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
12,409
male
white
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30-39
64
3,840
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35.24
30
12,410
male
white
en
30-39
64
3,840
2,160
25.93
30
12,411
male
white
en
30-39
54.8
3,840
2,160
21.79
30
12,412
male
white
en
20-29
40.1
1,920
1,080
82.68
30
12,413
male
white
en
20-29
11.9
1,920
1,080
24.89
30
12,414
male
white
en
20-29
14
1,920
1,080
28.63
30
12,415
male
white
en
20-29
35.9
1,920
1,080
66.33
30
12,416
male
white
en
20-29
18.9
1,920
1,080
40.04
30
12,417
male
white
en
30-39
103
3,840
2,160
80.4
25
12,418
male
white
en
30-39
57.3
3,840
2,160
45.64
25
12,419
male
white
en
30-39
50.4
3,840
2,160
39
25
12,420
male
white
en
30-39
28.6
3,840
2,160
22.92
25
12,421
male
white
en
30-39
45.5
3,840
2,160
39.6
25
12,422
female
white
en
20-29
59
3,840
2,160
26.08
25
12,423
female
white
en
20-29
104.9
3,840
2,160
49.44
25
12,424
female
white
en
20-29
136.7
3,840
2,160
63.36
25
12,425
female
white
en
20-29
129.9
3,840
2,160
61.8
25
12,426
male
white
en
30-39
28.5
3,840
2,160
20.65
24
12,427
male
white
en
30-39
50.6
3,840
2,160
37.29
24
12,428
male
white
en
30-39
35.1
3,840
2,160
22.98
24
12,429
male
white
en
30-39
57.2
3,840
2,160
37.83
24
12,430
male
white
en
30-39
35.7
3,840
2,160
23.27
24
12,431
male
white
en
30-39
58.2
3,840
2,160
41.17
24
12,432
female
asian
en
10-19
58
3,840
2,160
49.26
24
12,433
female
asian
en
10-19
24.8
3,840
2,160
20.73
24
12,434
female
asian
en
10-19
30.8
3,840
2,160
26.23
24
12,435
female
asian
en
10-19
33.4
3,840
2,160
22.48
24
12,436
female
asian
en
10-19
51.4
3,840
2,160
46.05
24
12,437
female
asian
en
10-19
33.4
3,840
2,160
31.07
24
12,438
female
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en
10-19
27.8
3,840
2,160
21.4
24
12,439
female
asian
en
10-19
70.6
3,840
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61.56
24
12,440
female
asian
en
10-19
43.1
3,840
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32.12
24
12,441
female
asian
en
10-19
39.6
3,840
2,160
40.62
24
12,442
male
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en
30-39
38.6
3,840
2,160
22.72
30
12,443
female
white
en
20-29
86.8
3,840
2,160
62.03
30
12,444
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white
en
20-29
51.3
3,840
2,160
37.8
30
12,445
female
white
en
20-29
73.3
3,840
2,160
51.45
30
12,446
female
white
en
20-29
42.7
3,840
2,160
26.53
30
12,447
female
white
en
20-29
89.9
3,840
2,160
58.66
30
12,448
female
white
en
20-29
99.2
3,840
2,160
67.23
30
12,449
male
white
en
20-29
71.2
1,920
1,080
66.2
30
12,450
female
white
en
20-29
32.2
3,840
2,160
22.36
24
12,451
female
white
en
20-29
34.5
3,840
2,160
25.48
24
12,452
male
white
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40-49
68.9
3,840
2,160
31.63
30
12,453
male
white
en
40-49
58.9
3,840
2,160
27.13
30
12,454
male
white
en
40-49
51.9
3,840
