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
9,292
male
white
en
40-49
64.7
3,840
2,160
34.63
30
9,293
male
white
en
40-49
55.7
3,840
2,160
30.53
30
9,294
male
white
en
30-39
29.7
3,840
2,160
22.36
24
9,295
male
white
en
30-39
34.6
3,840
2,160
26.15
24
9,296
male
white
en
30-39
40.5
3,840
2,160
34.12
24
9,297
male
white
en
30-39
115.8
3,840
2,160
93.47
24
9,298
male
white
en
30-39
106.1
3,840
2,160
85.71
24
9,299
female
asian
en
20-29
13.4
3,840
2,160
25.48
24
9,300
female
black
en
20-29
35.4
1,920
1,080
88.3
30
9,301
female
black
en
20-29
12.8
1,920
1,080
29.77
30
9,302
female
black
en
20-29
16.6
1,920
1,080
42.77
30
9,303
female
black
en
20-29
25.3
1,920
1,080
59.43
30
9,304
female
black
en
20-29
17.7
1,920
1,080
45.97
30
9,305
female
black
en
20-29
15.7
1,920
1,080
41.13
30
9,306
female
black
en
20-29
9.4
1,920
1,080
22.77
30
9,307
female
white
en
20-29
68.7
3,840
2,160
20.94
24
9,308
female
white
en
20-29
46.8
3,840
2,160
23.65
24
9,309
male
white
en
30-39
40.1
3,840
2,160
22.33
30
9,310
male
white
en
30-39
33.7
3,840
2,160
20.33
30
9,311
male
white
en
30-39
62.8
3,840
2,160
35.83
30
9,312
female
white
en
10-19
23.7
1,920
1,080
46.92
25
9,313
female
white
en
10-19
14.8
1,920
1,080
30.32
25
9,314
female
white
en
10-19
15.2
1,920
1,080
24.68
25
9,315
male
white
en
20-29
20.7
1,920
1,080
41.63
30
9,316
male
white
en
50-59
27.4
3,840
2,160
20.67
24
9,317
male
black
en
30-39
66.2
3,840
2,160
30.92
24
9,318
male
black
en
30-39
230
3,840
2,160
109.46
24
9,319
male
black
en
30-39
72
3,840
2,160
37
24
9,320
male
asian
en
30-39
52.2
3,840
2,160
25.61
24
9,321
male
white
en
20-29
57.6
3,840
2,160
26.16
25
9,322
male
white
en
20-29
18.5
3,840
2,160
22.86
24
9,323
male
white
en
20-29
17.6
3,840
2,160
22.81
24
9,324
female
black
en
30-39
10.6
1,920
1,080
20.27
30
9,325
female
black
en
30-39
11.3
1,920
1,080
21.93
30
9,326
male
white
en
30-39
63.7
3,840
2,160
31.03
30
9,327
male
white
en
20-29
65.4
3,840
2,160
33.4
30
9,328
female
white
en
20-29
46.5
1,920
1,080
73.52
59.9
9,329
female
white
en
20-29
33.4
1,920
1,080
52.22
59.9
9,330
female
white
en
20-29
38.4
1,920
1,080
47.63
59.9
9,331
female
white
en
20-29
37.6
1,920
1,080
54.59
59.9
9,332
female
white
en
20-29
28.6
1,920
1,080
39.99
59.9
9,333
male
white
en
40-49
45.5
3,840
2,160
31.53
30
9,334
male
white
en
40-49
39.2
3,840
2,160
29.13
30
9,335
female
white
en
20-29
45.1
3,840
2,160
20.45
30
9,336
female
white
en
20-29
71.7
3,840
2,160
29.63
30
9,337
female
white
en
20-29
62.8
3,840
2,160
28.19
30
9,338
female
white
en
20-29
58.2
3,840
2,160
25.16
30
9,339
female
white
en
20-29
50.1
3,840
2,160
21.29
30
9,340
female
white
en
20-29
73.4
3,840
2,160
27.99
30
9,341
