id
int64
73
52.5k
gender
stringclasses
3 values
race
stringclasses
5 values
lang
stringclasses
52 values
age
stringclasses
10 values
filesize
float64
2.7
1.59k
width
int64
608
3.84k
height
int64
720
2.16k
length
float64
9.2
179
fps
float64
10
60
25,706
female
white
en
20-29
26.5
1,920
1,080
52.79
30
25,707
female
white
en
20-29
54.5
1,920
1,080
93.36
30
25,708
female
white
en
20-29
14.1
1,920
1,080
28.4
30
25,709
female
white
en
20-29
16.3
1,920
1,080
33.47
30
25,710
female
white
en
20-29
14.8
1,920
1,080
31.16
30
25,711
female
white
en
20-29
13.1
1,920
1,080
20.82
30
25,712
female
white
en
20-29
13.4
1,920
1,080
21.65
30
25,713
female
white
en
20-29
25.7
1,920
1,080
40.04
30
25,714
female
white
en
20-29
23.5
1,920
1,080
41.44
30
25,715
female
black
en
30-39
10.7
1,920
1,080
26.96
25
25,716
female
black
en
30-39
11.2
1,920
1,080
31.4
25
25,717
female
black
en
30-39
8.4
1,920
1,080
23.96
25
25,718
female
black
en
30-39
32.3
1,920
1,080
50.52
25
25,719
female
black
en
30-39
10.2
1,920
1,080
29.56
25
25,720
female
black
en
30-39
22.6
1,920
1,080
54.24
25
25,721
female
black
en
30-39
26.5
1,920
1,080
57.08
25
25,722
female
black
en
30-39
13.9
1,920
1,080
35.36
25
25,723
female
black
en
30-39
23.8
1,920
1,080
57.84
25
25,724
female
black
en
30-39
13.9
1,920
1,080
38.76
25
25,725
female
black
en
30-39
7.1
1,920
1,080
23
25
25,726
female
black
en
30-39
9.1
1,920
1,080
28.2
25
25,727
female
white
en
20-29
38.9
1,920
1,080
89.49
30
25,728
female
white
en
20-29
30.7
1,920
1,080
71.67
30
25,729
female
white
en
20-29
21.9
1,920
1,080
42.61
30
25,730
female
white
en
20-29
36
1,920
1,080
76.98
30
25,731
female
white
en
20-29
11.4
1,920
1,080
26.29
30
25,732
female
white
en
20-29
38.6
1,920
1,080
85.49
30
25,733
female
white
en
20-29
25.8
1,920
1,080
59.93
30
25,734
female
white
en
20-29
15.7
1,920
1,080
35.3
30
25,735
male
white
nl
30-39
38
1,920
1,080
69.08
25
25,736
male
white
nl
30-39
17.9
1,920
1,080
35.64
25
25,737
male
white
nl
30-39
11.3
1,920
1,080
24.32
25
25,738
male
white
nl
30-39
9.6
1,920
1,080
22.96
25
25,739
male
white
nl
30-39
22.5
1,920
1,080
37.04
25
25,740
male
white
nl
30-39
14.3
1,920
1,080
26.44
25
25,741
male
white
nl
30-39
10.4
1,920
1,080
23
25
25,742
male
white
pl
20-29
26.1
1,920
1,080
47.93
30
25,743
male
white
pl
20-29
25.9
1,920
1,080
53.83
30
25,744
male
white
pl
20-29
70.2
1,920
1,080
123.13
30
25,745
male
white
pl
20-29
51.5
1,920
1,080
87.7
30
25,746
male
white
pl
20-29
51.5
1,920
1,080
89.1
30
25,747
male
white
pl
20-29
39.6
1,920
1,080
71.8
30
25,748
male
white
pl
20-29
46.6
1,920
1,080
82.27
30
25,749
male
white
pl
20-29
83
1,920
1,080
155.87
30
25,750
female
white
en
40-49
97.1
1,920
1,080
165.23
30
25,751
female
white
en
40-49
97.8
1,920
1,080
140.04
30
25,752
female
white
en
40-49
75.5
1,920
1,080
133.23
30
25,753
female
white
en
20-29
55.3
1,920
