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
8,393
male
white
en
30-39
76.1
1,920
1,080
135.17
24
8,394
male
white
en
30-39
30.6
1,920
1,080
24
25
8,395
male
white
en
30-39
13.8
1,920
1,080
22.2
25
8,396
female
white
en
20-29
58.9
3,840
2,160
28.86
24
8,397
female
white
en
20-29
31.1
3,840
2,160
23.06
24
8,398
female
white
en
20-29
55
3,840
2,160
24.86
24
8,399
female
white
en
20-29
44.9
3,840
2,160
21.19
24
8,400
male
asian
en
3-9
36
2,560
1,080
47.88
24
8,401
male
asian
en
3-9
23.9
2,560
1,080
38
24
8,402
male
asian
en
3-9
21
2,560
1,080
28.24
24
8,403
male
asian
en
3-9
16
2,560
1,080
25.61
24
8,404
female
white
en
20-29
37.6
3,840
2,160
20.62
30
8,405
female
white
en
20-29
38.8
3,840
2,160
22.62
30
8,406
female
white
en
20-29
434.1
3,840
2,160
167.08
59.9
8,407
female
white
en
20-29
63.1
3,840
2,160
23.12
30
8,408
female
white
en
20-29
57.3
3,840
2,160
22.12
30
8,409
female
white
en
20-29
63.6
3,840
2,160
24.29
30
8,410
female
white
en
20-29
62.7
3,840
2,160
23.19
30
8,411
female
white
en
20-29
58.9
3,840
2,160
20.92
30
8,412
female
white
en
30-39
53.5
3,840
2,160
33.62
24
8,413
female
white
en
30-39
91.8
3,840
2,160
49.76
24
8,414
female
white
en
30-39
55.8
3,840
2,160
30.36
24
8,415
female
white
en
30-39
74.3
3,840
2,160
40.58
24
8,416
male
white
en
40-49
15.6
1,920
1,080
23.89
30
8,417
male
asian
en
30-39
24.1
1,920
1,080
49.42
24
8,418
male
asian
en
30-39
40.6
1,920
1,080
80.29
24
8,419
male
asian
en
30-39
41.8
1,920
1,080
78.92
24
8,420
male
asian
en
30-39
15.3
1,920
1,080
28.92
24
8,421
male
white
en
40-49
61.2
3,840
2,160
30.83
59.9
8,422
male
white
en
40-49
110.9
3,840
2,160
58.81
59.9
8,423
male
white
en
30-39
105
3,840
2,160
80.96
24
8,424
male
white
en
30-39
141.2
3,840
2,160
106.86
24
8,425
male
white
en
30-39
92.5
3,840
2,160
66.19
24
8,426
female
asian
en
20-29
62.1
1,920
1,080
123.42
30
8,427
female
asian
en
20-29
47
1,920
1,080
98.1
30
8,428
male
white
en
20-29
23.1
3,840
2,160
22.08
25
8,429
female
white
en
30-39
75
3,840
2,160
43.56
25
8,430
female
white
en
30-39
130.5
3,840
2,160
80.04
25
8,431
male
white
en
50-59
33.6
3,840
2,160
21.86
24
8,432
male
white
en
50-59
62.1
3,840
2,160
35.95
24
8,433
male
white
en
50-59
38
3,840
2,160
21.15
24
8,434
male
white
en
30-39
20.4
3,840
2,160
22.29
30
8,435
female
white
en
40-49
12.1
1,920
1,080
31.5
30
8,436
male
white
en
30-39
63.4
3,840
2,160
28.9
24
8,437
male
white
en
30-39
41
3,840
2,160
20.23
24
8,438
male
white
en
30-39
47.3
3,840
2,160
22.11
24
8,439
male
white
en
20-29
97.2
3,840
2,160
43.67
24
8,440
male
white
en
30-39
7.6
1,920
1,080
30.16
24
8,441
male
white
en
30-39
5.3
1,920
1,080
20.85
24
8,442
male
white