female
white
en
20-29
70.8
3,840
2,160
27.53
30
9,342
female
white
en
20-29
84.1
3,840
2,160
31.53
30
9,343
female
white
en
20-29
58.8
3,840
2,160
22.92
30
9,344
female
asian
en
20-29
48.3
3,840
2,160
31.53
30
9,345
female
asian
en
20-29
77.3
3,840
2,160
46.03
30
9,346
female
asian
en
20-29
76.4
3,840
2,160
46.13
30
9,347
female
asian
en
20-29
39.1
3,840
2,160
22.73
30
9,348
female
white
en
30-39
77.9
3,840
2,160
28.13
30
9,349
female
white
en
30-39
118.1
3,840
2,160
44.23
30
9,350
male
black
en
30-39
17.2
1,920
1,080
29.4
24
9,351
male
white
en
20-29
32.9
3,840
2,160
23.76
25
9,352
male
white
en
30-39
45.3
3,840
2,160
23.11
24
9,353
male
white
en
30-39
52.1
3,840
2,160
25.11
24
9,354
male
white
en
20-29
47.1
3,840
2,160
24.67
30
9,355
male
white
en
20-29
59.4
3,840
2,160
29.67
30
9,356
male
white
en
20-29
57.2
3,840
2,160
31.4
30
9,357
male
white
en
20-29
53.1
3,840
2,160
29.97
30
9,358
male
white
en
20-29
5.7
1,920
1,080
20.95
30
9,359
male
white
en
20-29
7.2
1,920
1,080
25.69
30
9,360
male
white
en
20-29
7.2
1,920
1,080
30
30
9,361
male
white
en
20-29
5.7
1,920
1,080
22.29
30
9,362
male
white
en
20-29
5
1,920
1,080
20.59
30
9,363
female
white
en
20-29
30.1
1,920
1,080
108.12
25
9,364
male
white
en
30-39
6.8
1,920
1,080
21.22
60
9,365
male
white
en
30-39
104
3,840
2,160
45.53
59.9
9,366
female
asian
en
20-29
17.7
1,920
1,080
57.77
24
9,367
female
asian
en
20-29
7.6
1,920
1,080
25.23
24
9,368
female
asian
en
20-29
6.8
1,920
1,080
24.52
24
9,369
female
asian
en
20-29
22.7
1,920
1,080
78.79
24
9,370
female
white
en
20-29
30.3
1,920
1,080
37.8
25
9,371
male
white
en
40-49
76.2
3,840
2,160
21.97
30
9,372
male
white
en
40-49
70.2
3,840
2,160
21.47
30
9,373
male
black
en
30-39
39.2
3,840
2,160
22.11
24
9,374
male
black
en
30-39
54
3,840
2,160
30.41
24
9,375
male
black
en
30-39
84.5
3,840
2,160
44.13
24
9,376
male
black
en
30-39
264.1
3,840
2,160
142.48
24
9,377
male
black
en
30-39
74.3
3,840
2,160
43.04
24
9,378
female
asian
en
30-39
37.3
3,840
2,160
38.2
24
9,379
male
white
en
30-39
35.6
3,840
2,160
20.82
30
9,380
male
white
en
20-29
21.8
3,840
2,160
21.35
24
9,381
male
white
en
20-29
41.5
3,840
2,160
43.38
24
9,382
male
white
en
20-29
20.3
3,840
2,160
20.35
24
9,383
male
white
en
20-29
56
3,840
2,160
55.89
24
9,384
male
white
en
20-29
35
3,840
2,160
36.66
24
9,385
male
white
en
20-29
58.5
3,840
2,160
58.77
24
9,386
female
white
en
30-39
7.3
1,920
1,080
21.73
30
9,387
female
white
en
30-39
34.7
1,920
1,080
105.37
30
9,388
female
white
en
30-39
23.6
1,920
1,080
80.53
30
9,485
male
white
en
40-49
30
3,840
2,160
35.43
30
9,389
female
white
en
30-39
27.8
1,920
1,080
78.73
30
9,390
male
white
en
30-39
21.1
3,840
2,160
21.77
24