Datasets:
MarioPD
/
THVD

Dataset card Data Studio Files
xet
 Community
2
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
15,432
male
white
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30-39
32.8
3,840
2,160
21.9
24
15,433
male
white
en
30-39
59.9
3,840
2,160
39.37
24
15,434
male
white
en
30-39
39.1
3,840
2,160
26.99
24
15,435
male
white
en
20-29
35.7
3,840
2,160
20.92
24
15,436
male
white
en
20-29
33.4
3,840
2,160
22.04
24
15,437
male
white
en
20-29
38.9
3,840
2,160
34.42
24
15,438
male
white
en
30-39
37.3
3,840
2,160
34.37
24
15,439
male
white
en
30-39
25.7
3,840
2,160
24.77
24
15,440
male
white
en
30-39
22.4
3,840
2,160
20.6
24
15,441
male
white
en
20-29
11
1,920
1,080
32.4
30
15,442
male
white
en
20-29
11.7
1,920
1,080
36.8
30
15,443
male
white
en
20-29
6.9
1,920
1,080
21.55
30
15,444
male
white
en
20-29
7.7
1,920
1,080
27.09
30
15,445
male
white
en
20-29
51.6
1,920
1,080
157.92
30
15,446
male
black
af
20-29
6.2
1,920
1,080
22.52
24
15,447
male
black
af
20-29
8.7
1,920
1,080
32.87
24
15,448
male
black
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20-29
10.8
1,920
1,080
42.04
24
15,449
male
black
af
20-29
4.9
1,920
1,080
20.48
24
15,450
male
black
af
20-29
6.3
1,920
1,080
26.78
24
15,451
male
black
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20-29
10.2
1,920
1,080
41
24
15,452
male
black
af
20-29
6.2
1,920
1,080
23.52
24
15,453
male
black
af
20-29
7.8
1,920
1,080
25.02
24
15,454
female
black
en
20-29
23
3,840
2,160
23.76
25
15,455
female
black
en
20-29
38
3,840
2,160
39.36
25
15,456
female
black
en
20-29
116
3,840
2,160
123.84
25
15,457
female
black
en
20-29
107.3
3,840
2,160
109.56
25
15,458
male
white
en
40-49
32.5
3,840
2,160
20.63
30
15,459
male
white
en
40-49
20.3
3,840
2,160
22.53
30
15,460
female
white
en
20-29
47.2
3,840
2,160
25.15
24
15,461
male
white
en
30-39
73.5
3,840
2,160
44.44
30
15,462
male
asian
en
20-29
33.7
1,920
1,080
77.54
24
15,463
male
asian
en
20-29
39.3
1,920
1,080
74.42
24
15,464
male
asian
en
20-29
23.5
1,920
1,080
45.17
24
15,465
male
asian
en
30-39
51.5
3,840
2,160
22.15
24
15,466
male
asian
en
30-39
71.9
3,840
2,160
34.45
24
15,467
male
asian
en
30-39
71.9
3,840
2,160
34.2
24
15,468
male
asian
en
30-39
210.3
3,840
2,160
104.81
24
15,469
male
white
en
30-39
6.4
1,920
1,080
20.65
24
15,470
male
white
en
30-39
36.1
3,840
2,160
23.89
30
15,471
female
white
en
20-29
54.6
3,840
2,160
20.77
30
15,472
male
white
en
30-39
47.5
3,840
2,160
36.72
25
15,473
male
black
en
30-39
75.7
3,840
2,160
23.77
59.9
15,474
male
white
en
20-29
140.8
3,840
2,160
23.21
59.9
15,475
male
white
en
30-39
32.4
1,920
1,080
63.17
30
15,476
male
white
en
30-39
90.2
1,920
1,080
178.27
30
15,477
male
white
en
30-39
10.8
1,920
1,080
21
30
15,478
male
white
en
50-59
85.6
3,840
2,160
37.33
24
15,479
male
white
en
50-59
200.3
3,840
2,160
97.64
24
15,480
