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
2529
Is there snow on the ground?
2,529,010
2,529
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
2532
Is the skier going downhill?
2,532,000
2,532
[ "no", "no", "yes", "yes", "no", "yes", "no", "no", "no", "no" ]
no
2532
How do you know this skier is not alone on the mountain?
2,532,001
2,532
[ "someone had to take photo", "tracks", "other ski tracks and footprints", "photographer", "ski tracks", "footprints", "don't", "i can see 4 arms", "photographer", "someone taking picture" ]
photographer
2532
How cold is it?
2,532,002
2,532
[ "cold", "15 degrees", "freezing", "very", "cold", "freezing", "cold", "very", "very", "nice" ]
cold
2532
Is it a sunny or cloudy day?
2,532,003
2,532
[ "sunny", "cloudy", "cloudy", "sunny", "sunny", "sunny", "sunny", "sunny", "sunny", "sunny" ]
sunny
2532
What color is the sky?
2,532,004
2,532
[ "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue" ]
blue
395749
What filter is being used in this image?
395,749,000
395,749
[ "black and white", "black & white", "black and white", "black and white", "black and white", "black and white", "grayscale", "black and white", "black and white", "lighting filter" ]
black and white
395749
Are all the people elderly?
395,749,001
395,749
[ "no", "yes", "no", "no", "yes", "no", "yes", "no", "no", "no" ]
no
395749
How many people can be seen?
395,749,002
395,749
[ "4", "4", "4", "4", "4", "4", "4", "4", "4", "4" ]
4
395749
What ocean might this be?
395,749,003
395,749
[ "atlantic", "antarctic", "atlantic", "pacific", "atlantic ocean", "atlantic ocean", "pacific", "atlantic", "atlantic", "pacific" ]
atlantic
395749
How many people are in the photo?
395,749,004
395,749
[ "4", "4", "4", "4", "4", "4", "4", "4", "4", "4" ]
4
395752
What color are the mums in the front of the photo?
395,752,000
395,752
[ "pink", "red", "pink, red, yellow", "red", "yellow", "red yellow and purple", "yellow", "red, yellow, and pink", "red yellow and pink", "pink" ]
pink
395752
Can a mail truck fit behind the bus to pick up the mail?
395,752,001
395,752
[ "yes", "yes", "yes", "yes", "maybe", "no", "yes", "yes", "yes", "no" ]
yes
395752
What "Over the Rainbow" singer sang about this vehicle?
395,752,002
395,752
[ "judy garland", "judy garland", "train", "judy garland", "elvis", "hawaiian guy", "judy garland", "judy garland", "mr rogers", "john oliver" ]
judy garland
395752
What color are the hubcaps?
395,752,003
395,752
[ "red", "red", "red", "orange", "red", "red", "pink", "red", "red", "pink" ]
red
395752
Is someone getting on this street car?
395,752,004
395,752
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
264683
Is this airplane inside?
264,683,000
264,683
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
264683
What airline does the plane fly for?
264,683,001
264,683
[ "air france", "air france", "air france", "air france", "air france", "air france", "air france", "air france", "air france", "air france" ]
air france
264683
Are there planes hanging?
264,683,002
264,683
[ "yes", "yes", "yes", "most", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
264686
How many side tables are there?
264,686,000
264,686
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
264686
How many windows are on the wall?
264,686,001
264,686
[ "3", "3", "3", "3", "3", "3", "3", "3", "3", "3" ]
3
264686
Is the TV a tube or flat screen?
264,686,002
264,686
[ "tube", "tube", "tube", "tube", "tube", "tube", "tube", "tube", "tube", "tube" ]
tube
133619
What type of truck is it?
133,619,000
133,619
[ "fire engine", "fire truck", "service truck", "fire truck", "fire truck", "fire", "fire truck", "firefighter", "type of truck is tractor trailer", "fire" ]
fire truck
133619
What time of day is it?
133,619,001
133,619
[ "night", "night", "night", "night", "evening", "evening", "nighttime", "night", "night", "night" ]
night
133619
What color is the light above the hood of the truck?
