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
7,393
male
white
en
20-29
147.3
3,840
2,160
30.93
30
7,394
male
white
en
20-29
60
3,840
2,160
22.76
30
7,395
male
white
en
20-29
157.1
3,840
2,160
38.14
30
7,396
male
white
en
30-39
51.4
3,840
2,160
35.21
24
7,397
male
white
en
30-39
13.5
1,920
1,080
49.13
24
7,398
male
white
en
40-49
28.3
1,920
1,080
52.75
30
7,399
male
white
en
40-49
10.9
1,920
1,080
20.32
30
7,400
male
white
en
40-49
13.4
1,920
1,080
29.53
30
7,401
male
white
en
40-49
12.5
1,920
1,080
26.13
30
7,402
male
white
en
40-49
20.4
1,920
1,080
38.54
30
7,403
male
white
en
40-49
12.3
1,920
1,080
23.39
30
7,404
male
white
en
40-49
28.1
1,920
1,080
57.26
30
7,405
female
white
en
20-29
41.4
3,840
2,160
27.72
25
7,406
female
white
en
20-29
24.6
3,840
2,160
21.72
25
7,407
male
black
en
20-29
45.8
1,920
1,080
45.38
30
7,408
male
black
en
20-29
43.7
1,920
1,080
38.67
30
7,409
male
white
en
40-49
213
3,840
2,160
80.55
30
7,410
female
white
en
30-39
11.5
1,920
1,080
23.16
25
7,411
male
white
en
20-29
61
3,840
2,160
29.28
25
7,412
male
white
en
20-29
41.9
3,840
2,160
22.99
30
7,413
male
white
en
20-29
75.3
3,840
2,160
35.57
30
7,414
male
white
en
20-29
90.5
3,840
2,160
41.4
25
7,415
male
white
en
20-29
54.1
3,840
2,160
29.88
25
7,416
male
white
en
20-29
97.3
3,840
2,160
44.12
25
7,417
male
white
en
40-49
536.7
3,840
2,160
143.94
30
7,418
male
white
en
30-39
9.2
1,920
1,080
23.02
24
7,419
male
white
en
40-49
72.6
3,840
2,160
89.29
30
7,420
male
white
en
40-49
54.5
3,840
2,160
57.66
30
7,421
male
white
en
30-39
22.6
1,920
1,080
21.89
30
7,422
male
white
en
20-29
47.5
3,840
2,160
34.47
59.9
7,423
male
white
en
30-39
10.2
1,920
1,080
28.57
24
7,424
male
white
en
30-39
8.2
1,920
1,080
22.23
24
7,425
male
white
en
20-29
51.5
3,840
2,160
36.14
30
7,426
male
white
en
20-29
44.9
3,840
2,160
38.3
30
7,427
male
white
en
20-29
51.7
3,840
2,160
61.83
24
7,428
female
white
en
20-29
40.6
3,840
2,160
33.12
25
7,429
female
white
en
20-29
32
3,840
2,160
24.96
25
7,430
male
white
en
30-39
4.8
1,920
1,080
20.68
25
7,431
male
white
en
30-39
4.3
1,920
1,080
20.4
25
7,432
male
white
en
20-29
38.1
3,840
2,160
33.49
24
7,433
male
white
en
30-39
21.1
3,840
2,160
20.33
24
7,434
male
white
en
30-39
22.5
3,840
2,160
20.17
24
7,435
male
white
en
30-39
45.6
1,920
1,080
117.3
30
7,436
male
white
en
30-39
79.4
1,920
1,080
178.47
30
7,437
male
white
en
30-39
12.7
1,920
1,080
38.67
30
7,438
male
white
en
40-49
25.6
3,840
2,160
27.29
24
7,439
female
white
en
30-39
8.2
1,920
1,080
27.93
30
7,440
female
white
en
30-39
13.7
1,920
1,080
46.03
30
7,441
male
white
en
30-39
175
2,560
1,440
59.73
60
7,442
male
white
en
30-39
