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
8,593
female
white
en
20-29
45.1
3,840
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35.16
24
8,594
female
white
en
20-29
33.3
3,840
2,160
23.23
24
8,595
male
white
en
30-39
129.5
3,840
2,160
89.52
30
8,596
male
white
en
30-39
31.5
3,840
2,160
20.75
30
8,597
male
white
en
30-39
39.8
3,840
2,160
30.73
30
8,598
male
white
en
30-39
102.6
3,840
2,160
72.11
30
8,599
male
white
en
30-39
55.8
3,840
2,160
35.37
30
8,600
female
white
en
20-29
16.7
1,920
1,080
24.3
30
8,601
female
white
en
20-29
34.5
1,920
1,080
45.1
30
8,602
female
white
en
20-29
30.1
1,920
1,080
42.43
30
8,603
female
white
en
20-29
19.7
1,920
1,080
28.47
30
8,604
male
white
en
30-39
26.7
1,920
1,080
43.44
30
8,605
male
white
en
20-29
119.9
3,840
2,160
75.17
24
8,606
male
white
en
20-29
39.3
3,840
2,160
25.92
24
8,607
male
white
en
20-29
102.8
3,840
2,160
66.79
24
8,608
male
white
en
20-29
127.5
3,840
2,160
80.29
24
8,609
male
white
en
20-29
139
3,840
2,160
84.79
24
8,610
male
white
en
30-39
17.9
1,920
1,080
27.33
30
8,611
male
white
en
30-39
16.2
1,920
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51.65
30
8,612
male
white
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20-29
61.5
3,840
2,160
59.89
24
8,613
male
white
en
20-29
30.1
3,840
2,160
26.23
24
8,614
male
white
en
20-29
36.4
3,840
2,160
40.42
24
8,615
male
white
en
30-39
96.2
3,840
2,160
36.74
30
8,616
male
white
en
30-39
31
3,840
2,160
21.42
60
8,617
male
white
en
30-39
90.6
3,840
2,160
61.62
60
8,618
male
white
en
30-39
50.8
3,840
2,160
31.63
60
8,619
female
asian
en
20-29
36.9
3,840
2,160
25.33
30
8,620
female
asian
en
20-29
46.4
3,840
2,160
31.03
30
8,621
female
asian
en
20-29
34.1
3,840
2,160
22.13
30
8,622
male
white
en
30-39
50.4
3,840
2,160
22.89
30
8,623
male
white
en
30-39
75.6
3,840
2,160
34.03
30
8,624
female
white
en
20-29
76.5
1,920
1,080
167.93
30
8,625
female
white
en
20-29
27.3
1,920
1,080
56.92
30
8,626
male
white
en
20-29
9.3
1,920
1,080
26.27
30
8,627
male
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en
20-29
8.4
1,920
1,080
24.93
30
8,628
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en
30-39
34.7
3,840
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31.03
30
8,629
male
black
en
30-39
134
3,840
2,160
38.07
30
8,630
male
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en
30-39
110.5
3,840
2,160
31.8
30
8,631
male
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en
30-39
178.4
3,840
2,160
51.55
30
8,632
male
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en
20-29
14.6
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2,160
22.4
24
8,633
male
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40-49
29
1,920
1,080
24.28
25
8,634
male
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en
40-49
24
1,920
1,080
25.96
25
8,635
male
white
en
40-49
44
1,920
1,080
31.68
25
8,636
female
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30-39
16.2
1,920
1,080
30.37
30