male
white
en
50-59
59
3,840
2,160
24.9
24
15,481
male
white
en
50-59
68.5
3,840
2,160
27.86
24
15,482
male
white
en
50-59
134.3
3,840
2,160
57.81
24
15,483
male
white
en
20-29
9
1,920
1,080
21.22
30
15,484
male
white
en
20-29
21.3
1,920
1,080
51.62
30
15,485
male
white
en
20-29
15.3
1,920
1,080
33.7
30
15,486
male
white
en
50-59
69.8
1,920
1,080
130.6
30
15,487
male
black
en
20-29
81.9
3,840
2,160
44.67
24
15,488
male
black
en
20-29
37.5
3,840
2,160
21.77
24
15,489
male
white
en
40-49
75.5
3,840
2,160
32.03
30
15,490
male
white
en
40-49
70.7
3,840
2,160
33.47
30
15,491
male
white
en
40-49
115.7
3,840
2,160
53.25
30
15,492
male
asian
en
20-29
115.2
2,560
1,440
84.93
30
15,493
male
asian
en
20-29
151.7
2,560
1,440
109.43
30
15,494
male
asian
en
20-29
108.9
2,560
1,440
91.03
30
15,495
male
asian
en
20-29
61.9
2,560
1,440
58.13
30
15,496
male
asian
en
30-39
17.3
1,920
1,080
64.36
25
15,497
male
asian
en
30-39
11.9
1,920
1,080
47.28
25
15,498
male
white
en
30-39
36.2
3,840
2,160
30.78
24
15,499
male
white
en
30-39
104.4
3,840
2,160
80.62
24
15,500
male
white
en
30-39
54.8
3,840
2,160
36.12
24
15,501
male
white
en
30-39
81.2
3,840
2,160
53.51
24
15,502
female
white
en
30-39
47.2
2,560
1,440
43.43
59.9
15,503
female
white
en
30-39
26.1
2,560
1,440
25.98
59.9
15,504
female
white
en
30-39
21.9
2,560
1,440
20.84
59.9
15,505
female
white
en
30-39
24.8
2,560
1,440
26.46
59.9
15,506
male
black
en
20-29
28.7
3,840
2,160
20.85
24
15,507
male
white
en
30-39
49
3,840
2,160
26.57
24
15,508
female
white
en
20-29
83.2
1,920
1,080
177.24
30
15,509
female
white
en
20-29
23.5
1,920
1,080
43.28
30
15,510
female
white
en
20-29
24.4
1,920
1,080
47.88
30
15,511
female
white
en
20-29
40.2
1,920
1,080
74.14
30
15,512
male
white
en
30-39
11.1
1,214
2,160
20.75
30
15,513
male
white
en
30-39
8.6
1,920
1,080
26.63
30
15,514
male
asian
en
30-39
355.7
3,840
2,160
78.12
60
15,515
male
asian
en
30-39
181.2
3,840
2,160
41.67
60
15,516
female
white
en
20-29
15.8
1,920
1,080
22.01
59.9
15,517
female
white
en
20-29
13.7
1,920
1,080
22.47
59.9
15,518
female
white
en
20-29
25.2
1,920
1,080
37.47
59.9
15,519
male
asian
en
20-29
23.7
3,840
2,160
27.4
24
15,520
male
asian
en
20-29
22.6
3,840
2,160
30.11
24
15,521
male
asian
en
20-29
42.1
3,840
2,160
52.89
24
15,522
male
asian
en
20-29
34.4
3,840
2,160
35.91
24
15,523
female
white
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50-59
41.6
3,840
2,160
28.68
25
15,524
female
white
cy
50-59
89.4
3,840
2,160
53.28
25
15,525
male
white
en
30-39
85
3,840
2,160
42.94
30
15,526
male
black
en
20-29
54.6
3,840
2,160
50.92
24
15,527
male
white
en
30-39
8.9
1,920
1,080
20.56
24
15,528
male
white
en
20-29
67.8
3,840
2,160
34.42
24
15,529
male
white
en
20-29
131.3
3,840
2,160
73.25
24
15,530
male
white
en
20-29
61.2
3,840
2,160
34
24
15,531
male
black
en
30-39
15.8
1,920
1,080
26.9
24