133,619,002
133,619
[ "yellow", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue" ]
blue
133620
Why does the woman have her hair up?
133,620,000
133,620
[ "uniform", "on duty", "uniform", "helmet", "helmet", "to see", "working", "wearing helmet", "to wear cape", "to fit in hat" ]
uniform
133620
Is she wearing glasses?
133,620,001
133,620
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133620
What is she wearing on her head?
133,620,002
133,620
[ "hat", "helmet", "hat", "helmet", "helmet", "helmet hat", "hat", "helmet", "helmet", "hat" ]
helmet
133620
Is the woman happy?
133,620,003
133,620
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
526837
Is this man dressed for the weather?
526,837,000
526,837
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
526837
What is this man holding?
526,837,001
526,837
[ "ski pole", "ski poles", "poles", "skate", "skis", "ski poles", "ski poles", "skiing", "ski pole", "ski poles" ]
ski poles
526837
What is covering the ground?
526,837,002
526,837
[ "snow", "snow", "snow", "snow", "snow", "snow", "snow", "snow", "snow", "snow" ]
snow
133622
Are these vegetables or fruits?
133,622,000
133,622
[ "vegetables", "vegetables", "vegetables", "vegetables", "vegetables", "vegetables", "vegetables", "vegetables", "vegetables", "vegetables" ]
vegetables
133622
What is the yellow topping?
133,622,001
133,622
[ "cheese", "glaze", "cheese", "cheese", "cheese", "cheese", "cheese", "cheese", "cheese", "cheese" ]
cheese
133622
Is this a high class dish?
133,622,002
133,622
[ "yes", "yes", "no", "no", "no", "yes", "no", "no", "no", "yes" ]
no
133622
What is the long thin food with seeds?
133,622,003
133,622
[ "broccoli", "cake", "cheese", "no food with seeds", "noodles", "peas", "yellow pepper", "broccoli", "mustard", "broccoli" ]
broccoli
133622
What is the green topping?
133,622,004
133,622
[ "broccoli", "broccoli", "broccoli", "spinach", "parsley", "broccoli", "spinach", "broccoli", "green topping is kale", "broccoli w cheese" ]
broccoli
133622
What is the yellow item pictured?
133,622,005
133,622
[ "cheese", "cake", "cheese", "cheesecake", "cake", "quiche", "food", "potato", "cheese", "quiche" ]
cheese
133622
How are the eggs cooked?
133,622,006
133,622
[ "scrambled", "scramble", "omelet", "deliciously", "scramble", "0", "quiche", "scrambled", "0", "baked" ]
scrambled
133622
What vegetable is this?
133,622,007
133,622
[ "broccoli", "broccoli", "broccoli", "kale", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli", "broccoli" ]
broccoli
133622
What kinds of food are on the plate?
133,622,008
133,622
[ "breakfast", "spinach", "eggs, spinach", "vegetables", "broccoli", "broccoli", "quiche and broccoli", "pizza", "quiche", "broccoli and sandwich" ]
broccoli
22271
Is this a bright and sunny day?
22,271,000
22,271
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
22271
Are there people in the picture?
22,271,001
22,271
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
22271
What is the name of the street sign on the ground?
22,271,002
22,271
[ "western ave", "western ave", "western ave", "western ave", "western", "western", "western", "western", "western avenue", "western ave" ]
western ave
133629
Is this a public place?
133,629,000
133,629
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
133629
What color is the desk?
133,629,001
133,629
[ "brown", "brown", "brown", "brown", "brown", "black", "brown", "brown", "brown", "brown" ]
brown
133629
How many chairs have wheels?
133,629,002
133,629
[ "1", "1", "1", "1", "1", "1", "1", "1", "1", "1" ]
1
133629
Is this chair in the way of people who might walk through?
133,629,003
133,629
[ "no", "no", "no", "no", "no", "yes", "no", "no", "no", "no" ]
no
133629
Can these items be used to make food?
133,629,004
133,629
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
133629
What do people do here?