en
30-39
5.5
1,920
1,080
22.73
24
8,443
male
white
en
30-39
9.9
1,920
1,080
37.41
24
8,444
male
white
en
30-39
7
1,920
1,080
27.78
24
8,445
male
white
en
30-39
7.6
1,920
1,080
30.53
24
8,446
male
white
en
30-39
5.8
1,920
1,080
22.27
24
8,447
male
white
en
30-39
36.3
3,840
2,160
30.83
30
8,448
male
white
en
30-39
31.8
3,840
2,160
25.33
30
8,449
female
black
en
20-29
41.1
3,840
2,160
25.73
24
8,450
female
black
en
20-29
49.4
3,840
2,160
31.53
24
8,451
female
black
en
20-29
47.8
3,840
2,160
33.16
24
8,452
male
white
en
30-39
6.9
1,920
1,080
20.85
24
8,453
male
white
en
30-39
12.1
1,920
1,080
33.66
24
8,454
male
white
en
30-39
7.8
1,920
1,080
21.98
24
8,455
male
white
en
30-39
12.5
1,920
1,080
33.03
24
8,456
male
white
en
30-39
22.5
1,920
1,080
59.18
24
8,457
male
white
en
30-39
14.3
1,920
1,080
39
24
8,458
male
white
en
30-39
15.8
1,920
1,080
45.67
24
8,459
male
white
en
20-29
84.4
3,840
2,160
29.7
24
8,460
male
white
en
20-29
53.1
3,840
2,160
21.06
24
8,461
male
white
en
20-29
49.6
3,840
2,160
22.36
24
8,462
male
white
en
30-39
66.7
3,840
2,160
37.44
25
8,463
male
white
en
30-39
263.3
3,840
2,160
141.24
25
8,464
male
white
en
30-39
93.7
3,840
2,160
52.44
25
8,465
female
asian
en
30-39
18.4
1,920
1,080
26.9
30
8,466
male
white
en
30-39
14
1,920
1,080
30.73
30
8,467
male
white
en
30-39
10
1,920
1,080
21.8
30
8,468
male
white
en
30-39
14.1
1,920
1,080
29.07
30
8,469
male
asian
en
10-19
53.7
1,920
1,080
131.73
30
8,470
male
white
en
30-39
15.2
1,920
1,080
32.88
25
8,471
male
white
en
50-59
68
1,920
1,080
162.16
30
8,472
male
white
en
50-59
21.4
1,920
1,080
53.12
30
8,473
male
white
en
50-59
57.9
1,920
1,080
150.55
30
8,474
male
white
en
50-59
8.8
1,920
1,080
20.75
30
8,475
male
white
en
50-59
16.3
1,920
1,080
41.81
30
8,476
male
white
en
50-59
12.9
1,920
1,080
32.33
30
8,477
female
white
en
30-39
27.3
3,840
2,160
21.35
24
8,478
female
white
en
30-39
36
3,840
2,160
28.61
24
8,479
male
white
en
30-39
12.8
1,920
1,080
23.17
28.8
8,480
male
black
en
40-49
19.8
1,920
1,080
22.15
24
8,481
male
black
en
40-49
22.6
1,920
1,080
25.53
24
8,482
male
black
en
40-49
29.1
1,920
1,080
32.28
24
8,483
male
white
en
40-49
35.4
2,560
1,440
55.43
24
8,484
male
white
en
40-49
21.6
2,560
1,440
33.12
24
8,485
male
white
en
30-39
59.8
3,840
2,160
32.23
30
8,486
male
white
en
30-39
39.1
3,840
2,160
21.82
30
8,487
male
white
en
20-29
46
3,840
2,160
23.65
24
8,488
female
white
en
20-29
75.3
3,840
2,160
40.82
60
8,489
female
white
en
20-29
85.7
3,840
2,160
48.62
60
8,490
female
white
en
20-29
48.4
3,840
2,160
28.77
60
8,491
female
white
en
20-29
163.1
3,840
2,160
94.77
60
8,492
female
white
en
20-29
245.2
3,840
2,160
146.82
60