2,160
23.53
30
12,455
male
white
en
40-49
47.3
3,840
2,160
22.23
30
12,456
male
white
en
20-29
93.4
3,840
2,160
38.04
30
12,457
male
white
en
20-29
53.1
3,840
2,160
22.69
30
12,458
male
white
en
20-29
265.2
3,840
2,160
128.84
25
12,459
male
white
en
20-29
48.1
3,840
2,160
20.27
24
12,460
male
white
en
20-29
64.7
3,840
2,160
28.86
24
12,461
male
white
en
20-29
30.4
3,840
2,160
22.98
24
12,462
male
white
en
20-29
58
3,840
2,160
47.3
24
12,463
male
white
en
20-29
106.7
3,840
2,160
76.08
24
12,464
male
white
en
20-29
35.1
3,840
2,160
25.15
24
12,465
male
white
en
20-29
49.1
3,840
2,160
35.66
24
12,466
male
white
en
20-29
22.4
1,920
1,080
45.55
30
12,467
male
white
en
20-29
21.5
1,920
1,080
21
25
12,468
male
white
en
20-29
19.4
1,920
1,080
24.12
25
12,469
male
white
en
20-29
11.1
1,920
1,080
22.08
25
12,470
male
white
en
20-29
39.9
1,920
1,080
39.84
25
12,471
female
asian
en
20-29
43.1
3,840
2,160
22.29
30
12,472
female
asian
en
20-29
49.6
3,840
2,160
22.86
30
12,473
male
white
en
40-49
42.5
3,840
2,160
21.79
30
12,474
male
white
en
30-39
36.4
3,840
2,160
21.27
59.9
12,475
male
white
en
30-39
41.1
3,840
2,160
27.74
24
12,476
male
black
en
40-49
7.9
1,920
1,080
22.03
30
12,477
male
black
en
20-29
45.8
3,840
2,160
20.4
25
12,478
male
black
en
20-29
47.8
3,840
2,160
27.36
25
12,479
male
white
en
20-29
36.8
3,840
2,160
20.72
50
12,480
female
asian
en
20-29
12.1
1,920
1,080
41.2
25
12,481
female
asian
en
20-29
10.8
1,920
1,080
30.96
25
12,482
male
white
en
20-29
33.4
1,920
1,080
63.9
30
12,483
male
white
en
20-29
10.2
1,920
1,080
20.19
30
12,484
male
white
en
20-29
29.2
1,920
1,080
57.66
30
12,485
male
white
en
20-29
11.8
1,920
1,080
21.39
30
12,486
female
white
en
30-39
85.9
3,840
2,160
38.29
24
12,487
female
white
en
30-39
65
3,840
2,160
28.92
24
12,488
female
black
en
30-39
44.9
3,840
2,160
26.9
24
12,489
male
white
en
20-29
25.5
1,920
1,080
51.84
25
12,490
male
asian
en
30-39
14.6
1,920
1,080
29.63
30
12,491
male
white
en
30-39
8.8
1,920
1,080
21.32
30
12,492
male
white
en
30-39
90.3
3,840
2,160
48.96
25
12,493
male
white
en
20-29
52.9
3,840
2,160
25.69
24
12,494
male
white
en
20-29
72.1
3,840
2,160
37.45
24
12,495
female
white
en
20-29
44.6
3,840
2,160
25.68
25
12,496
male
white
en
30-39
28.3
1,920
1,080
45.61
30
12,497
female
white
en
20-29
56.4
3,840
2,160
27.08
25
12,498
female
white
en
20-29
180.4
3,840
2,160
87.96
25
12,499
male
white
en
30-39
78.1
3,840
2,160
42.79
24
12,500
male
white
en
40-49
129.7
3,840
2,160
60.44
24
12,501
male
white
en
40-49
58.6
3,840
2,160
24.9
24
12,502
male
white
en
40-49
69.4
3,840
2,160
29.78
24
12,503
male
white
en
30-39
61.9
1,920
1,080
162.06
30
12,504
male
white
en
30-39
117.3
3,840
2,160
92.68
24
12,505
male
white
en
30-39
54.8
3,840
2,160
45.71
24
12,506
male
white
en
30-39
31
3,840
2,160
25.11
24
12,507
male
white
en
30-39
33.6
3,840
2,160
28.28
24
12,508
male
white
en
30-39
30.9
3,840
2,160
21.48
24