133,629,005
133,629
[ "work", "work", "office work", "work", "work", "work", "work", "study", "work", "work" ]
work
133629
What color is the lampshade?
133,629,006
133,629
[ "off white", "white", "white", "white", "white", "off white", "white", "beige", "white", "white" ]
white
133629
What type of computer is on the desk?
133,629,007
133,629
[ "mac", "laptop", "laptop", "laptop", "laptop", "apple", "laptop", "apple", "laptop", "laptop" ]
laptop
133631
Which is longer, the Elephant's tusks or the Elephant's trunk?
133,631,000
133,631
[ "trunk", "trunk", "trunk", "trunk", "trunk", "trunk", "trunk", "trunk", "elephant's trunk", "trunk" ]
trunk
133631
Is it sunny out?
133,631,001
133,631
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133631
Does the elephant need water?
133,631,002
133,631
[ "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
2562
What is the color scheme of the photo?
2,562,000
2,562
[ "white", "white and blue", "white, blue", "blue", "white", "white and blue", "white and blue", "blue/white", "white and blue", "blue" ]
white and blue
2562
Are all the men tennis players?
2,562,001
2,562
[ "yes", "no", "no", "yes", "yes", "no", "no", "yes", "yes", "no" ]
yes
2562
Is the man wearing a wristband?
2,562,002
2,562
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
2562
What two brands are shown advertised behind the tennis player?
2,562,003
2,562
[ "olympus and wta", "olympus and wta", "wta and olympus", "olympus and wta", "wta and olympus", "wta, olympus", "olympus, wta", "wta, olympus", "olympus wta", "wta and olympus" ]
olympus and wta
2562
What sport is being played?
2,562,004
2,562
[ "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis", "tennis" ]
tennis
133636
What is the number on the left parking meter?
133,636,000
133,636
[ "12", "12", "19", "12", "12/13", "12", "12", "12", "12", "13" ]
12
133636
How much time is left?
133,636,001
133,636
[ "0 time", "expired", "0", "0", "0", "0", "0", "0", "0", "0" ]
0
133636
What number is the parking meter on the right?
133,636,002
133,636
[ "13", "13", "13", "13", "13", "13", "19", "13", "13", "13" ]
13
133636
Is there any cars on the street?
133,636,003
133,636
[ "no", "no", "0", "no", "no", "no", "no", "no", "no", "no" ]
no
133636
Are the meters rusted?
133,636,004
133,636
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
133636
Is there time remaining on the meter?
133,636,005
133,636
[ "yes", "yes", "no", "no", "no", "no", "expired", "no", "no", "no" ]
no
133636
How many meters are there?
133,636,006
133,636
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
133645
Is there someone on the bench?
133,645,000
133,645
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
133645
Are the street lights turned on?
133,645,001
133,645
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133645
Is the water clear?
133,645,002
133,645
[ "no", "yes", "yes", "no", "yes", "no", "yes", "no", "no", "yes" ]
no
133645
What type of boat is in the water?
133,645,003
133,645
[ "private", "sailboat", "pontoon", "small", "speed boat", "pontoon", "paddle boat", "commercial boat", "passenger", "fishing boat" ]
pontoon
264718
How long is the parking on the street?
264,718,000
264,718
[ "12 hours", "2 hours", "7 spots", "2 hours", "2 hour", "5", "2 hour", "2 hour", "long", "2 hour" ]
2 hour
264718
Do you have to pay to park here?
264,718,001
264,718
[ "yes", "yes", "yes", "yes", "no", "no", "yes", "yes", "yes", "no" ]
yes
264718
Which side of the sign is the road on?
264,718,002
264,718
[ "right", "left", "right", "right", "right", "right", "right", "right", "right", "right" ]
right
264718
What does the sign read?
264,718,003
264,718
[ "2 hour parking 8am to 8pm", "parking", "2 hour parking 8am-8pm", "2 hour parking 8am to 8pm", "2 hour parking", "2 hour parking 8am to 8pm", "2 hour parking", "2 hour parking", "parking", "2 hour parking" ]
2 hour parking
264718
What does the sign say?
