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
262895
Is the hair color natural?
262,895,009
262,895
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
262895
Is the man looking at the camera?
262,895,010
262,895
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
262895
What type of facial expression is this man showing?
262,895,011
262,895
[ "stern", "angry", "scowl", "scorn", "mad", "frown", "stern", "frown", "anger", "scowl" ]
stern
262895
What color is this man's hair?
262,895,012
262,895
[ "gray", "gray", "white", "white", "white", "gray", "white", "white", "gray", "silver" ]
white
262895
Is this man happy?
262,895,013
262,895
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
262895
Is he happy or sad?
262,895,014
262,895
[ "sad", "sad", "sad", "sad", "happy", "sad", "sad", "sad", "sad", "sad" ]
sad
262895
Is the man attending a funeral?
262,895,015
262,895
[ "no", "no", "no", "no", "yes", "no", "no", "no", "no", "no" ]
no
262895
What does the man's facial expression suggest?
262,895,016
262,895
[ "anger", "seriousness", "frustration", "disbelief", "he is angry", "angry", "skepticism", "mad", "frustration", "angry" ]
frustration
262895
How old is he?
262,895,017
262,895
[ "70", "75", "80", "75", "elderly", "70", "75", "72", "80", "80" ]
75
262895
Is his collar buttoned?
262,895,018
262,895
[ "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
262895
Is the man wearing a shirt?
262,895,019
262,895
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
262896
Is there any lemonade packets here?
262,896,000
262,896
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
262896
What utensil is being used?
262,896,001
262,896
[ "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon" ]
spoon
262896
What meal of the day does one assume this is for?
262,896,002
262,896
[ "lunch", "dinner", "dinner", "dinner", "dinner", "dinner", "lunch", "lunch", "dinner", "dinner" ]
dinner
262896
What is this meal?
262,896,003
262,896
[ "beef burgundy", "beef stew", "stew", "beef and gravy", "roast", "beef with gravy", "lunch", "dinner", "chinese", "hot beef" ]
beef burgundy
262896
How are the eggs cooked?
262,896,004
262,896
[ "over easy", "scrambled", "scrambled", "baked", "fried", "sunnyside", "not eggs", "poached", "1", "scrambled" ]
scrambled
262896
Is this healthy?
262,896,005
262,896
[ "no", "yes", "no", "no", "yes", "no", "no", "no", "no", "no" ]
no
43816
Has the ball left the pitcher's hand?
43,816,000
43,816
[ "yes", "yes", "yes", "yes", "yes", "no", "no", "yes", "yes", "yes" ]
yes
43816
Are both players standing in sand?
43,816,001
43,816
[ "yes", "yes", "yes", "no", "no", "yes", "yes", "yes", "no", "yes" ]
yes
43816
Is the player left handed?
43,816,002
43,816
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes" ]
yes
43816
What color is the catcher wearing?
43,816,003
43,816
[ "red", "red and gray", "red and black", "red", "white", "red", "red, gray", "red", "red gray", "white" ]
red
43816
Is the batter's uniform clean?
43,816,004
43,816
[ "no", "no", "no", "no", "no", "no", "yes", "o", "no", "no" ]
no
43816
Should the batter have swung at this ball?
43,816,005
43,816
[ "yes", "yes", "no", "yes", "no", "yes", "yes", "yes", "no", "yes" ]
yes
43816
What position is this man playing?
43,816,006
43,816
[ "catcher and batter", "catcher", "batter", "catcher", "batter", "batter", "catcher", "batter", "batter, catcher", "catcher" ]
catcher
43816
Is the player running?
43,816,007
43,816
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
43816
Will the catcher catch the ball?
43,816,008
43,816
[ "yes", "yes", "yes", "no", "yes", "no", "no", "yes", "yes", "no" ]
yes
43816
Is the batter ready to hit the ball?
43,816,009
43,816
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
43816
What team is at bat?
43,816,010
43,816
[ "cardinals", "cubs", "cubs", "cubs", "cubs", "cubs", "cubs", "cubs", "cubs", "cubs" ]
cubs
43816
Is the umpire visible?
43,816,011
43,816
[ "no", "no", "no", "no", "yes", "no", "no", "no", "no", "yes" ]
no
43816
Whose shadow is on the ground?
43,816,012
43,816
[ "batter", "batter's", "better, cubs win!", "players", "player", "batter's", "batter and catchers", "catcher and batter", "human", "batter" ]
batter
43816
How many players are in the picture?
43,816,013
43,816
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
43816
Are these people professionals?
43,816,014
43,816
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
43816
What color is the bat?
43,816,015
43,816
[ "tan", "white", "brown", "tan", "brown", "tan", "brown", "tan", "tan", "brown" ]
tan
43816
What color is the catcher's mitt?
43,816,016
43,816
[ "brown", "brown", "brown", "brown", "brown", "tan", "brown", "brown", "brown", "tan" ]
brown
43816
What is the person holding in his left hand?
