
134,558
[ "andy murray", "andre agassi", "man", "agassi", "serena", "professional", "serena williams", "unknown", "unknown", "mine" ]
unknown
134558
Is the boy smiling?
134,558,003
134,558
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
134558
What color are his shorts?
134,558,004
134,558
[ "red", "red", "red", "red", "red", "red", "red", "red and blue", "red", "red" ]
red
134558
What sport is this person playing?
134,558,005
134,558
[ "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennessee", "tennis" ]
tennis
3488
What color is the flag?
3,488,000
3,488
[ "red", "red", "red", "orange", "red", "red", "red", "red", "red", "red" ]
red
3488
What sport is this?
3,488,001
3,488
[ "soccer", "soccer", "soccer", "soccer", "soccer", "soccer", "soccer", "soccer", "soccer", "soccer" ]
soccer
3488
What kind of shoes is the man wearing?
3,488,002
3,488
[ "sneakers", "cleats", "black", "cleats", "soccer", "soccer cleats", "soccer cleats", "cleats", "cleats", "cleats" ]
cleats
3488
Is this man wearing a team uniform?
3,488,003
3,488
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
3488
What is the man looking at?
3,488,004
3,488
[ "goal", "ground", "ball", "soccer ball", "ball", "soccer ball", "soccer ball", "ball", "soccer ball", "ball" ]
ball
3488
What color are the man's shoes?
3,488,005
3,488
[ "black", "black", "black", "black", "black, yellow", "black", "black", "black", "black", "black" ]
black
3488
Why is he kicking the ball instead of throwing it?
3,488,006
3,488
[ "soccer", "he can't touch it", "playing soccer", "soccer", "soccer", "soccer", "soccer", "hands aren't used in soccer", "he's playing soccer", "soccer" ]
soccer
3488
What sport is he playing?
3,488,007
3,488
[ "soccer", "soccer", "soccer", "soccer", "soccer", "soccer", "soccer", "soccer", "soccer", "soccer" ]
soccer
3488
What is the name of the above move in the game of soccer?
3,488,008
3,488
[ "kicking", "kick", "kick", "kick", "shoot", "kick", "strike", "kick", "kicking", "kick" ]
kick
265635
What kind of shoes are the woman wearing?
265,635,000
265,635
[ "high heels", "t strap heels", "high heels", "high heals", "pumps", "high heels", "high heels", "high heels", "heels", "high heels" ]
high heels
265635
Is this woman pooping?
265,635,001
265,635
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
265635
How many women are shown?
265,635,002
265,635
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
265635
What is the woman looking at?
265,635,003
265,635
[ "camera", "camera", "camera", "camera", "right", "camera", "camera", "camera", "camera", "camera" ]
camera
265635
What is she standing upon?
265,635,004
265,635
[ "map", "maps", "colored ground", "maps", "map", "map", "floor", "map", "floor", "map" ]
map
265636
What color is the bear?
265,636,000
265,636
[ "brown", "brown", "brown", "brown", "brown", "golden brown", "brown", "brown", "brown", "brown" ]
brown
265636
Is this a real picture, or a drawing?
265,636,001
265,636
[ "real", "real", "real", "drawing", "real", "real picture", "real", "real", "real", "drawing" ]
real
265636
Is the bear wearing a Santa outfit?
265,636,002
265,636
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
265636
How many stickers are there?
265,636,003
265,636
[ "13", "15", "15", "3", "15", "16", "15", "15", "15", "15" ]
15
265636
What is on the surface it's lying on?
265,636,004
265,636
[ "cloth", "bed", "carpet", "couch", "bed", "nothing", "table", "couch", "can't tell", "sofa" ]
bed
265636
Is there a plant in the picture?
265,636,005
265,636
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
265636
Is the card on the table written in English?
265,636,006
265,636
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
265636
What color are the decorations?
265,636,007
265,636
[ "green", "green", "rainbow", "green", "green", "multi colored", "green", "green", "red, white, green, blue, yellow", "green" ]
green
265636
Is the bear real?
265,636,008
265,636
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
265636
What does the sign say?
265,636,009
265,636
[ "happy birthday", "happy birthday", "happy birthday", "happy birthday", "happy birthday", "happy birthday", "happy birthday", "happy birthday", "happy birthday", "happy birthday" ]
happy birthday
265636
Is the teddy bear sitting on top of a laptop?
265,636,010
265,636
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
527783
What kind of vehicle is this?
527,783,000
527,783
[ "airplane", "plane", "plane", "plane", "airplane", "plane", "airplane", "airplane", "airplane", "plane" ]
airplane
527783
How many windows in the front of the lead plane?
527,783,001
527,783
[ "5", "6", "6", "4", "6", "4", "6", "6", "5", "5" ]
6
527783
Is there any clouds in the sky?
527,783,002
527,783
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
527784
What brand of beer is on the table?
527,784,000
527,784
[ "red stripe", "red stripe", "red stripe", "red stripe", "red stripe", "red stripe", "red stripe", "red striper", "red stripe", "red stripe" ]
red stripe
527784
How many plates are there?
527,784,001
527,784
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
527784
What kind of food is this?
527,784,002
527,784
[ "pub", "sandwich", "sandwiches", "sandwich", "sandwich", "sandwiches", "sandwich", "pub food", "sandwich", "sandwich" ]
sandwich
3501
What type of meat is in the chili?
3,501,000
3,501
[ "chicken", "beef", "beef", "beef", "pork", "0", "beef", "chicken", "beef", "beef" ]
beef
3501
What kind of greens are on the plate?
