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
14,428
male
white
en
50-59
18.8
1,920
1,080
44.79
24
14,429
male
white
en
50-59
12.3
1,920
1,080
29.49
24
14,430
male
white
en
30-39
20.6
3,840
2,160
20.64
25
14,431
male
white
en
30-39
51.8
3,840
2,160
43.44
25
14,432
female
asian
en
20-29
15.4
1,920
1,080
26.89
30
14,433
female
asian
en
20-29
24.5
1,920
1,080
38.94
30
14,434
female
asian
en
20-29
35.2
1,920
1,080
61.26
30
14,435
female
asian
en
20-29
12.9
1,920
1,080
23.12
30
14,436
female
asian
en
20-29
10.6
1,920
1,080
20.59
30
14,437
male
white
en
30-39
102.1
3,840
2,160
25.39
30
14,438
male
white
en
20-29
88
3,840
2,160
33.28
24
14,439
male
white
en
20-29
61.9
3,840
2,160
23.86
24
14,440
male
white
en
20-29
61.1
3,840
2,160
23.94
24
14,441
male
white
en
30-39
99.2
3,840
2,160
68.67
30
14,442
male
white
en
20-29
8.9
2,560
1,440
21.6
25
14,443
male
white
en
30-39
108.1
3,840
2,160
53.92
30
14,444
male
white
en
30-39
51.4
3,840
2,160
25.29
30
14,445
male
white
en
30-39
42.4
3,840
2,160
20.69
30
14,446
male
white
en
30-39
48
3,840
2,160
23.79
30
14,447
male
white
en
30-39
52.3
3,840
2,160
26.09
30
14,448
male
black
en
30-39
27.3
1,920
1,080
57.06
30
14,449
male
white
en
20-29
8.4
1,920
1,080
25.69
30
14,450
male
white
en
20-29
9.6
1,920
1,080
29.7
30
14,451
male
white
en
20-29
59.9
1,920
1,080
178.58
30
14,452
female
white
en
20-29
54.1
3,840
2,160
26.8
25
14,453
female
white
en
20-29
176
3,840
2,160
84.72
25
14,454
female
white
en
20-29
185.3
3,840
2,160
98.4
25
14,455
female
white
en
20-29
58.5
3,840
2,160
28.32
25
14,456
female
white
en
20-29
56.6
3,840
2,160
27
25
14,457
female
white
en
20-29
65.1
3,840
2,160
31.92
25
14,458
male
white
en
30-39
15.6
1,920
1,080
26.87
30
14,459
male
white
en
30-39
11.4
1,920
1,080
29.43
30
14,460
female
black
en
20-29
17.2
1,920
1,080
28.3
30
14,461
female
black
en
20-29
17.9
1,920
1,080
31.83
30
14,462
female
black
en
20-29
52.2
1,920
1,080
94.97
30
14,463
male
white
en
40-49
50.9
3,840
2,160
21.58
60
14,464
female
asian
en
20-29
23.9
1,920
1,080
76.53
30
14,465
female
asian
en
20-29
7.1
1,920
1,080
21.83
30
14,466
female
asian
en
20-29
11
1,920
1,080
33.43
30
14,467
female
asian
en
20-29
23.2
1,920
1,080
78.47
30
14,468
male
white
en
40-49
53.5
3,840
2,160
51.95
30
14,469
male
white
en
30-39
207.7
3,840
2,160
57.16
30
14,470
male
white
en
30-39
26.9
3,840
2,160
30.48
25
14,471
male
white
en
30-39
16.6
3,840
2,160
20.52
25
14,472
female
white
en
20-29
63.7
3,840
2,160
26.74
24
14,473
female
white
en
20-29
109
3,840
2,160
47.76
24
14,474
female
white
en
20-29
52.3
3,840
2,160
22.56
24
14,475
female
white
en
20-29
61.3
3,840
2,160
26.28
24
14,476
female
white
en
20-29
91.9
3,840
2,160
39.37
24
14,477
female
white
