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
44,695
male
black
en
20-29
13.4
1,920
1,080
24.86
24
44,696
female
black
pt
30-39
14.3
1,920
1,080
20.49
30
44,697
female
black
pt
30-39
14.6
1,920
1,080
21.59
30
44,698
female
black
pt
30-39
18.9
1,920
1,080
23.52
30
44,699
male
white
pt
30-39
28
1,920
1,080
33.03
30
44,700
female
white
pt
20-29
8.4
1,920
1,080
20.63
30
44,701
female
white
pt
20-29
15.6
1,920
1,080
34.43
30
44,702
female
white
en
20-29
18.5
1,920
1,080
26.6
30
44,703
female
white
en
20-29
102
1,920
1,080
178.5
30
44,704
male
white
en
20-29
23.7
1,920
1,080
89.02
30
44,705
male
black
en
10-19
22.2
1,920
1,080
47.15
30
44,706
male
black
en
10-19
17.5
1,920
1,080
42.04
30
44,707
male
white
pt
30-39
13.4
1,920
1,080
24.82
59.9
44,709
female
white
en
20-29
10.7
1,920
1,080
21.19
30
44,710
female
white
en
20-29
11.7
1,920
1,080
24.22
30
44,711
male
asian
pt
20-29
10
1,920
1,080
20.55
30
44,712
male
asian
pt
20-29
13.6
1,920
1,080
28.9
30
44,713
male
asian
pt
20-29
10.4
1,920
1,080
20.89
30
44,714
male
asian
pt
20-29
40.3
1,920
1,080
86.49
30
44,715
male
white
pt
30-39
11
1,920
1,080
21.47
60
44,716
male
white
pt
30-39
39.1
1,920
1,080
72.13
30
44,717
male
white
en
30-39
20.9
3,840
2,160
21.39
30
44,718
male
white
en
30-39
38.8
3,840
2,160
36.84
30
44,719
male
white
en
30-39
32.3
3,840
2,160
30.7
30
44,720
male
white
en
30-39
24.9
3,840
2,160
25.19
30
44,721
male
white
en
30-39
39.1
3,840
2,160
39.01
30
44,722
female
white
pt
20-29
41.8
3,840
2,160
22.08
25
44,723
female
white
pt
20-29
56.4
3,840
2,160
27.04
25
44,724
female
white
pt
20-29
55.2
3,840
2,160
26.4
25
44,725
female
white
pt
20-29
68.2
3,840
2,160
37.56
25
44,726
female
white
pt
20-29
66.7
3,840
2,160
32.32
25
44,727
female
white
pt
20-29
71.1
3,840
2,160
38.76
25
44,728
female
white
pt
20-29
51.4
3,840
2,160
26.56
25
44,729
female
white
pt
20-29
130.7
3,840
2,160
74.28
25
44,730
female
white
pt
20-29
118
3,840
2,160
57.96
25
44,731
female
white
pt
20-29
57.7
3,840
2,160
32.92
25
44,732
female
white
pt
20-29
67.5
3,840
2,160
32.64
25
44,733
male
white
pt
20-29
210.5
3,840
2,160
47.47
30
44,735
male
white
pt
20-29
15
1,920
1,080
43.73
30
44,736
male
indian
pt
30-39
42.5
3,840
2,160
21.43
30
44,737
male
indian
pt
30-39
66
3,840
2,160
32.77
30
44,738
male
indian
pt
30-39
50.6
3,840
2,160
25.33
30
44,739
male
white
pt
20-29
79.9
3,840
2,160
22.84
59.9
44,740
male
asian
tl
20-29
31.9
1,920
1,080
49.53
30
44,741
male
black
pt
20-29
43.1
3,840
2,160
23.12
30
44,742
male
black
pt
20-29
34.9
3,840
2,160
20.69
30
44,743
male
white
pt
20-29
86.4
3,840
2,160
34.03
30
44,744
male
white
pt
20-29
84.7
3,840
2,160
28.63
30
44,745
female
asian
id
20-29
37.6
1,920
1,080
77.03
59.9
44,746
female
asian
id