8,637
male
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en
20-29
31.9
3,840
2,160
21.35
24
8,638
male
white
en
20-29
31.2
3,840
2,160
20.48
24
8,639
male
white
en
20-29
82
3,840
2,160
56.18
24
8,640
male
white
en
20-29
41.9
3,840
2,160
29.07
24
8,641
male
white
en
20-29
61.6
3,840
2,160
59.77
24
8,642
male
white
en
30-39
76.3
3,840
2,160
22.66
30
8,643
male
white
en
30-39
75.3
3,840
2,160
20.19
30
8,644
male
white
en
30-39
62.2
1,920
1,080
133.76
24
8,645
male
white
en
30-39
54.4
1,920
1,080
115.49
24
8,646
male
white
en
30-39
58.2
3,840
2,160
27.33
30
8,647
male
white
en
30-39
128.4
3,840
2,160
63.5
30
8,648
female
white
en
20-29
39.6
3,840
2,160
23.43
30
8,649
male
white
en
30-39
21.2
3,840
2,160
28.67
24
8,650
male
white
en
30-39
24.3
3,840
2,160
32.42
24
8,651
male
white
en
30-39
15.2
3,840
2,160
20.54
24
8,652
male
white
en
30-39
14.8
3,840
2,160
20.17
24
8,653
male
white
en
30-39
21.3
3,840
2,160
28.04
24
8,654
male
indian
en
20-29
59.1
3,840
2,160
21.43
30
8,655
male
indian
en
20-29
59.2
3,840
2,160
22.43
30
8,656
male
white
en
30-39
231.1
3,840
2,160
57.12
25
8,657
male
white
en
20-29
8
1,920
1,080
26.19
24
8,658
male
white
en
20-29
50.3
3,840
2,160
20.4
24
8,659
male
white
en
20-29
63.4
3,840
2,160
25.73
24
8,660
male
asian
en
10-19
30.3
3,840
2,160
21.54
24
8,661
male
asian
en
10-19
59.9
3,840
2,160
38.71
24
8,662
male
asian
en
10-19
28.4
3,840
2,160
21.67
24
8,663
male
black
en
30-39
28.5
1,920
1,080
44.33
60
8,664
male
black
en
30-39
17.2
1,920
1,080
25.92
60
8,665
male
black
en
30-39
20.8
1,920
1,080
33.47
60
8,666
male
white
en
30-39
23.4
1,920
1,080
27.33
30
8,667
female
asian
en
20-29
34
3,840
2,160
23.94
24
8,668
female
asian
en
20-29
37.2
3,840
2,160
24.02
24
8,669
female
asian
en
20-29
39.2
3,840
2,160
32.28
24
8,670
female
asian
en
20-29
95.6
3,840
2,160
90.84
24
8,671
male
white
en
50-59
84.9
3,840
2,160
40.01
30
8,672
male
white
en
50-59
79.1
3,840
2,160
37.37
30
8,673
male
white
en
50-59
63.8
3,840
2,160
29.26
30
8,674
male
white
en
50-59
45.4
3,840
2,160
20.42
30
8,675
male
white
en
30-39
44
3,840
2,160
20.32
30
8,676
male
white
en
20-29
65.8
3,840
2,160
35.79
24
8,677
male
white
en
40-49
41.6
3,840
2,160
23.61
24
8,678
male
white
en
40-49
63
3,840
2,160
35.12
24
8,679
male
white
en
40-49
275.4
3,840
2,160
178.64
24
8,680
male
white
en
40-49
43.5
3,840
2,160
32.4
25
8,681
male
asian
en
30-39
105.7
3,840
2,160
23.83
30
8,682
male
white
en
40-49
16.6
1,920
1,080
24.89
30
8,683
male
white
en
40-49
27.7
1,920
1,080
44.61
30
8,684
male
white
en
30-39
33.2
3,840
2,160
21.83
30
8,685
male
white
en
30-39
67.7
3,840
2,160
44.63
30
8,686
male
white
en
30-39
70.8
3,840
2,160
44.33
30
8,687
male
white
en
20-29
14.5
1,920
1,080
33.2
30
8,688
male
white
en
20-29
47.9
1,920
1,080
100.13
30
8,689
male
white
en
30-39
37.2
1,920
1,080
45.81
30
8,690
male
white
en
30-39
357.2
3,840
2,160
121.7
24
8,691
male
white
en
20-29
13.8
1,920
1,080
31.03
30
8,692
male
white
en
20-29
7.9
1,920
1,080
23.09
30