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
14,528
male
white
en
30-39
42.4
3,840
2,160
26.15
24
14,529
male
white
en
30-39
37.3
3,840
2,160
26.86
24
14,530
male
white
en
30-39
183.2
3,840
2,160
55.85
24
14,531
male
white
en
30-39
93.5
3,840
2,160
45.48
25
14,532
male
white
en
50-59
18.5
1,920
1,080
39.6
25
14,533
male
white
en
50-59
36.4
1,920
1,080
103.92
25
14,534
male
white
en
30-39
10
1,920
1,080
21.08
60
14,535
male
white
en
20-29
48.7
3,840
2,160
20.9
30
14,536
male
white
en
40-49
51.2
3,840
2,160
26.29
30
14,537
female
white
en
20-29
52.2
1,920
1,080
83.16
25
14,538
female
white
en
20-29
38.3
1,920
1,080
60.96
25
14,539
female
white
en
20-29
32.1
1,920
1,080
41.08
25
14,540
male
white
en
30-39
18.1
3,840
2,160
20.53
30
14,541
male
white
en
30-39
29.4
3,840
2,160
35.23
30
14,542
male
white
en
30-39
32.6
3,840
2,160
21.62
59.9
14,543
male
white
en
30-39
36.6
3,840
2,160
23.06
59.9
14,544
male
white
en
30-39
49.6
3,840
2,160
46.38
24
14,545
male
white
en
30-39
73.8
3,840
2,160
42.37
60
14,546
male
white
en
30-39
82.9
3,840
2,160
47.52
60
14,547
male
white
en
30-39
141.9
3,840
2,160
80.27
60
14,548
male
white
en
30-39
43.7
3,840
2,160
24.83
60
14,549
male
white
en
30-39
30.1
3,840
2,160
21.37
60
14,550
male
white
en
30-39
35.5
3,840
2,160
20.12
60
14,551
male
white
en
20-29
8.1
1,920
1,080
24.56
30
14,552
male
white
en
20-29
14.7
1,920
1,080
41.34
30
14,553
male
white
en
20-29
9.7
1,920
1,080
26.17
24
14,554
male
white
en
20-29
8.4
1,920
1,080
21.79
24
14,555
male
white
en
20-29
12.6
1,920
1,080
37.29
24
14,556
male
white
en
20-29
35.5
3,840
2,160
27.96
30
14,557
male
white
en
20-29
83.6
3,840
2,160
75.14
30
14,558
male
white
en
20-29
35.5
3,840
2,160
36.84
30
14,559
male
white
en
20-29
18.3
3,840
2,160
20.62
30
14,560
female
white
en
20-29
36.7
3,840
2,160
23.48
24
14,561
female
white
en
20-29
109.9
3,840
2,160
69.82
24
14,562
male
black
hi
20-29
124.3
3,840
2,160
46.35
30
14,563
male
black
hi
20-29
90
3,840
2,160
27.16
30
14,564
male
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en
40-49
41.8
3,840
2,160
27.93
30
14,565
male
white
en
30-39
9.5
1,920
1,080
30.53
24
14,566
male
white
en
30-39
6.8
1,920
1,080
21.65
24
14,567
male
white
en
30-39
9.6
1,920
1,080
32.53
24
14,568
male
white
en
30-39
11.2
1,920
1,080
35.29
24
14,569
male
white
en
20-29
20.8
1,920
1,080
23.48
24
14,570
male
white
en
30-39
19.7
1,920
1,080
36.62
60
14,572
male
white
en
30-39
46.1
3,840
2,160
20.04
24
14,573
male
white
en
30-39
156.3
3,840
2,160
73.5
24
14,574
male
white
en
30-39
212.1
3,840
2,160
98.92
24
14,575
male
white
en
30-39
54
3,840
2,160
24.17
24
14,576
male
white
en
30-39
126.7
3,840
2,160
24.36
59.9
14,577
male
white
en
30-39
116.5
3,840
2,160
21.71
59.9
14,578
male
