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
14,629
male
white
en
20-29
33.9
3,840
2,160
44.42
24
14,630
male
white
en
20-29
24.7
3,840
2,160
32.49
24
14,631
male
white
en
20-29
46.1
3,840
2,160
67.82
24
14,632
male
white
en
20-29
20.4
3,840
2,160
27.03
24
14,633
male
white
en
30-39
86.2
3,840
2,160
53.95
30
14,634
male
black
en
30-39
18.2
1,920
1,080
35.76
25
14,635
male
white
en
30-39
38.9
3,840
2,160
20.89
30
14,636
male
white
en
30-39
126.8
3,840
2,160
46.73
30
14,637
female
white
en
20-29
31.3
1,920
1,080
61.2
25
14,638
female
white
en
20-29
54.7
1,920
1,080
110.64
25
14,639
male
asian
en
30-39
435.6
3,840
2,160
87.79
30
14,640
male
asian
en
30-39
71.9
3,840
2,160
26.89
30
14,641
male
asian
en
30-39
66.2
3,840
2,160
27.33
30
14,642
female
asian
en
20-29
264.2
3,840
2,160
72.77
30
14,643
female
asian
en
20-29
364.6
3,840
2,160
131.7
30
14,644
female
asian
en
20-29
55.1
3,840
2,160
24.19
30
14,645
female
asian
en
20-29
166.1
3,840
2,160
41.41
30
14,646
male
asian
en
20-29
35.4
3,840
2,160
24.23
24
14,647
male
asian
en
20-29
31.2
3,840
2,160
21.4
24
14,648
male
white
en
30-39
67.3
3,840
2,160
31.92
24
14,649
male
white
en
30-39
172.1
3,840
2,160
91.04
24
14,650
male
white
en
30-39
62.1
3,840
2,160
41.42
24
14,651
male
white
en
30-39
58.4
3,840
2,160
20.42
24
14,652
male
white
en
30-39
66.5
3,840
2,160
31.54
24
14,653
male
white
en
40-49
33.3
3,840
2,160
25.69
30
14,654
male
white
en
40-49
30.9
3,840
2,160
20.49
30
14,655
male
white
en
40-49
40.4
3,840
2,160
28.7
30
14,656
male
white
en
40-49
31.5
3,840
2,160
22.42
30
14,657
male
white
en
40-49
38
3,840
2,160
27.59
30
14,658
male
white
en
40-49
98.9
3,840
2,160
65.77
30
14,659
male
white
en
40-49
121.7
3,840
2,160
90.09
30
14,660
male
white
en
30-39
42.5
3,840
2,160
29.42
24
14,661
male
white
en
40-49
15.6
1,920
1,080
29.57
24
14,662
male
white
en
40-49
16.9
1,920
1,080
35.54
24
14,663
male
white
en
40-49
11.3
1,920
1,080
28.11
24
14,664
male
asian
en
40-49
25.4
3,840
2,160
23.65
24
14,665
male
white
en
50-59
8.8
1,920
1,080
22.27
24
14,666
male
white
en
30-39
25.8
3,840
2,160
21.72
25
14,667
male
white
en
30-39
32.2
3,840
2,160
28.44
25
14,668
male
white
en
30-39
27.2
3,840
2,160
23.76
25
14,669
male
white
en
30-39
39.6
3,840
2,160
33
25
14,670
male
white
en
40-49
28.9
1,920
1,080
31.04
24
14,671
male
white
en
40-49
18.1
1,920
1,080
27.63
30
14,672
male
white
en
40-49
20.8
3,840
2,160
20.67
24
14,673
male
black
en
40-49
59.3
3,840
2,160
27.16
59.9
14,674
male
white
en
30-39
39.5
3,840
2,160
23.28
25
14,675
female
white
en
30-39
67
3,840
2,160
27.78
24
14,676
male
white
en
40-49
57.9
3,840
2,160
26.15
24
14,677
male
white
en
20-29
13.8
1,920
1,080
48.5
30
14,678
male
white
en
20-29