3,501,001
3,501
[ "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli" ]
broccoli
3501
Is there meat in this dish?
3,501,002
3,501
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "yes" ]
no
3501
What color is the plate?
3,501,003
3,501
[ "white", "white", "white", "white", "white", "white", "white", "white", "white", "white" ]
white
3501
What vegetable is on the plate?
3,501,004
3,501
[ "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli" ]
broccoli
134574
What utensil is on the plate?
134,574,000
134,574
[ "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon" ]
spoon
134574
How many plates are filled with food?
134,574,001
134,574
[ "3", "3", "3", "4", "3", "3", "3", "3", "4", "3" ]
3
134574
What type of meat is that?
134,574,002
134,574
[ "dinner", "beef", "pork", "beef", "beef", "beef", "steak", "lunch", "beef", "roast beef" ]
beef
134574
What silverware is available?
134,574,003
134,574
[ "spoon", "spoon", "spoon and chopsticks", "spoon", "two spoons and chopsticks", "spoon", "spoons", "spoon", "spoon", "spoon" ]
spoon
134574
What is the utensil shown?
134,574,004
134,574
[ "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spon", "spoon", "spoon", "spoon" ]
spoon
134574
What are these plates made out of?
134,574,005
134,574
[ "ceramic", "ceramic", "ceramic", "glass", "ceramic", "ceramic", "ceramic", "porcelain", "glass", "ceramic" ]
ceramic
134574
What kind of food is on the plate?
134,574,006
134,574
[ "meat", "chinese", "dinner", "chinese", "chinese", "steak", "american", "chinese", "meat", "beef and peppers" ]
chinese
134574
Is that a spoon in the plate?
134,574,007
134,574
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134574
How many meats are shown?
134,574,008
134,574
[ "2", "1", "1", "lots", "2", "1", "1", "2", "3", "8" ]
1
134574
Is there any silverware pictured?
134,574,009
134,574
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134574
Does this look like it would taste good?
134,574,010
134,574
[ "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
134574
How many plates are shown?
134,574,011
134,574
[ "4", "5", "6", "6", "5", "3", "5", "8", "5", "5" ]
5
134574
Which types of meat are shown?
134,574,012
134,574
[ "beef, shrimp", "beef", "steak", "beef and shrimp", "steak", "liver,swim", "beef", "beef", "beef", "steak" ]
beef
134574
What is on the table?
134,574,013
134,574
[ "food", "food", "plates of food, glasses, bowls", "food", "food", "food", "food", "food", "food", "food" ]
food
134575
What word is on the right side of the kite?
134,575,000
134,575
[ "eaton", "nova", "devon", "bacon", "nova", "eaton", "nova", "eaton", "devon", "nova" ]
nova
134575
What color is the kite?
134,575,001
134,575
[ "red", "red, gold, black", "red black brown", "red", "gold, red, white, and black", "red yellow and white", "red and gold", "red, tan and black", "red, yellow, black", "red" ]
red
134575
How many people are in the picture?
134,575,002
134,575
[ "2", "6", "2", "2", "6", "2", "2", "6", "2", "2" ]
2
265648
Why should someone with dirty, greasy clothing avoid sitting on this furniture?
265,648,000
265,648
[ "its white", "because it's white", "it is white and clean", "dirty", "it is white", "because it's white", "white", "yes", "clean", "stains easy" ]
because it's white
265648
What color is the wall?
265,648,001
265,648
[ "white", "white", "white", "white", "white", "white", "white", "white", "white", "white" ]
white
265648
What is hanging on the wall?
265,648,002
265,648
[ "painting", "artwork", "picture", "picture", "painting", "picture", "picture", "picture", "painting", "painting" ]
picture
506401
How many traffic lights are visible?
506,401,000
506,401
[ "1", "1", "2", "1", "1", "2", "1", "1", "1", "2" ]
1
506401
Do you see animals in picture?
506,401,001
506,401
[ "yes", "yes", "yes", "no", "no", "yes", "yes", "yes", "no", "no" ]
yes
506401
Should you stop in a car?
506,401,002
506,401
[ "yes", "yes", "sometimes", "no", "yes", "yes", "no", "yes", "yes", "no" ]
yes
506401
Which of the two brand names on the building is more popular?
506,401,003
506,401
[ "mcdonald's", "mcdonald's", "mcdonald's", "mcdonald's and baxter", "mcdonald's", "mcdonald's", "mcdonald's", "mcdonald's", "mcdonald's", "mcdonald's" ]
mcdonald's
506401
What restaurant's sign can be seen at left?
506,401,004
506,401
[ "mcdonalds", "mcdonald's", "mcdonald's", "yes", "mcdonald's", "mcdonald's", "mcdonald's", "mcdonald's", "mcdonald's", "mcdonald's" ]
mcdonald's
506401
What plant is at the very front of the photo?
506,401,005
506,401
[ "bush", "tree", "bush", "bush", "shrub", "bush", "bushes", "bush", "no", "bush" ]
bush
396727
What type of bus is this?
396,727,000
396,727
[ "1 decker", "double decker", "charter", "tour bus", "coach", "passenger bus", "coach", "tour", "long trip bus", "tour" ]
coach
396727
Is this place in the United States?
396,727,001
396,727
[ "no", "yes", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
396727
What color is the bus?
396,727,002
396,727
[ "orange and black", "red", "orange", "orange", "orange", "orange", "orange", "orange", "red", "orange" ]
orange