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
15,633
male
white
en
20-29
73.6
3,840
2,160
30.23
30
15,634
male
white
en
20-29
26.6
3,840
2,160
22.19
30
15,635
male
white
en
50-59
8.3
1,920
1,080
24.73
30
15,636
male
white
en
50-59
25.8
1,920
1,080
76.33
30
15,637
male
white
en
50-59
54.1
1,920
1,080
167.63
30
15,638
female
white
en
20-29
12.8
1,920
1,080
27.53
30
15,639
male
white
en
20-29
26.2
1,920
1,080
55.51
59.9
15,640
male
white
en
30-39
22
1,920
1,080
37.43
30
15,641
male
white
en
30-39
11.7
1,920
1,080
20.6
30
15,642
male
white
en
30-39
16.5
1,920
1,080
29
30
15,643
male
white
en
20-29
8.4
1,920
1,080
24.73
24
15,644
male
white
en
20-29
92.1
3,840
2,160
59.33
30
15,645
male
white
en
20-29
30.5
3,840
2,160
20.53
30
15,646
male
white
en
20-29
60.4
3,840
2,160
35.42
24
15,647
male
white
en
30-39
139.3
1,920
1,080
178.55
30
15,648
male
white
en
30-39
150.2
1,920
1,080
175.91
30
15,649
male
white
en
30-39
41.4
3,840
2,160
20.04
24
15,650
female
white
en
30-39
231.2
3,840
2,160
87.34
24
15,651
female
white
en
30-39
444.8
3,840
2,160
171.34
24
15,652
female
black
en
30-39
194.5
1,920
1,080
97.2
30
15,653
female
black
en
30-39
77.9
1,920
1,080
40.41
30
15,654
female
white
en
20-29
13.9
1,920
1,080
25.53
24
15,655
male
black
en
30-39
84.3
3,840
2,160
47.22
60
15,656
male
black
en
30-39
67.4
3,840
2,160
30.02
60
15,657
male
black
en
30-39
57.1
3,840
2,160
28.47
60
15,658
male
black
en
30-39
74.4
3,840
2,160
31.97
60
15,659
male
black
en
30-39
56.9
3,840
2,160
30.52
60
15,660
female
white
en
20-29
8
1,920
1,080
28.13
30
15,661
female
white
en
20-29
8.4
1,920
1,080
30.43
30
15,662
female
white
en
20-29
5.4
1,920
1,080
20.27
30
15,663
male
white
en
40-49
30.4
3,840
2,160
21.02
24
15,664
male
white
en
40-49
35.6
3,840
2,160
22.15
24
15,665
male
asian
en
20-29
419.4
3,840
2,160
142.17
30
15,666
male
asian
en
20-29
304.5
3,840
2,160
172.53
30
15,667
male
white
en
60-69
17.6
1,920
1,080
55.2
30
15,668
male
white
en
60-69
9.4
1,920
1,080
27.9
30
15,669
male
indian
en
30-39
40.6
3,840
2,160
22.2
25
15,670
male
indian
en
30-39
40
3,840
2,160
21
25
15,671
male
indian
en
30-39
41.3
3,840
2,160
23.28
25
15,672
male
indian
en
30-39
48.7
3,840
2,160
27.28
25
15,673
male
indian
en
30-39
39.6
3,840
2,160
22.08
25
15,674
male
indian
en
30-39
102.8
3,840
2,160
57
25
15,675
male
white
en
30-39
331.3
2,560
1,440
173.57
30
15,676
male
black
en
20-29
42.4
3,840
2,160
30.83
60
15,677
male
black
en
20-29
243.4
3,840
2,160
178.53
60
15,678
male
black
en
20-29
204.5
3,840
2,160
145.02
60
15,679
male
white
en
60-69
39.5
3,840
2,160
20.89
30
15,680
male
white
en
20-29
174.4
3,840
2,160
57.66
30
15,681
male
white
en
60-69
68.6
3,840
2,160
31.13
30
15,682
male
white
en