white
en
30-39
134.2
3,840
2,160
26.61
59.9
14,579
male
white
en
30-39
238.4
3,840
2,160
36.42
59.9
14,580
male
white
en
30-39
142.3
3,840
2,160
22.82
59.9
14,581
male
white
en
30-39
137.6
3,840
2,160
60.47
60
14,582
male
white
en
30-39
55.7
3,840
2,160
23.02
60
14,583
male
white
en
30-39
84.3
3,840
2,160
40.21
59.9
14,584
male
white
en
30-39
123.5
3,840
2,160
57.04
59.9
14,585
male
white
en
30-39
138
3,840
2,160
69.82
59.9
14,586
male
white
en
30-39
123.6
3,840
2,160
61.46
59.9
14,587
male
black
en
40-49
118.1
3,840
2,160
25.33
59.9
14,588
male
white
en
20-29
3.7
1,280
720
24.69
24
14,589
male
white
en
20-29
26.9
1,280
720
165.21
24
14,590
female
white
en
10-19
89.8
3,840
2,160
38.44
30
14,591
female
asian
en
20-29
345.8
3,840
2,160
162.04
24
14,592
female
asian
en
20-29
86.4
3,840
2,160
40.67
24
14,593
female
asian
en
20-29
72.7
3,840
2,160
35.03
24
14,594
female
asian
en
20-29
61
3,840
2,160
28.53
24
14,595
male
white
en
20-29
62.6
2,560
1,440
32.43
30
14,596
male
white
en
20-29
58.6
2,560
1,440
33.83
30
14,597
male
white
en
20-29
64.2
2,560
1,440
44.63
30
14,598
male
white
en
20-29
67.5
2,560
1,440
41.53
30
14,599
male
white
en
20-29
97.3
3,840
2,160
66.63
30
14,600
male
asian
en
20-29
40
3,840
2,160
26.36
24
14,601
male
asian
en
20-29
32.9
3,840
2,160
21.73
24
14,602
male
asian
en
20-29
125.7
3,840
2,160
82.67
24
14,603
male
asian
en
20-29
39.2
3,840
2,160
25.48
24
14,604
male
asian
en
20-29
83.9
3,840
2,160
54.89
24
14,605
male
white
en
20-29
72.4
3,840
2,160
80.15
30
14,606
male
white
en
30-39
39.1
3,840
2,160
20.6
24
14,607
male
white
en
30-39
51.2
3,840
2,160
23.61
24
14,608
male
white
en
20-29
34.3
1,920
1,080
100.96
25
14,609
male
white
en
20-29
60
1,920
1,080
178.48
25
14,610
male
white
en
30-39
68.4
3,840
2,160
49.25
30
14,611
male
white
en
30-39
6.3
1,920
1,080
31.07
24
14,612
male
white
en
30-39
10.7
1,920
1,080
50.63
24
14,613
male
white
en
20-29
45
3,840
2,160
22.89
30
14,614
male
white
en
20-29
50.2
3,840
2,160
20.12
30
14,615
male
white
en
20-29
382.4
3,840
2,160
71.04
30
14,616
male
white
en
20-29
164.7
3,840
2,160
33.9
30
14,617
female
asian
en
20-29
76.4
1,920
1,080
162
30
14,618
male
white
en
30-39
52.7
3,840
2,160
30.96
25
14,619
male
white
en
30-39
37.7
3,840
2,160
24.48
25
14,620
male
white
en
30-39
34.3
3,840
2,160
20.4
25
14,621
male
white
en
30-39
48.6
3,840
2,160
29.76
25
14,622
male
asian
en
40-49
47.3
1,920
1,080
57.07
60
14,623
female
asian
en
20-29
15.7
1,920
1,080
33.7
30
14,624
female
asian
en
20-29
23.4
1,920
1,080
42.74
30
14,625
female
asian
en
20-29
27.2
1,920
1,080
46.51
30
14,626
male
indian
en
30-39
14.9
1,920
1,080
46.45
30
14,627
male
indian
en
30-39
13.2
1,920
1,080
42.81
30
14,628
male
white
en
20-29
18.4
3,840
2,160
25.73
24