Datasets:
mcosarinsky
/
NSD-VQA

Dataset card Data Studio Files
xet
 Community
2
image_id
int64
0
123k
question_id
int64
1
2.1M
answer_id
int64
1
2.1M
question
stringlengths
20
48
answers
listlengths
1
7
category
stringclasses
25 values
0
1
1
Is this scene indoor or outdoor?
[ "outdoor" ]
scene
0
2
2
Where is this scene located?
[ "beach" ]
location
0
3
3
What is the person doing?
[ "surfing" ]
action
0
4
4
What is the person holding?
[ "surfboard" ]
holding
0
5
5
Is person in the image?
[ "yes" ]
person yes/no
0
6
6
Is surfboard in the image?
[ "yes" ]
sport yes/no
0
7
7
Is water in the image?
[ "yes" ]
nature yes/no
0
9
9
What color is the surfboard?
[ "white" ]
color
0
10
10
What color is the water?
[ "blue" ]
color
0
11
11
How many people are in this image?
[ "1" ]
counting
0
12
12
How many surfboards are in this image?
[ "1" ]
counting
1
13
13
Is this scene indoor or outdoor?
[ "outdoor" ]
scene
1
14
14
Where is this scene located?
[ "water" ]
location
1
15
15
Which animal is in the image?
[ "polar bear" ]
animal
1
16
16
Is polar bear in the image?
[ "yes" ]
animal yes/no
1
18
18
How many polar bears are in this image?
[ "1" ]
counting
2
19
19
Is this scene indoor or outdoor?
[ "indoor" ]
scene
2
20
20
Where is this scene located?
[ "room" ]
location
2
21
21
Is doll in the image?
[ "yes" ]
objects yes/no
2
23
23
Is basket in the image?
[ "yes" ]
household yes/no
2
24
24
What color is the doll?
[ "white" ]
color
2
26
26
What color is the basket?
[ "brown" ]
color
2
27
27
How many dolls are in this image?
[ "1" ]
counting
2
28
28
How many teddy bears are in this image?
[ "1" ]
counting
2
29
29
How many baskets are in this image?
[ "1" ]
counting
3
30
30
Is this scene indoor or outdoor?
[ "outdoor" ]
scene
3
31
31
Where is this scene located?
[ "street" ]
location
3
32
32
Is building in the image?
[ "yes" ]
structure yes/no
3
33
33
Is clock in the image?
[ "yes" ]
objects yes/no
3
34
34
Is statue in the image?
[ "yes" ]
structure yes/no
3
35
35
Is flag in the image?
[ "yes" ]
other yes/no
3
36
36
What color is the building?
[ "red" ]
color
3
37
37
What color is the clock?
[ "white" ]
color
3
38
38
What color is the statue?
[ "brown" ]
color
3
39
39
What color is the flag?
[ "red" ]
color
3
40
40
How many buildings are in this image?
[ "1" ]
counting
3
41
41
How many clocks are in this image?
[ "1" ]
counting
3
42
42
How many statues are in this image?
[ "3" ]
counting
3
43
43
How many flags are in this image?
[ "1" ]
counting
4
44
44
Is this scene indoor or outdoor?
[ "outdoor" ]
scene
4
45
45
Where is this scene located?
[ "garden" ]
location
4
46
46
Is table in the image?
[ "yes" ]
household yes/no
4
47
47
Is bench in the image?
[ "yes" ]
household yes/no
4
48
48
What color is the table?
[ "brown" ]
color
4
49
49
What color is the bench?
[ "brown" ]
color
4
50
50
How many tables are in this image?
[ "1" ]
counting
4
51
51
How many benches are in this image?
[ "2" ]
counting
5
52
52
Is this scene indoor or outdoor?
[ "outdoor" ]
scene
5
53
53
Where is this scene located?
[ "street" ]
location
5
54
54
Which vehicle is in the image?
[ "car" ]
vehicle
5
55
55
Is flag in the image?
[ "yes" ]
other yes/no
5
57
57
Is tree in the image?
[ "yes" ]
nature yes/no
5
58
58
Is street light in the image?
[ "yes" ]
street yes/no
5
59
59
Is car in the image?
[ "yes" ]
vehicle yes/no
5
60
60
What color is the flag?
[ "red" ]
color
5
61
61
What color is the building?
[ "blue" ]
color
5
62
62
What color is the tree?
[ "green" ]
color
5
63
63
What color is the street light?
[ "black" ]
color
5
64
64
What color is the car?
[ "red" ]
color
5
65
65
How many flags are in this image?
[ "few" ]
counting
5
66
66
How many buildings are in this image?
[ "2" ]
counting
5
67
67
How many trees are in this image?
[ "many" ]
counting
5
68
68
How many street lights are in this image?
[ "1" ]
counting
5
69
69
How many cars are in this image?
[ "1" ]
counting
6
70
70
Is this scene indoor or outdoor?
[ "indoor" ]
scene
6
71
71
Where is this scene located?
[ "bathroom" ]
location
6
72
72
Is toilet in the image?
[ "yes" ]
household yes/no
6
73
73
Is toilet paper in the image?
[ "yes" ]
household yes/no
6
74
74
Is tissue box in the image?
[ "yes" ]
household yes/no
6
77
77
What color is the tissue box?
[ "brown" ]
color
6
78
78
How many toilets are in this image?
[ "1" ]
counting
6
79
79
How many toilet papers are in this image?
[ "1" ]
counting
6
80
80
How many tissue boxes are in this image?
[ "1" ]
counting
7
81
81
Is this scene indoor or outdoor?
[ "outdoor" ]
scene
7
82
82
Where is this scene located?
[ "park" ]
location
7
83
83
What is the person doing?
[ "skateboarding" ]
action
7
84
84
Is person in the image?
[ "yes" ]
person yes/no
7
85
85
Is skateboard in the image?
[ "yes" ]
sport yes/no
7
86
86
Is bench in the image?
[ "yes" ]
household yes/no
7
87
87
Is tree in the image?
[ "yes" ]
nature yes/no
7
90
90
What color is the bench?
[ "gray" ]
color
7
91
91
What color is the tree?
[ "green" ]
color
7
92
92
How many people are in this image?
[ "1" ]
counting
7
93
93
How many skateboards are in this image?
[ "1" ]
counting
7
94
94
How many benches are in this image?
[ "1" ]
counting
7
95
95
How many trees are in this image?
[ "many" ]
counting
8
96
96
Is this scene indoor or outdoor?
[ "indoor" ]
scene
8
97
97
Where is this scene located?
[ "event" ]
location
8
98
98
What is the person doing?
[ "sitting" ]
action
8
99
99
Is person in the image?
[ "yes" ]
person yes/no
8
100
100
Is chair in the image?
[ "yes" ]
household yes/no
8
102
102
What color is the chair?
[ "white" ]
color
8
103
103
How many people are in this image?
[ "2" ]
counting
8
104
104
How many chairs are in this image?
[ "2" ]
counting
9
105
105
Is this scene indoor or outdoor?
[ "outdoor" ]
scene
9
106
106
Where is this scene located?
[ "lake" ]
location
9
107
107
What is the person doing?
[ "sitting" ]
action
9
108
108
Which vehicle is in the image?
[ "boat" ]
vehicle
9
109
109
Is person in the image?
[ "yes" ]
person yes/no
9
110
110
Is boat in the image?
[ "yes" ]
vehicle yes/no