60-69
90.1
3,840
2,160
40.17
30
15,683
male
white
en
60-69
123
3,840
2,160
59.36
30
15,684
male
white
en
60-69
146.3
3,840
2,160
67.53
30
15,685
male
white
en
60-69
141.8
3,840
2,160
63.5
30
15,686
female
white
en
20-29
25.1
1,920
1,080
43.31
30
15,687
female
white
en
20-29
16.9
1,920
1,080
26.09
30
15,688
female
white
en
20-29
22.9
1,920
1,080
41.74
30
15,689
female
white
en
20-29
34.5
1,920
1,080
62.76
30
15,690
male
white
en
20-29
177.6
3,840
2,160
80.79
24
15,691
male
white
en
20-29
130
3,840
2,160
59.42
24
15,692
male
white
en
20-29
96.6
3,840
2,160
45.04
24
15,693
male
white
en
30-39
12.7
1,920
1,080
31.13
30
15,694
male
white
en
30-39
7.3
1,920
1,080
20.33
30
15,695
male
white
en
40-49
34
3,840
2,160
36.75
24
15,696
female
white
en
20-29
52.1
3,840
2,160
44.75
24
15,697
female
white
en
20-29
50.1
3,840
2,160
39.75
24
15,698
female
white
en
20-29
137.5
3,840
2,160
55.43
24
15,699
female
white
en
20-29
59.3
3,840
2,160
28.65
24
15,700
female
white
en
20-29
145.9
3,840
2,160
79.58
24
15,701
male
white
en
30-39
73.2
3,840
2,160
30.48
25
15,702
male
white
en
30-39
46.9
3,840
2,160
21.12
25
15,703
male
white
en
30-39
66.7
3,840
2,160
31.08
25
15,704
male
white
en
30-39
136.7
3,840
2,160
58
25
15,705
male
white
en
30-39
50.6
3,840
2,160
25.37
30
15,706
male
white
en
30-39
83.4
3,840
2,160
44.57
30
15,707
male
white
en
30-39
40.5
3,840
2,160
24.33
30
15,708
male
white
en
30-39
41.2
3,840
2,160
22.03
30
15,709
male
white
en
30-39
39.1
3,840
2,160
35.1
30
15,710
male
white
en
30-39
154.6
3,840
2,160
41.57
60
15,711
male
white
en
30-39
516.2
3,840
2,160
139.97
60
15,712
male
white
en
30-39
23.6
3,840
2,160
26.23
30
15,713
male
white
en
30-39
25.6
3,840
2,160
29.43
30
15,714
male
white
en
30-39
48.4
3,840
2,160
27.61
24
15,715
male
white
en
30-39
80.1
3,840
2,160
46.76
24
15,716
male
white
en
30-39
54.6
3,840
2,160
32.74
24
15,717
male
white
en
30-39
86.8
3,840
2,160
52.39
24
15,718
male
white
en
30-39
38.8
3,840
2,160
22.48
24
15,719
male
white
en
30-39
88.1
3,840
2,160
51.13
24
15,720
male
black
en
40-49
28.2
3,840
2,160
21.99
30
15,721
male
black
en
40-49
43.6
3,840
2,160
32.47
30
15,722
male
black
en
40-49
29.2
3,840
2,160
21.19
30
15,723
male
black
en
40-49
42.5
3,840
2,160
33.77
30
15,724
male
black
en
40-49
46.6
3,840
2,160
37.3
30
15,725
male
black
en
40-49
46.6
3,840
2,160
33.83
30
15,726
male
black
en
40-49
221.2
3,840
2,160
178.51
30
15,727
male
white
en
20-29
42.2
3,840
2,160
39.37
24
15,728
male
white
en
20-29
28.4
3,840
2,160
28.28
24
15,729
male
white
en
20-29
66.2
3,840
2,160
34.12
24
15,730
male
white
en
40-49
173.8
3,840
2,160
62.28
25
15,731
male
white
en
40-49
75.3
3,840
2,160
27
25
15,732
male
white
en
20-29
29.9
3,840
2,160
26.29
30