en
20-29
45.8
3,840
2,160
20.31
24
14,478
female
white
en
20-29
70.8
3,840
2,160
31.24
24
14,479
female
white
en
20-29
53.8
3,840
2,160
23.86
24
14,480
male
white
en
30-39
33.1
3,840
2,160
23.21
24
14,481
male
white
en
30-39
28.2
3,840
2,160
25.04
24
14,482
male
white
en
30-39
37.4
3,840
2,160
20.83
30
14,483
male
asian
en
30-39
121.2
1,920
1,080
68.33
30
14,484
male
white
en
30-39
49
3,840
2,160
31.43
30
14,485
male
white
en
30-39
50.7
3,840
2,160
34.13
30
14,486
male
white
en
20-29
104.1
3,840
2,160
27.63
30
14,487
female
white
en
20-29
10.1
1,920
1,080
24.49
30
14,488
male
white
en
20-29
94.9
3,840
2,160
70.44
25
14,489
female
white
en
20-29
9.5
1,920
1,080
21.19
30
14,490
female
white
en
20-29
14.5
1,920
1,080
31.13
30
14,491
female
white
en
20-29
19.4
1,920
1,080
32.87
30
14,492
female
white
en
20-29
21.2
1,920
1,080
31.3
30
14,493
female
white
en
20-29
16.3
1,920
1,080
30.13
30
14,494
female
white
en
20-29
7.5
1,920
1,080
24.69
30
14,495
female
white
en
20-29
8.3
1,920
1,080
22.49
30
14,496
female
white
en
20-29
73.4
1,920
1,080
78.01
30
14,497
male
white
en
20-29
33.8
3,840
2,160
21.06
24
14,498
male
white
en
30-39
23.8
1,920
1,080
44.43
30
14,499
male
white
en
20-29
24.4
3,840
2,160
35.02
60
14,500
male
white
en
20-29
14.3
3,840
2,160
21.12
60
14,501
male
white
en
50-59
21.6
1,920
1,080
66.04
24
14,502
male
white
en
50-59
7.6
1,920
1,080
24.54
24
14,503
male
white
en
50-59
13.8
1,920
1,080
42.79
24
14,504
male
white
en
50-59
40.1
3,840
2,160
20.82
30
14,505
male
white
en
50-59
66.3
3,840
2,160
33.27
30
14,506
male
white
en
50-59
83.3
3,840
2,160
34.63
30
14,507
male
white
en
50-59
67.4
3,840
2,160
42.28
30
14,508
male
white
en
50-59
67.1
3,840
2,160
38.74
30
14,509
male
white
en
50-59
78.5
3,840
2,160
37.54
30
14,510
male
white
en
50-59
89.4
3,840
2,160
24.49
30
14,511
male
white
en
50-59
36.7
3,840
2,160
21.32
30
14,512
female
white
en
20-29
10.2
1,920
1,080
22.79
30
14,513
male
white
en
20-29
19.1
3,840
2,160
25.28
24
14,514
male
white
en
20-29
14.9
3,840
2,160
20.23
24
14,515
male
white
en
40-49
384.2
3,840
2,160
163.92
25
14,516
male
asian
en
20-29
50.8
3,840
2,160
26.4
25
14,517
male
white
en
30-39
23.1
1,920
1,080
23.65
24
14,518
male
white
en
10-19
19.4
1,920
1,080
23.5
60
14,519
male
white
en
10-19
16.9
1,920
1,080
20.67
60
14,520
male
asian
en
20-29
14.2
1,920
1,080
31.9
60
14,521
male
black
en
20-29
155.4
3,840
2,160
59.43
30
14,522
male
black
en
20-29
151.2
3,840
2,160
59.2
30
14,523
male
black
en
20-29
84.8
3,840
2,160
30.1
30
14,524
male
black
en
20-29
111.1
3,840
2,160
36.8
30
14,525
male
indian
en
30-39
64.6
3,840
2,160
26.78
50
14,526
male
white
en
30-39
26.1
1,920
1,080
41.63
30
14,527
male
white
en
20-29
76.5
3,840
2,160
50.18
24