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
15,332
male
white
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30-39
64.9
3,840
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26.94
24
15,333
male
white
en
30-39
152.6
3,840
2,160
62.06
24
15,334
male
white
en
30-39
124.4
3,840
2,160
52.01
24
15,335
male
white
en
40-49
60.3
3,840
2,160
45.48
25
15,336
male
white
en
40-49
25.6
3,840
2,160
21
25
15,337
male
white
en
40-49
34.8
3,840
2,160
26.44
25
15,338
male
white
en
30-39
58.1
3,840
2,160
21.49
30
15,339
male
white
en
30-39
79
3,840
2,160
29.9
30
15,340
male
white
en
30-39
52.5
3,840
2,160
20.95
30
15,341
male
white
en
30-39
26.6
3,840
2,160
21.48
24
15,342
male
white
en
30-39
56.5
3,840
2,160
51.68
24
15,343
male
white
en
40-49
23.7
3,840
2,160
21.73
24
15,344
male
white
en
30-39
38
3,840
2,160
21.52
24
15,345
male
white
en
30-39
53.8
3,840
2,160
37.2
24
15,346
male
white
en
30-39
42.2
3,840
2,160
27.49
24
15,347
male
white
en
30-39
32.1
3,840
2,160
24.48
24
15,348
male
white
en
30-39
36.6
3,840
2,160
24.4
24
15,349
male
asian
en
20-29
65.2
3,840
2,160
29.61
24
15,350
male
white
en
40-49
59.1
3,840
2,160
40.17
24
15,351
male
white
en
40-49
31.9
3,840
2,160
22.86
24
15,352
male
white
en
40-49
48.4
3,840
2,160
35.79
24
15,353
male
asian
en
20-29
43.5
3,840
2,160
27.61
24
15,354
male
white
en
20-29
56
3,840
2,160
32.64
25
15,355
male
white
en
20-29
57.1
3,840
2,160
32.52
25
15,356
male
white
en
20-29
62.8
3,840
2,160
35.16
25
15,357
male
white
en
20-29
44.3
3,840
2,160
23.76
25
15,358
male
white
en
20-29
37
3,840
2,160
21.48
25
15,359
male
white
en
20-29
46
3,840
2,160
26.08
25
15,360
male
white
en
20-29
44.6
3,840
2,160
25
25
15,361
male
white
en
20-29
61
3,840
2,160
30.36
25
15,362
female
asian
en
20-29
27.6
1,920
1,080
62.83
30
15,363
female
asian
en
20-29
13.5
1,920
1,080
30.26
30
15,364
female
asian
en
20-29
17.3
1,920
1,080
37.67
30
15,365
female
asian
en
20-29
30.9
1,920
1,080
83.62
30
15,366
female
asian
en
20-29
8.1
1,920
1,080
23.26
30
15,367
female
asian
en
20-29
12.1
1,920
1,080
28.29
30
15,368
male
white
en
40-49
62.9
3,840
2,160
27.63
59.9
15,369
male
white
en
40-49
96.2
3,840
2,160
46.3
59.9
15,370
male
white
en
40-49
92.7
3,840
2,160
43.41
59.9
15,371
male
white
en
40-49
170
3,840
2,160
103.74
59.9
15,372
male
white
en
40-49
58.3
3,840
2,160
30.68
59.9
15,373
male
white
en
30-39
14.5
1,920
1,080
27.36
25
15,374
male
white
en
30-39
18.1
1,920
1,080
32.96
25
15,375
male
white
en
30-39
11.4
1,920
1,080
24.36
25
15,376
male
white
en
30-39
13.3
1,920
1,080
23
25
15,377
female
white
en
20-29
40.8
1,920
1,080
44.39
59.9
15,378
female
white
en
20-29
32.8
1,920
1,080
36.09
59.9
15,379
male
white
en
30-39
25.5
3,840
2,160
23.48
24
15,380
male
white
en
30-39
27.4
3,840
2,160