67.2
2,560
1,440
21.87
60
7,443
male
white
en
30-39
75.8
2,560
1,440
29.97
60
7,444
male
white
en
30-39
195.2
2,560
1,440
69.37
60
7,445
female
white
en
40-49
24.5
1,920
1,080
43.54
30
7,446
female
white
en
30-39
23.9
1,920
1,080
29.93
30
7,447
female
white
en
30-39
32.5
1,920
1,080
39.77
30
7,448
female
white
en
30-39
35.6
1,920
1,080
43.73
30
7,449
male
white
en
40-49
74.8
3,840
2,160
22.13
30
7,450
male
white
en
40-49
46
3,840
2,160
41.29
24
7,451
male
white
en
30-39
25.7
1,920
1,080
45.18
60
7,452
male
white
en
20-29
8.7
1,920
1,080
20.39
30
7,453
male
white
en
30-39
13.1
1,920
1,080
20.17
24
7,454
male
white
en
30-39
34
1,920
1,080
50.71
24
7,455
male
white
en
30-39
132.2
3,840
2,160
92.38
24
7,456
male
white
en
30-39
168.6
3,840
2,160
110.24
24
7,457
male
white
en
30-39
62.2
3,840
2,160
41.79
24
7,458
female
asian
en
20-29
66.7
3,840
2,160
32.53
30
7,459
female
asian
en
20-29
84.7
3,840
2,160
38.43
30
7,460
female
asian
en
20-29
67.2
3,840
2,160
32.93
30
7,461
female
asian
en
20-29
55.8
3,840
2,160
33.43
30
7,462
female
asian
en
20-29
58
3,840
2,160
25.83
30
7,463
female
asian
en
20-29
34
3,840
2,160
20.03
30
7,464
male
white
en
50-59
17.8
1,920
1,080
46.62
24
7,465
male
white
en
50-59
17
1,920
1,080
42.88
24
7,466
male
white
en
50-59
7.7
1,920
1,080
24.54
24
7,467
male
white
en
50-59
16.2
1,920
1,080
47.46
24
7,468
male
white
en
50-59
15
1,920
1,080
42.62
24
7,469
male
white
en
50-59
14.6
1,920
1,080
48.29
24
7,470
male
white
en
50-59
8.8
1,920
1,080
28.54
24
7,471
male
white
en
50-59
19.5
1,920
1,080
55.38
24
7,472
male
white
cy
50-59
43.4
3,840
2,160
42.24
25
9,740
female
asian
en
20-29
11.4
1,920
1,080
20.26
50
7,474
male
white
en
30-39
31.2
3,840
2,160
27.72
25
7,475
male
white
en
30-39
26.8
1,920
1,080
70
25
7,476
male
white
en
30-39
28.2
1,920
1,080
69.56
25
7,477
male
white
en
30-39
15.2
1,920
1,080
42.12
25
7,478
female
asian
en
20-29
43.8
1,920
1,080
97.8
30
7,479
male
white
en
30-39
60.3
3,840
2,160
29.04
24
7,480
male
black
en
20-29
51.1
3,840
2,160
31.78
24
7,481
male
white
en
30-39
39.8
3,840
2,160
32.3
30
7,482
male
white
en
30-39
98.9
3,840
2,160
87.05
30
7,483
male
white
en
30-39
32.6
3,840
2,160
21.12
30
7,484
male
white
en
30-39
31.2
3,840
2,160
22.32
30
7,485
male
white
en
30-39
26.7
3,840
2,160
22.24
25
7,486
male
white
en
30-39
31.6
3,840
2,160
24.24
25
7,487
male
white
en
30-39
49
3,840
2,160
41.32
25
7,488
male
white
en
30-39
36.4
3,840
2,160
24.19
30
7,489
male
white
en
30-39
37.6
3,840
2,160
25.99
30
7,490
male
white
en
30-39
49.7
3,840
2,160
32.6
30
7,491
male
white
en
30-39
32.9
3,840
2,160
20.82
30
7,492
female
white
en
20-29
15.1
1,920
1,080
22.92
25