20-29
41.9
1,920
1,080
81.23
59.9
44,747
male
asian
pt
40-49
9.8
1,920
1,080
24.63
30
44,748
male
asian
pt
20-29
12.7
1,920
1,080
24.07
60
44,749
male
white
pt
30-39
43.5
1,920
1,080
99.4
59.9
44,750
male
white
pt
30-39
31.8
1,920
1,080
58.98
59.9
44,751
male
white
es
30-39
12.7
1,920
1,080
20.16
25
44,752
male
asian
en
30-39
43.4
3,840
2,160
20.53
30
44,753
male
asian
en
30-39
109.8
3,840
2,160
52.43
30
44,754
female
white
pt
20-29
24.7
1,920
1,080
23.63
30
44,755
female
white
pt
20-29
23.5
1,920
1,080
29.8
30
44,756
female
white
pt
20-29
79.2
1,920
1,080
97.27
30
44,757
female
white
pt
20-29
25.3
1,920
1,080
28.1
30
44,758
female
white
pt
20-29
57
1,920
1,080
71.53
30
44,759
male
asian
es
30-39
15.8
1,920
1,080
34.87
59.9
44,760
male
black
pt
30-39
27.9
3,840
2,160
26.42
24
44,761
male
black
pt
30-39
25.7
3,840
2,160
24.42
24
44,762
male
black
pt
30-39
24
3,840
2,160
25.79
24
44,763
male
black
pt
30-39
28.9
3,840
2,160
30.54
24
44,764
male
black
pt
30-39
27.5
3,840
2,160
31.96
24
44,765
male
white
en
30-39
71.9
3,840
2,160
25.86
24
44,766
male
white
en
30-39
95.1
3,840
2,160
31.91
24
44,767
male
white
en
20-29
53.3
1,920
1,080
55.1
24
44,768
male
white
en
20-29
24.9
1,920
1,080
23.27
24
44,769
male
white
pt
30-39
79.5
3,840
2,160
51.18
30
44,770
male
white
pt
30-39
34.2
3,840
2,160
21.99
30
44,771
male
white
pt
30-39
39.3
3,840
2,160
23.52
30
44,772
male
white
pt
30-39
59.4
3,840
2,160
35.64
30
44,773
male
white
pt
20-29
9.2
1,920
1,080
26.86
24
44,774
male
white
pt
30-39
36
1,920
1,080
59.07
30
44,775
male
white
en
30-39
22.4
1,920
1,080
45.53
30
44,776
male
white
en
30-39
16
1,920
1,080
29.13
30
44,777
male
white
pt
20-29
11.4
1,920
1,080
24.59
30
44,778
male
white
pt
20-29
10.1
1,920
1,080
25.76
30
44,779
female
white
en
20-29
35.1
1,920
1,080
51.26
50
44,780
female
white
en
20-29
29.4
1,920
1,080
37.02
50
44,781
male
white
pt
30-39
28.4
1,920
1,080
109.63
30
44,782
male
white
pt
30-39
24.2
1,920
1,080
63.23
30
44,783
female
asian
pt
20-29
55.7
3,840
2,160
25.67
60
44,784
female
white
en
30-39
30.2
1,920
1,080
57.92
30
44,785
female
white
en
30-39
36.8
1,920
1,080
70
30
44,786
female
white
en
30-39
39.7
1,920
1,080
74.47
30
44,787
female
white
en
30-39
45.4
1,920
1,080
85.22
30
44,788
female
white
en
30-39
56.9
1,920
1,080
101.8
30
44,789
male
white
pt
20-29
12.9
1,920
1,080
20.53
30
44,790
male
indian
pt
20-29
29.5
3,840
2,160
25.58
24
44,791
male
indian
pt
20-29
23.4
3,840
2,160
20.54
24
44,792
male
indian
pt
20-29
26.8
3,840
2,160
24.96
24
44,793
female
white
en
30-39
17.1
1,920
1,080
23.12
30
44,794
female
white
en
30-39
29.1
1,920
1,080
32.93
30
44,795
female
white
en
30-39
19.1
1,920
1,080
24.79
30
44,796
female
white
en
30-39
15.6
1,920
1,080
21.72
30