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
8,693
male
white
en
20-29
8.4
1,920
1,080
20.75
30
8,694
male
white
en
20-29
8.7
1,920
1,080
24.96
30
8,695
male
white
en
20-29
14.8
1,920
1,080
33
30
8,696
male
white
en
20-29
36.1
3,840
2,160
37.6
30
8,697
male
white
en
30-39
14.2
1,920
1,080
49.24
25
8,698
male
white
en
30-39
20.2
1,920
1,080
68.72
25
8,699
male
white
en
30-39
13.2
1,920
1,080
48.52
25
8,700
male
white
en
30-39
13.8
1,920
1,080
46.4
25
8,701
male
white
en
30-39
36
3,840
2,160
21.29
24
8,702
male
white
en
30-39
83.6
3,840
2,160
50.04
24
8,703
male
asian
en
30-39
24.9
3,840
2,160
20.52
24
8,704
male
white
en
20-29
101.3
3,840
2,160
36.08
24
8,705
male
white
en
20-29
24.8
3,840
2,160
21.1
24
8,706
male
white
en
30-39
51.9
3,840
2,160
35.74
24
8,707
male
white
en
30-39
36.4
3,840
2,160
24.69
24
8,708
male
white
en
30-39
37.6
3,840
2,160
27.82
24
8,709
male
white
en
30-39
41.2
3,840
2,160
30.82
24
8,710
female
asian
en
30-39
29
1,280
720
140.43
30
8,711
male
asian
en
20-29
32.1
3,840
2,160
28.56
25
8,712
male
asian
en
20-29
27.3
3,840
2,160
21.48
25
8,713
male
asian
en
20-29
30
3,840
2,160
26.16
25
8,714
male
white
en
30-39
138.8
1,920
1,080
126.38
59.9
8,715
female
white
en
20-29
107.3
1,920
1,080
106.27
30
8,716
female
white
en
20-29
59.6
1,920
1,080
58.26
30
8,717
male
white
en
40-49
37
3,840
2,160
23.88
25
8,718
male
white
en
30-39
20.7
1,920
1,080
32.33
30
8,719
male
white
en
20-29
18.5
1,920
1,080
29.53
30
8,720
male
white
en
30-39
68.2
3,840
2,160
60.1
24
8,721
male
white
en
30-39
73.9
3,840
2,160
20.63
30
8,722
male
white
en
40-49
18.5
1,920
1,080
56.4
25
8,723
female
black
en
20-29
70.3
3,840
2,160
26.39
30
8,724
female
black
en
20-29
87.6
3,840
2,160
34.2
30
8,725
female
black
en
20-29
60
3,840
2,160
22.89
30
8,726
female
black
en
20-29
178.8
3,840
2,160
69.37
30
8,727
female
black
en
20-29
50.7
3,840
2,160
20.39
30
8,728
male
white
en
30-39
30.5
3,840
2,160
24.13
30
8,729
female
black
en
20-29
18.4
1,920
1,080
25.93
30
8,730
female
black
en
20-29
46.2
1,920
1,080
61.5
30
8,731
female
black
en
20-29
19.8
1,920
1,080
29.5
30
8,732
female
black
en
20-29
16.8
1,920
1,080
33.63
30
8,733
female
black
en
20-29
32
1,920
1,080
44.6
30
8,734
female
black
en
20-29
21.7
1,920
1,080
24.67
30
8,735
female
black
en
20-29
27
1,920
1,080
32.97
30
8,736
female
black
en
20-29
15.5
1,920
1,080
20.2
30
8,737
male
white
en
20-29
78.4
3,840
2,160
35.12
25
8,738
female
white
en
30-39
34.3
3,840
2,160
22.77
24
8,739
female
asian
en
20-29
5.4
1,920
1,080
33.2
30
8,740
female
asian
en
20-29
7.6
1,920
1,080
39.27
30
8,741
female
asian
en
20-29
7.8
1,920
1,080
51.3
30
8,742
female
asian
en
20-29
9.4
1,920
