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
19,369
male
white
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20-29
64.8
3,840
2,160
60.12
25
19,370
male
white
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20-29
27.8
3,840
2,160
26.32
25
19,371
male
white
ar
20-29
47.1
3,840
2,160
44.88
25
19,372
male
white
ar
20-29
41.6
3,840
2,160
38.28
25
19,373
male
white
ar
20-29
85.8
3,840
2,160
80.64
25
19,374
male
white
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20-29
48.7
3,840
2,160
38.64
25
19,375
male
white
en
30-39
188.4
3,840
2,160
94.97
24
19,376
male
white
en
30-39
53.2
3,840
2,160
25.73
24
19,377
male
white
en
30-39
61.2
3,840
2,160
31.24
24
19,378
male
white
en
30-39
72
3,840
2,160
43.54
24
19,379
male
white
it
20-29
14.3
1,920
1,080
29.47
60
19,380
male
white
en
30-39
28.2
1,920
1,080
21.02
59.9
19,381
male
white
en
30-39
107.1
1,920
1,080
71.97
59.9
19,382
male
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30-39
56.2
3,840
2,160
26.53
24
19,383
male
asian
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30-39
45.2
3,840
2,160
23.03
30
19,384
male
white
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30-39
78.3
3,840
2,160
40.8
25
19,385
male
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it
30-39
328.2
3,840
2,160
171.96
25
19,386
male
white
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30-39
92
3,840
2,160
46.68
25
19,387
male
white
it
30-39
44.8
3,840
2,160
22.2
25
19,388
male
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it
30-39
51.8
3,840
2,160
27.36
25
19,389
male
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30-39
98.8
3,840
2,160
54.36
25
19,390
male
white
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30-39
226.8
3,840
2,160
116.76
25
19,391
male
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30-39
47.5
3,840
2,160
24.96
25
19,392
male
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30-39
78.4
3,840
2,160
35.03
30
19,393
male
white
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30-39
75.8
3,840
2,160
33.8
30
19,394
male
white
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30-39
79.8
3,840
2,160
36.47
30
19,395
male
white
en
30-39
53.9
3,840
2,160
26.59
30
19,396
male
black
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30-39
43.1
3,840
2,160
31.03
24
19,397
male
black
en
30-39
110.7
3,840
2,160
80.58
24
19,398
male
black
en
30-39
129.7
3,840
2,160
93.84
24
19,399
male
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30-39
27.3
3,840
2,160
25.73
24
19,400
male
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40-49
56.4
3,840
2,160
22.12
30
19,401
male
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40-49
60.2
3,840
2,160
21.25
30
19,402
male
white
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40-49
161.2
3,840
2,160
39.34
59.9
19,403
male
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en
40-49
97.2
3,840
2,160
22.62
59.9
19,404
male
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en
40-49
81.3
3,840
2,160
20.22
59.9
19,405
male
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en
30-39
70.3
3,840
2,160
48.83
30
19,406
male
white
en
30-39
39.8
3,840
2,160
28.53
30
19,407
male
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en
30-39
32.4
3,840
2,160
22.73
30
19,408
male
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20-29
40
3,840
2,160
25.15
24
19,409
male
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30-39
79.9
3,840
2,160
50.64
25
19,410
male
asian
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30-39
