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
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float64
9.2
179
fps
float64
10
60
18,368
male
white
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50-59
42.2
3,840
2,160
23.16
25
18,369
male
white
en
50-59
69.8
3,840
2,160
80.4
25
18,370
male
white
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30-39
40.9
3,840
2,160
25.93
30
18,371
male
white
it
30-39
47.8
3,840
2,160
29.43
30
18,372
male
black
en
30-39
49.7
3,840
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22.81
24
18,373
male
black
en
30-39
46
3,840
2,160
21.02
24
18,374
male
white
en
20-29
110.2
3,840
2,160
59.64
25
18,375
male
white
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20-29
172.6
3,840
2,160
91.68
25
18,376
male
white
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20-29
90.2
3,840
2,160
48.72
25
18,377
male
white
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20-29
124
3,840
2,160
66.6
25
18,378
male
white
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20-29
43.6
3,840
2,160
24.72
25
18,379
male
white
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20-29
128.6
3,840
2,160
64.92
25
18,380
male
white
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50-59
32.5
3,840
2,160
21.82
60
18,381
male
white
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50-59
51.1
3,840
2,160
37.12
60
18,382
male
white
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50-59
29.4
3,840
2,160
20.27
60
18,383
male
white
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20-29
17.6
1,920
1,080
23.07
60
18,384
male
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30-39
57.5
3,840
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24.54
24
18,385
male
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30-39
117.2
3,840
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47.17
24
18,386
male
white
en
30-39
75.1
3,840
2,160
27.79
24
18,387
male
white
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30-39
60.4
3,840
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24.04
24
18,388
male
white
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30-39
83.8
3,840
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37.29
24
18,389
male
white
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30-39
82.9
3,840
2,160
33.42
24
18,390
male
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30-39
75.3
3,840
2,160
34.29
24
18,391
male
black
en
40-49
74.7
3,840
2,160
52.15
30
18,392
male
black
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40-49
101.3
3,840
2,160
88.89
30
18,393
male
white
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40-49
9.3
1,920
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22.77
30
18,394
male
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40-49
16.8
1,920
1,080
36.87
30
18,395
male
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40-49
22.9
1,920
1,080
55.37
30
18,396
male
asian
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20-29
78.3
3,840
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50.28
25
18,397
male
asian
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20-29
93.4
3,840
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42.48
25
18,398
male
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it
30-39
82.1
3,840
2,160
40.22
60
18,399
male
white
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30-39
57.5
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28.72
60
18,400
male
asian
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20-29
66.2
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48.97
24
18,401
male
asian
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20-29
231.9
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177.68
24
18,402
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20-29
45.9
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31.41
24
18,403
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30-39
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25.08
25
18,404
male
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30-39
32
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20.1
24
18,405
male
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30-39
35.4
3,840
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22.06
24
18,406
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30-39
20.6
1,920
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33.9
30
18,407
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30-39
32
1,920
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39
30
18,408
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113.4
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48.03
30
18,409
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10-19
106.1
3,840
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46.57
30
18,410
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asian
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10-19
63.6
3,840
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27.73
30
18,411
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23.8
3,840
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22.15
24
18,412
male
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30-39
24.9
3,840
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23.61
24
18,413
male
white
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30-39
30.5
3,840
2,160
26.48
24
18,414
male
white
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30-39
38.3
3,840
2,160
36.16
24
18,415
male
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60-69
44.7
3,840
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27.93
30
18,416
male
asian
en
20-29
45
3,840
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33.53
24
18,417
male
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en
20-29
42.5
3,840
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32.62
24
18,418
female
white
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50-59
63.4
3,840
2,160
35.87
24
18,419
female
white
it
50-59
58.8
3,840
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35.49
24
18,420
female
white
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50-59
63.4
3,840
2,160
37.54
24
18,421
male
white
it
20-29
14.6
1,920
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21.79
30
18,422
male
white
it
30-39
28.3
1,920
1,080
35.9
30
18,423
male
white
it
30-39
23.5
1,920
1,080
29.93
30
18,424
male
white
it
30-39
11.8
1,920
1,080
27.49
30
18,425
male
white
it
30-39
15.6
1,920
1,080
28.23
30
18,426
male
white
en
40-49
39.1
3,840
2,160
21.19
24
18,427
male
white
en
30-39
47.3
3,840
2,160
27.24
25
18,428
male
white
en
30-39
45.3
3,840
2,160
24.96
25
18,429
male
white
en
30-39
41.9
3,840
2,160
24.24
25
18,430
male
white
en
30-39
129.3
3,840
2,160
73.56
25
18,431
male
white
en
30-39
91.5
3,840
2,160
50.4
25
18,432
male
white
en
30-39
10.7
1,920
1,080
20.89
30
18,433
male
white
it
40-49
208.7
3,840
2,160
73.57
60
18,434
male
white
en
30-39
44.2
3,840
2,160
24.36
24
18,435
male
white
en
30-39
123.3
3,840
2,160
74.57
24
18,436
male
white
en
30-39
51.4
3,840
2,160
30.86
24
18,437
male
white
en
30-39
53.1
3,840
2,160
31.36
24
18,438
male
white
en
30-39
142.8
3,840
2,160
81.92
24
18,439
male
white
en
30-39
62.6
3,840
2,160
34.37
24
18,440
male
white
en
30-39
34.8
3,840
2,160
20.48
24
18,441
male
white
en
30-39
141
3,840
2,160
81.21
24
18,442
male
white
en
30-39
16.1
1,920
1,080
32.77
30
18,443
male
white
en
30-39
42.4
1,920
1,080
80.3
30
18,444
male
white
en
30-39
34.8
1,920
1,080
67.57
30
18,445
male
white
en
30-39
27.7
1,920
1,080
52.87
30
18,446
male
white
en
30-39
9.3
1,920
1,080
18.27
30
18,447
male
white
en
30-39
57.6
1,920
1,080
110.87
30
18,448
male
white
en
30-39
37.8
3,840
2,160
22.22
30
18,449
female
white
id
30-39
41.5
3,840
2,160
24.36
30
18,450
female
white
id
30-39
44.5
3,840
2,160
22.32
30
18,451
male
white
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30-39
64.7
3,840
2,160
25.26
30
18,452
male
white
it
30-39
314.3
3,840
2,160
162.03
30
18,453
male
white
it
30-39
248.1
3,840
2,160
50.62
30
18,454
male
white
it
30-39
49.5
3,840
2,160
41.28
25
18,455
male
white
it
30-39
32.7
3,840
2,160
26.64
25
18,456
male
white
it
30-39
50.1
3,840
2,160
22.69
30
18,457
male
white
en
30-39
65.9
3,840
2,160
25.32
24
18,458
male
black
en
40-49
201.1
3,840
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72.67
30
18,459
male
white
en
30-39
108.8
3,840
2,160
56.93
24
18,460
male
white
en
30-39
75.7
3,840
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53.01
24
18,461
male
white
en
30-39
74.2
3,840
2,160
30.91
24
18,462
male
white
en
30-39
152.1
3,840
2,160
63.31
24
18,463
male
white
en
30-39
54
3,840
2,160
21.35
24
18,464
male
black
en
30-39
70.2
3,840
2,160
33.92
24
18,465
male
black
en
30-39
73.9
3,840
2,160
34.42
24
18,466
male
black
en
30-39
53.1
3,840
2,160
25.17
24
18,467
male
black
en
30-39
153.2
3,840
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73.67
24