25.61
24
15,381
male
white
en
30-39
69
3,840
2,160
45.84
24
15,382
male
white
en
30-39
130.3
3,840
2,160
110.69
24
15,383
male
white
en
50-59
12.9
1,920
1,080
42.48
25
15,384
male
white
en
30-39
42.5
3,840
2,160
21.65
24
15,385
male
white
en
30-39
115.1
3,840
2,160
60.27
24
15,386
male
asian
en
30-39
18.1
3,840
2,160
22.2
30
15,387
male
black
en
30-39
39.5
3,840
2,160
35.17
24
15,388
male
black
en
30-39
38.4
3,840
2,160
34.54
24
15,389
male
black
en
30-39
33.6
3,840
2,160
32.42
24
15,390
male
black
en
30-39
36.1
3,840
2,160
29
24
15,391
male
asian
en
20-29
65.9
3,840
2,160
50.53
30
15,392
male
asian
en
20-29
34.1
3,840
2,160
20.83
30
15,393
male
white
en
30-39
51.8
3,840
2,160
36.84
25
15,394
male
white
en
30-39
123.4
3,840
2,160
89.28
25
15,395
female
white
en
20-29
17.7
1,920
1,080
22.62
30
15,396
female
white
en
20-29
14.5
1,920
1,080
25.02
30
15,397
female
white
en
20-29
16.9
1,920
1,080
23.06
30
15,398
female
white
en
20-29
19.5
1,920
1,080
31
30
15,399
female
white
en
20-29
16.6
1,920
1,080
25.63
30
15,400
female
white
en
20-29
17.1
1,920
1,080
27.09
30
15,401
male
white
en
20-29
29
1,920
1,080
34.72
60
15,402
male
black
en
30-39
45.3
3,840
2,160
24.23
30
15,403
female
white
en
20-29
70
3,840
2,160
41.56
25
15,404
male
white
en
40-49
40.7
3,840
2,160
23.36
24
15,405
male
white
en
40-49
200.8
3,840
2,160
140.64
24
15,406
male
white
en
40-49
90.4
3,840
2,160
71.28
24
15,407
male
white
en
40-49
53
3,840
2,160
30.49
24
15,408
male
white
en
30-39
24.3
3,840
2,160
22.23
24
15,409
male
white
en
30-39
51.8
3,840
2,160
41.33
24
15,410
male
white
en
30-39
150.2
3,840
2,160
124.33
24
15,411
male
white
en
30-39
75.9
3,840
2,160
58.81
24
15,412
male
white
en
40-49
106.4
3,840
2,160
23.12
30
15,413
male
white
en
40-49
116.2
3,840
2,160
22.59
30
15,414
male
white
en
40-49
120.9
3,840
2,160
23.22
30
15,415
male
white
en
40-49
90.4
3,840
2,160
20.52
30
15,416
male
white
en
40-49
109.2
3,840
2,160
28.06
30
15,417
female
asian
en
20-29
40.4
3,840
2,160
25.04
24
15,418
female
asian
en
20-29
51.5
3,840
2,160
32.92
24
15,419
female
asian
en
20-29
47.6
3,840
2,160
29.17
24
15,420
female
asian
en
20-29
44.9
3,840
2,160
29.92
24
15,421
female
asian
en
20-29
33.9
3,840
2,160
22.67
24
15,422
female
asian
en
20-29
33.4
3,840
2,160
21.54
24
15,423
female
asian
en
20-29
73.8
3,840
2,160
46.17
24
15,424
male
white
en
30-39
110.9
3,840
2,160
51.45
30
15,425
male
white
en
50-59
6.5
1,920
1,080
24.87
60
15,426
male
white
en
30-39
76.3
1,920
1,080
178.58
30
15,427
male
white
en
30-39
51.4
3,840
2,160
36.04
30
15,428
male
white
en
30-39
31.4
3,840
2,160
20.9
24
15,429
male
white
en
30-39
49.1
3,840
2,160
34.53
24
15,430
female
black
en
20-29
141.4
1,920
1,080
178.48
25
15,431
male
white
en
20-29
28.6
3,840
2,160
24.69
30