54.4
3,840
2,160
27.88
25
19,411
male
asian
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30-39
62.4
3,840
2,160
38.76
25
19,412
male
asian
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30-39
53
3,840
2,160
34.32
25
19,413
male
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30-39
33.7
3,840
2,160
20.4
25
19,414
male
asian
en
30-39
49.8
3,840
2,160
31.56
25
19,415
male
asian
en
30-39
82
3,840
2,160
53.08
25
19,416
male
asian
en
30-39
38.5
3,840
2,160
24.12
25
19,417
male
indian
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59.6
3,840
2,160
25.17
60
19,418
male
indian
en
20-29
67.8
3,840
2,160
26.77
60
19,419
male
white
en
30-39
33.1
3,840
2,160
21.02
24
19,420
male
white
en
40-49
72.2
3,840
2,160
28.24
24
19,421
male
white
en
40-49
413.3
3,840
2,160
178.6
24
19,422
male
white
en
40-49
404.7
3,840
2,160
178.51
24
19,423
male
white
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30-39
11.9
1,920
1,080
33.37
30
19,424
male
white
en
20-29
68.8
3,840
2,160
57.06
30
19,425
male
white
en
20-29
45.2
3,840
2,160
37.64
30
19,426
male
white
en
30-39
208.6
3,840
2,160
147.77
24
19,427
male
white
en
30-39
75.1
3,840
2,160
54.68
24
19,428
male
white
en
30-39
28.9
3,840
2,160
20.9
24
19,429
male
white
en
20-29
45.2
3,840
2,160
27.24
24
19,430
male
white
en
20-29
433.1
3,840
2,160
106.61
24
19,431
male
white
en
20-29
242.7
3,840
2,160
58.39
24
19,432
male
white
en
20-29
42.9
3,840
2,160
25.02
24
19,433
male
white
en
20-29
86.9
3,840
2,160
50.93
24
19,434
male
white
en
20-29
34.7
3,840
2,160
29.28
24
19,435
male
white
en
20-29
34.5
3,840
2,160
25.15
24
19,436
male
white
en
20-29
146.5
3,840
2,160
136.64
24
19,437
male
white
en
30-39
41.6
3,840
2,160
42.54
24
19,438
male
white
en
30-39
33.2
3,840
2,160
34.24
24
19,439
male
white
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30-39
76.7
3,840
2,160
73.91
24
19,440
male
white
en
30-39
22.8
3,840
2,160
24.15
24
19,441
male
white
en
30-39
18.9
3,840
2,160
23.77
24
19,442
male
white
en
30-39
29.8
3,840
2,160
26.48
24
19,443
male
white
en
30-39
99.1
3,840
2,160
106.61
24
19,444
male
white
en
30-39
69.1
3,840
2,160
61.69
24
19,445
male
white
en
30-39
35.9
3,840
2,160
30.78
24
19,446
female
asian
en
20-29
177.2
3,840
2,160
50.33
30
19,447
female
asian
en
20-29
449.7
3,840
2,160
112.23
30
19,448
male
asian
en
20-29
80.7
3,840
2,160
32.53
24
19,449
male
white
en
30-39
62.7
3,840
2,160
34.16
24
19,450
male
white
en
30-39
50.4
3,840
2,160
24.77
24
19,451
male
white
en
30-39
93.8
3,840
2,160
47.67
24
19,452
female
white
en
30-39
39.4
3,840
2,160
33.95
24
19,453
female
white
en
30-39
36.4
3,840
2,160
31.03
24
19,454
female
asian
en
20-29
42.3
3,840
2,160
26.23
30
19,455
male
white
en
30-39
73.4
3,840
2,160
37
30
19,456
male
white
en
20-29
146.6
3,840
2,160
37.17
24
19,457
male
white
en
20-29
212.9
3,840
2,160
51.92
24
19,458
male
white
en
20-29
157.6
3,840
2,160
39.54
24
19,459
male
white
en
20-29
320.3
3,840
2,160
82.67
24
19,460
male
white
en
30-39
45.4
3,840
2,160
21.77
24
19,461
male
white
en
30-39
46.3
3,840
2,160
22.9
24
19,462
male
white
en
20-29
77.5
3,840
2,160
43.01
30
19,463
male
white
en
20-29
72.1
3,840
2,160
40.94
30
19,464
male
white
en
20-29
80
3,840
2,160
42.31
30
19,465
male
white
en
20-29
71.3
3,840
2,160
39.24
30
19,466
male
white
en
60-69
97.7
3,840
2,160
32.23
30
19,467
female
asian
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20-29
77
3,840
2,160
44.64
30
19,468
female
asian
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20-29
85.4
3,840
2,160
48.05
30