25.1
1,920
1,080
95.57
30
14,679
male
white
en
20-29
13.7
1,920
1,080
52
30
14,680
male
white
en
20-29
21.5
1,920
1,080
75.33
30
14,681
male
white
en
20-29
5
1,920
1,080
20.5
30
14,682
male
white
en
20-29
13.9
1,920
1,080
50.5
30
14,683
male
white
en
30-39
68.2
3,840
2,160
39.71
30
14,684
male
asian
en
20-29
96.4
3,840
2,160
31.77
30
14,685
male
white
en
30-39
57.6
3,840
2,160
45.96
24
22,511
male
asian
zh-cn
20-29
16.1
1,920
1,080
29.22
60
22,512
male
asian
ko
20-29
5.4
1,920
1,080
24.63
30
22,513
male
asian
ko
20-29
16.6
1,920
1,080
48.5
30
14,690
female
white
en
20-29
41
3,840
2,160
22.79
30
14,691
female
white
en
20-29
39
3,840
2,160
21.96
30
14,692
male
white
en
30-39
49.5
1,920
1,080
51.7
30
14,693
male
white
en
30-39
37.4
3,840
2,160
20.25
59.9
14,694
male
white
en
30-39
167.8
3,840
2,160
35.89
59.9
14,695
male
white
en
30-39
129.6
3,840
2,160
76.53
59.9
14,696
male
asian
en
20-29
23.9
1,920
1,080
62.94
24
14,697
male
white
en
30-39
21.2
1,920
1,080
50.3
30
14,698
male
white
en
20-29
31.4
1,920
1,080
85.55
30
14,699
male
white
en
20-29
66.9
1,920
1,080
178.41
30
14,700
female
white
en
30-39
29.5
3,840
2,160
29.7
24
14,701
female
white
en
30-39
30.7
3,840
2,160
28.65
24
14,702
female
white
en
30-39
76.5
3,840
2,160
76.74
24
14,703
female
white
en
30-39
20.3
3,840
2,160
21.56
24
14,704
female
white
en
30-39
36.8
3,840
2,160
32.37
24
14,705
female
white
en
30-39
26.4
3,840
2,160
23.23
24
14,706
male
white
en
40-49
39
3,840
2,160
25.16
30
14,707
male
white
en
40-49
44.7
3,840
2,160
30.73
30
14,708
male
white
en
30-39
19.7
3,840
2,160
29.57
24
14,709
male
white
en
30-39
20.6
3,840
2,160
29.9
24
14,710
male
white
en
20-29
93.3
3,840
2,160
21.47
60
14,711
male
white
en
20-29
121.1
3,840
2,160
27.67
60
14,712
male
white
en
20-29
130.1
3,840
2,160
27.87
60
14,713
male
white
en
20-29
107.2
3,840
2,160
22.87
60
14,714
male
white
en
20-29
171.6
3,840
2,160
40.05
60
14,715
male
white
en
20-29
129.2
3,840
2,160
27.07
60
14,716
male
white
en
20-29
97.8
3,840
2,160
21.68
60
14,717
male
asian
en
20-29
33.7
3,840
2,160
31.53
30
14,718
male
white
en
30-39
35.9
1,920
1,080
47.53
30
14,719
male
white
en
20-29
46.1
3,840
2,160
22.53
30
14,720
male
white
en
20-29
76.7
3,840
2,160
34.63
30
14,721
male
white
en
40-49
64.5
3,840
2,160
38.04
30
14,722
male
white
en
40-49
59.2
3,840
2,160
39.14
30
14,723
male
white
en
40-49
92.4
3,840
2,160
57.26
30
14,724
male
white
en
40-49
104
3,840
2,160
64.26
30
14,725
male
white
en
40-49
173.3
3,840
2,160
53.65
30
14,726
male
asian
en
20-29
76
3,840
2,160
33.6
30
14,727
female
asian
en
30-39
14
1,920
1,080
25.23
30
14,728
male
white
en
20-29
39.8
3,840
2,160
24.43
30
14,729
male
white
en
20-29
40.6
3,840
2,160
24.53
30