1,080
67.64
25
25,754
female
white
en
20-29
28.3
1,920
1,080
37.12
25
25,755
female
white
en
20-29
15.9
1,920
1,080
20.44
25
25,756
female
white
en
20-29
21.9
1,920
1,080
28.04
25
25,757
female
white
en
20-29
14.9
1,920
1,080
20.44
25
25,758
female
white
en
20-29
16.1
1,920
1,080
20.32
25
25,759
female
white
en
20-29
33.1
1,920
1,080
35.96
25
25,760
female
white
en
20-29
14.6
1,920
1,080
20.68
25
25,761
female
white
en
20-29
34.3
1,920
1,080
47.44
25
25,762
female
white
en
20-29
25.3
1,920
1,080
35.2
25
25,763
male
asian
en
20-29
52.9
3,840
2,160
33.82
60
25,764
male
asian
en
20-29
59.8
3,840
2,160
34.17
60
25,765
female
white
en
20-29
54.6
1,920
1,080
65.77
30
25,766
female
asian
en
20-29
8.4
1,920
1,080
20.9
24
25,767
female
asian
en
20-29
8.5
1,920
1,080
21.27
24
25,768
female
asian
en
20-29
10.1
1,920
1,080
22.77
24
25,769
female
asian
en
20-29
9
1,920
1,080
22.52
24
25,770
female
asian
en
20-29
24.1
1,920
1,080
62.48
24
25,771
female
asian
en
20-29
17.5
1,920
1,080
43.42
24
25,772
male
asian
en
20-29
18.9
1,920
1,080
91.05
24
25,773
male
asian
en
20-29
5.9
1,920
1,080
21.98
24
25,774
male
asian
en
20-29
5.7
1,920
1,080
20.35
24
25,775
male
asian
en
20-29
14.8
1,920
1,080
58.64
24
25,776
male
asian
en
20-29
26.6
1,920
1,080
112.61
24
25,777
male
asian
en
20-29
12.2
1,920
1,080
42.96
24
25,778
male
asian
en
20-29
14
1,920
1,080
55.14
24
25,779
male
asian
en
20-29
5.9
1,920
1,080
28.24
24
25,780
male
asian
en
20-29
9.6
1,920
1,080
37.25
24
25,781
male
asian
en
20-29
11
1,920
1,080
44.96
24
25,782
male
asian
en
20-29
13.4
1,920
1,080
55.51
24
25,783
male
asian
en
20-29
11.3
1,920
1,080
40.17
24
25,784
female
white
en
20-29
10.7
1,920
1,080
20.69
30
25,785
female
white
en
20-29
18.1
1,920
1,080
40.44
30
25,786
female
white
en
20-29
17.5
1,920
1,080
33.7
30
25,787
female
white
en
20-29
13.1
1,920
1,080
25.13
30
25,788
female
white
cs
10-19
140.2
1,920
1,080
178
25
28,490
female
black
no
30-39
27.5
1,920
1,080
31.52
25
25,790
female
white
cs
10-19
13
1,920
1,080
20.16
25
25,791
female
asian
en
20-29
12.8
1,920
1,080
35.7
30
25,792
female
asian
en
20-29
12.3
1,920
1,080
37.3
30
25,793
female
asian
en
20-29
10.3
1,920
1,080
31.23
30
25,794
female
asian
en
20-29
10
1,920
1,080
32.9
30
25,795
female
asian
en
20-29
15.3
1,920
1,080
52.29
30
25,796
female
asian
en
20-29
20.9
1,920
1,080
77.84
30
25,797
female
asian
en
20-29
16.2
1,920
1,080
53.89
30
25,798
female
asian
en
20-29
8.3
1,920
1,080
22.76
30
25,799
female
asian
en
20-29
20.1
1,920
1,080
76.54
30
25,800
female
asian
en
20-29
12.4
1,920
1,080
29.46
30
25,801
female
asian
en
20-29
7.8
1,920
1,080
20.69
30
25,802
female
asian
en
20-29
13.6
1,920
1,080
37.9
30
25,803
female
asian
en
20-29
10.7
1,920
1,080
25.69
30
25,804
female
asian
en
20-29
6.3
1,920
1,080
20.39
30
25,805
female
asian
en
20-29
6.8
1,920
1,080
20.99
30