43,816,017
43,816
[ "yes", "nothing", "glove", "bat", "catchers mitt", "baseball bat", "glove", "bat", "catchers mitt", "baseball glove" ]
glove
43816
What sport is this?
43,816,018
43,816
[ "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball" ]
baseball
43816
What color is the catchers shirt?
43,816,019
43,816
[ "red", "red", "brown", "white", "red", "red", "red", "red", "red", "red" ]
red
43816
Is the batter wearing knee high socks?
43,816,020
43,816
[ "no", "no", "no", "no", "no", "no", "no", "yes", "yes", "no" ]
no
43816
Is this before a pitch?
43,816,021
43,816
[ "no", "no", "yes", "no", "no", "no", "no", "no", "no", "yes" ]
no
43816
Was this a hit?
43,816,022
43,816
[ "no", "no", "no", "no", "yes", "no", "no", "yes", "yes", "yes" ]
no
43816
Who is standing behind the catcher?
43,816,023
43,816
[ "not possible", "no one that i can see", "umpire", "umpire", "umpire", "no one", "no one", "umpire", "batter", "can't see" ]
umpire
43816
Is he wearing a blue helmet?
43,816,024
43,816
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
43816
What color is the batters jersey?
43,816,025
43,816
[ "white, blue", "white", "white", "white", "white", "white and blue", "white stripe", "blue and white", "white", "white and blue" ]
white
43816
Is the baseball coming towards the man in the red shirt?
43,816,026
43,816
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
43816
Is the umpire standing?
43,816,027
43,816
[ "no", "no", "no", "no", "yes", "no", "yes", "no", "no", "no" ]
no
43816
What position does the player play?
43,816,028
43,816
[ "batter", "catcher", "batter", "hitter", "batter", "first base", "batter", "catcher", "batter", "batter" ]
batter
393971
What color is the keyboard?
393,971,000
393,971
[ "silver", "black", "black", "black", "black, silver", "black", "black and white", "gold", "silver", "black" ]
black
393971
How many animals are there?
393,971,001
393,971
[ "2", "1", "2", "1", "1", "2", "1", "1", "2", "1" ]
1
393971
What animals are in the picture?
393,971,002
393,971
[ "cat", "cat", "cat", "cats", "cat", "cats", "cats", "cats", "cats", "cat" ]
cat
262900
What color are the giraffes?
262,900,000
262,900
[ "brown and white", "brown and yellow", "gold", "brown and yellow", "brown and white", "brown and white", "brown and white", "brown", "orange", "tan and brown" ]
brown and white
262900
Is there more than one giraffe?
262,900,001
262,900
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no" ]
yes
262900
Is the giraffe eating?
262,900,002
262,900
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
757
How many elephants are pictured in this photo?
757,000
757
[ "4", "3", "03", "4", "4", "3", "3", "3", "3", "4" ]
3
757
Are the animals in the wild?
757,001
757
[ "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes" ]
yes
757
What type of enclosure is this?
757,002
757
[ "no enclosure", "elephants", "zoo", "open", "watering hole", "zoo", "close", "wild", "there is no enclosure", "no enclosure" ]
no enclosure
757
Are the elephants cuddling?
757,003
757
[ "nothing", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
757
Are these animals all touching?
757,004
757
[ "no", "no", "yes", "no", "yes", "no", "no", "no", "no", "no" ]
no
757
How long is this trunk?
757,005
757
[ "3 feet", "2.5 feet", "3 feet", "3 feet", "short", "7 feet", "long", "3 feet", "small", "3 feet" ]
3 feet
757
Are the elephants facing in the same direction?
757,006
757
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
757
How many elephants?
757,007
757
[ "3", "3", "4", "3", "3", "4", "3", "3", "4", "3" ]
3
757
How many baby elephants are present?
757,008
757
[ "1", "3", "2", "2", "4", "2", "2", "2", "2", "2" ]
2
757
What is the elephant doing?
757,009
757
[ "yawning", "trumpeting", "drinking", "drinking", "drinking", "raising its trunk", "drinking water", "drinking water", "drinking", "drinking water" ]
drinking
757
How many elephants are there?
757,010
757
[ "3", "3", "3", "3", "4", "3", "3", "3", "3", "4" ]
3
757
Is this a wild elephant?
757,011
757
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "probably", "yes", "yes" ]
yes
757
Does the smaller elephant have tusks?
757,012
757
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
757
Are all of the elephants adults?
757,013
757
[ "no", "no", "no", "no", "no", "no", "yes", "no", "no", "no" ]
no
757
What are the elephants leaning standing in front of?
757,014
757
[ "water", "water", "water", "water", "pond", "river", "elephants", "body of water", "body of water", "river" ]
water
757
Are these elephants touching each other?
757,015
757
[ "no", "no", "no", "yes", "no", "no", "no", "yes", "no", "no" ]
no
757
Do all the elephants have their trunks up?