264,718,004
264,718
[ "parking", "2 hour parking", "2 hour parking", "2 hour parking", "parking instructions", "parking", "parking", "parking", "2 hour parking", "2 hour parking" ]
2 hour parking
264718
What phone number is on the sign?
264,718,005
264,718
[ "0", "n/a", "0", "2", "0", "0", "no phone number", "0", "0", "0" ]
0
264718
What modes of transportation are in the picture?
264,718,006
264,718
[ "cars", "car", "car", "car", "cars", "car", "car", "cars", "car", "cars" ]
car
264718
What sign is to the right of the photo?
264,718,007
264,718
[ "2 hour parking", "parking", "2 hour parking", "parking sign", "parking", "2 hour parking", "directional sign", "2 hour parking sign", "parking", "2 hour parking sign" ]
2 hour parking
133648
Is the bat blue?
133,648,000
133,648
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133648
Is the photo colored?
133,648,001
133,648
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
133648
What color is the home plate umpire's shirt?
133,648,002
133,648
[ "white", "black", "black", "black", "black", "black", "black", "black", "black", "black" ]
black
133648
Which game are they playing?
133,648,003
133,648
[ "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball", "baseball" ]
baseball
459182
What are they carrying?
459,182,000
459,182
[ "surfboards", "surfboards", "surfboards", "surfboards", "surfboard", "surfboards", "surfboards", "surfboards", "surfboards", "surfboards" ]
surfboards
459182
What is in the foreground?
459,182,001
459,182
[ "rocks", "rocks", "rocks", "rocks", "rocks", "rocks", "rocks", "sand dunes", "hills", "rock" ]
rocks
459182
How many people are there?
459,182,002
459,182
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
395801
Is it morning or evening?
395,801,000
395,801
[ "evening", "morning", "morning", "evening", "evening", "morning", "evening", "morning", "evening", "morning" ]
evening
395801
How much does parking in the lot cost?
395,801,001
395,801
[ "nothing", "free", "free", "free", "0", "free", "free", "0", "free", "free" ]
free
395801
What is on the road?
395,801,002
395,801
[ "car", "car", "cars", "cones/cars", "cones", "car", "car", "stripes", "lines", "cones" ]
car
395801
How many people are in the picture?
395,801,003
395,801
[ "7", "7", "11", "8", "5", "21", "14", "18", "30", "10" ]
7
395801
Do the people know each other?
395,801,004
395,801
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
395801
How could you carry things if you were riding this bike?
395,801,005
395,801
[ "there is no bike", "on my back", "backpack", "on your shoulder", "yes", "bag", "basket", "basket", "in basket", "on your arms" ]
basket
395801
How many people are in this scene?
395,801,006
395,801
[ "25", "15", "9", "7", "10", "30", "at least 10", "7", "10", "10" ]
10
395801
What time is it?
395,801,007
395,801
[ "6:00", "6:00", "12:30", "12:30", "6:00", "6 pm", "5:59", "5:00", "6", "12:30" ]
6:00
264730
How many arches are under the clock?
264,730,000
264,730
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
264730
What time is it?
264,730,001
264,730
[ "10:50", "10:49", "8:45", "3:46", "almost 10", "3:50", "3:49", "9:50", "9:50", "9:49" ]
9:50
264730
Is a daytime or nighttime scene depicted?
264,730,002
264,730
[ "nighttime", "nighttime", "night", "night", "night", "nighttime", "daytime", "nighttime", "nighttime", "nighttime" ]
nighttime
264730
What kind of numbers are on the clock?
264,730,003
264,730
[ "roman numerals", "roman", "roman numerals", "roman numerals", "roman numerals", "roman", "roman", "roman numerals", "roman numeral", "roman numerals" ]
roman numerals
2587
Which food contains the most potassium?
2,587,000
2,587
[ "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana", "potassium" ]
banana
2587
What is not healthy in the baggie?
2,587,001
2,587
[ "donut", "doughnut", "donut", "donut", "donut", "bagel", "doughnut", "donut", "doughnut", "doughnut" ]
donut