1,080
54.27
30
8,743
female
asian
en
20-29
4.1
1,920
1,080
28.53
30
8,744
female
asian
en
20-29
10.3
1,920
1,080
64.5
30
8,745
male
white
en
30-39
104.9
3,840
2,160
33.45
24
8,746
male
white
en
30-39
45.3
3,840
2,160
23.23
24
8,747
female
asian
en
20-29
94.3
3,840
2,160
24.67
60
8,748
male
white
hi
30-39
47.5
3,840
2,160
27.83
30
8,749
male
white
en
30-39
31.7
3,840
2,160
30.61
24
8,750
female
white
en
20-29
10.6
1,920
1,080
21.39
30
8,751
female
white
en
20-29
11.4
1,920
1,080
21.55
30
8,752
female
white
en
20-29
15.4
1,920
1,080
28.13
30
8,753
female
white
en
20-29
10.9
1,920
1,080
25.06
30
8,754
female
white
en
20-29
11.9
1,920
1,080
27.13
30
8,755
female
white
en
20-29
8.8
1,920
1,080
22.09
30
8,756
female
white
en
20-29
9.9
1,920
1,080
25.33
30
8,757
female
asian
en
20-29
42.7
3,840
2,160
27.48
25
8,758
male
white
en
30-39
21.4
1,920
1,080
60.81
24
8,759
male
white
en
30-39
7.1
1,920
1,080
22.86
24
8,760
male
white
en
30-39
16.9
1,920
1,080
47.3
24
8,761
male
white
en
40-49
25.9
1,920
1,080
63.44
24
8,762
male
white
en
40-49
28.3
1,920
1,080
67.03
24
8,763
male
asian
en
20-29
81.3
3,840
2,160
28.11
24
8,764
male
asian
en
20-29
105.6
3,840
2,160
37.54
24
8,765
male
asian
en
20-29
123.6
3,840
2,160
30.5
24
8,766
male
asian
en
20-29
142.5
3,840
2,160
33.79
24
8,767
male
white
en
40-49
88.8
3,840
2,160
33.7
30
8,768
male
white
en
30-39
13.3
1,920
1,080
35.74
24
8,769
male
white
en
30-39
12.3
1,920
1,080
30.91
24
8,770
male
white
en
30-39
8.6
1,920
1,080
20.9
24
8,771
male
white
en
30-39
8.6
1,920
1,080
22.86
24
8,772
male
white
en
30-39
9.5
1,920
1,080
26.28
24
8,773
male
white
en
30-39
40.3
3,840
2,160
25.42
24
8,774
male
white
en
30-39
39.9
3,840
2,160
25.04
24
8,775
female
white
en
20-29
100.9
3,840
2,160
51.25
30
8,776
female
white
en
20-29
57.5
3,840
2,160
30.73
30
8,777
female
white
en
20-29
63.6
3,840
2,160
31.93
30
8,778
female
white
en
20-29
77.8
3,840
2,160
45.31
30
8,779
female
white
en
20-29
74.6
3,840
2,160
39.27
30
8,780
female
white
en
20-29
87.6
3,840
2,160
44.91
30
8,781
male
asian
en
20-29
47.8
1,920
1,080
117.74
24
8,782
female
asian
en
20-29
6.9
1,920
1,080
25.89
30
8,783
female
white
en
20-29
13.4
1,920
1,080
28.13
30
8,784
female
white
en
20-29
23.5
1,920
1,080
41.61
30
8,785
female
white
en
20-29
55.8
1,920
1,080
111.74
30
8,786
female
white
en
20-29
18.4
1,920
1,080
37.64
30
8,787
female
white
en
20-29
19.1
1,920
1,080
40.24
30
8,788
female
white
en
20-29
52.8
1,920
1,080
100.93
30
8,789
male
white
en
30-39
9.7
1,920
1,080
32.4
25
8,790
male
white
en
30-39
16.2
1,920
1,080
53.48
25
8,791
male
white
en
30-39
8.1
1,920
1,080
26.16
25
8,792
male
white
en
30-39
19.9
1,920
1,080
65.76
25