757,016
757
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
757
How many tusks are visible?
757,017
757
[ "4", "6", "3", "4", "2", "3", "3", "4", "3", "3" ]
3
757
Are these elephants inside of a fenced area?
757,018
757
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
757
Does this elephant have tusks?
757,019
757
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
757
Is this animal resting?
757,020
757
[ "no", "no", "no", "no", "no", "no", "no", "yes", "no", "no" ]
no
757
Is this their natural environment?
757,021
757
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
761
Are the men construction workers?
761,000
761
[ "no", "no", "no", "no", "no", "no", "no", "yes", "no", "no" ]
no
761
What are these people about to do?
761,001
761
[ "go skiing", "ski", "ski", "skate", "skiing", "ski", "ski", "ski", "ski", "ski" ]
ski
761
How many skis are here?
761,002
761
[ "6", "9", "8", "6", "24", "7", "6", "14", "6", "10" ]
6
761
What color goggles man in middle wearing?
761,003
761
[ "black", "red", "black", "black", "black", "black", "black", "black", "black", "black" ]
black
761
Is anyone wearing a blue shirt?
761,004
761
[ "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
761
What color is the jacket of the man on the right?
761,005
761
[ "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow" ]
yellow
525050
What is this road?
525,050,000
525,050
[ "prairie st", "prairie st", "prairie st", "lines", "prairie st", "prairie st", "prairie", "prairie street", "prairie", "prairie" ]
prairie st
525050
What time of day is it?
525,050,001
525,050
[ "noon", "morning", "morning", "noon", "midday", "morning", "12 pm", "afternoon", "noon", "noon" ]
noon
525050
What type of flowers are growing in front of the business sign?
525,050,002
525,050
[ "yellow", "pansies", "yellow marigolds", "yellow ones", "petunias", "buttercups", "daisies", "marigolds", "yellow", "daisies" ]
yellow
525050
What country is this?
525,050,003
525,050
[ "united states", "united states", "america", "usa", "usa", "usa", "usa", "us", "america", "usa" ]
usa
525050
What street is this stop sign on?
525,050,004
525,050
[ "prairie street", "prairie st", "prairie", "prairie", "prairie", "prairie", "prairie", "prairie", "prairie", "prairie" ]
prairie
525050
What is the color of the sky?
525,050,005
525,050
[ "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue" ]
blue
525050
Is there a person in the picture?
525,050,006
525,050
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
525050
What color are the blossoms?
525,050,007
525,050
[ "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow", "yellow" ]
yellow
525050
Are there cars parked?
525,050,008
525,050
[ "no", "no", "no", "no", "no", "no", "yes", "no", "no", "no" ]
no
525050
When two cars stop at the same time at this intersection, who would have the right of way?
525,050,009
525,050
[ "i don't know", "car going straight across intersection", "whoever got there first", "right", "left car", "on in first lane", "right", "one on right", "car on right", "one to right" ]
right
525050
What does the sign say?
525,050,010
525,050
[ "stop", "stop", "stop", "stop", "stop", "stop", "stop", "stop", "stop", "stop" ]
stop
525050
What street is this sign located?
525,050,011
525,050
[ "prairie", "prairie", "prairie", "prairie street", "prairie st", "prairie", "above stop sign", "prairie", "prairie", "sidewalk" ]
prairie
525050
What are the street names at this intersection?
525,050,012
525,050
[ "prairie", "prairie st", "unknown", "prairie street", "prairie st", "prairie st", "prairie st", "prairie", "prairie", "prairie" ]
prairie
525050
What does the sign read?
525,050,013
525,050
[ "stop", "stop", "stop", "stop", "stop", "stop", "stop", "stop", "prairie st 18400 and stop all way", "stop" ]
stop
525050
Where is the street and stop sign?
525,050,014
525,050
[ "prairie", "right side", "prairie/stop", "sidewalk", "left", "on street corner", "sidewalk", "prairie st", "prairie street", "left side" ]
sidewalk
525050
What street can you see?
525,050,015
525,050
[ "prairie", "prairie st", "prairie", "prairie st", "prairie st", "prairie st", "prairie street", "prairie st", "prairie st", "prairie" ]
prairie st
525050
Which exit is being taken?
525,050,016
525,050
[ "prairie street", "none", "none", "first", "right", "prairie", "right", "prairie st", "right side", "prairie st" ]
none
525050
What is this sign mean?
525,050,017
525,050
[ "stop", "stop", "stop", "stop", "stop", "everyone stops", "all cars stop at corner", "stop", "stop", "stop" ]
stop
525050
Is this a recent photo?
525,050,018
525,050
[ "yes", "yes", "maybe", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
525050
What color is the signpost in the foreground?
525,050,019
525,050
[ "silver", "gray", "black", "red", "red, white", "black", "red and white", "red", "green", "red and white" ]
black