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
7,693
female
white
en
40-49
34.9
1,920
1,080
81.36
25
7,694
female
asian
en
20-29
9.7
1,920
1,080
20.23
30
7,695
male
black
en
50-59
52.5
1,920
1,080
48.15
30
7,696
male
black
en
50-59
53.6
1,920
1,080
49.75
30
7,697
male
white
en
30-39
15.9
1,920
1,080
25.63
30
7,698
female
white
en
20-29
67.2
1,920
1,080
111.03
30
7,699
female
white
en
20-29
67.8
1,920
1,080
104.73
30
7,700
female
white
en
20-29
11.1
1,920
1,080
20.23
30
7,701
male
white
en
50-59
36.5
3,840
2,160
23.57
60
7,702
female
white
en
20-29
77
1,920
1,080
177.88
30
7,703
male
white
en
20-29
273.2
3,840
2,160
115.13
30
7,704
male
white
en
20-29
372.7
3,840
2,160
170.93
30
7,705
male
white
en
20-29
44.4
3,840
2,160
28.36
24
7,706
male
white
en
30-39
21.7
1,920
1,080
80.16
25
7,707
male
white
en
30-39
13.3
1,920
1,080
50.52
25
7,708
male
white
en
30-39
9.5
1,920
1,080
36
25
7,709
male
white
en
30-39
7.4
1,920
1,080
28.08
25
7,710
male
white
en
30-39
5.5
1,920
1,080
21.48
25
7,711
male
white
en
30-39
6.1
1,920
1,080
22
25
7,712
male
asian
en
20-29
32.8
3,840
2,160
22.99
30
7,713
male
asian
en
20-29
43.8
3,840
2,160
24.26
30
7,714
male
asian
en
20-29
62.5
3,840
2,160
33.4
30
7,715
male
asian
en
20-29
90.6
3,840
2,160
51.38
30
7,716
male
asian
en
20-29
43
3,840
2,160
23.09
30
7,717
male
asian
en
20-29
77.1
3,840
2,160
43.64
30
7,718
male
asian
en
20-29
42.8
3,840
2,160
25.13
30
7,719
female
white
en
30-39
54.2
3,840
2,160
29.49
24
7,720
female
white
en
30-39
57.6
3,840
2,160
30.53
24
7,721
female
white
en
30-39
74.5
3,840
2,160
38.87
24
7,722
female
white
en
30-39
152
3,840
2,160
79.45
24
7,723
male
white
en
40-49
127.9
3,840
2,160
54.05
24
7,724
male
white
en
40-49
87.4
3,840
2,160
38.54
24
7,725
male
white
en
40-49
49.6
3,840
2,160
21.4
24
7,726
male
white
en
40-49
105.5
3,840
2,160
43.42
24
7,727
female
asian
en
20-29
18.3
1,920
1,080
45
25
7,728
female
white
en
20-29
186.9
3,840
2,160
78.78
30
7,729
female
white
en
20-29
288.1
3,840
2,160
126.56
30
7,730
male
asian
en
20-29
42.9
3,840
2,160
27.11
24
7,731
male
white
en
30-39
56.9
3,840
2,160
22.42
30
7,732
male
white
en
30-39
49.5
3,840
2,160
32.49
24
7,733
male
white
en
30-39
32.1
3,840
2,160
21.48
24
7,734
male
white
en
30-39
77.9
3,840
2,160
53.18
24
7,735
male
white
en
30-39
65.9
3,840
2,160
33.48
59.9
7,736
male
white
en
30-39
90
3,840
2,160
47.05
59.9
7,737
male
white
en
30-39
134.2
3,840
2,160
26.61
59.9
7,738
male
white
en
30-39
46.9
3,840
2,160
24.02
59.9
7,739
male
white
en
30-39
73.1
3,840
2,160
35.34
59.9
7,740
male
white
en
30-39
46.2
3,840
2,160
26.61
59.9
7,741
male
white
en
30-39
54.1
3,840
2,160
26.33
59.9
7,742
male
white
en
30-39
62.9
3,840
2,160
31.08
59.9
7,743
male
white
sv
40-49
27.5
3,840
2,160
26.19
30
7,744
male
white
sv
40-49
32.5
3,840
2,160
28.73
30
7,745
male
white
sv
40-49
51.3
3,840
2,160
56.32
30
7,746
male
white
en
30-39
23.4
1,920
1,080
56.3
30
7,747
male
white
en
30-39
109.4
3,840
2,160
43.51
30
7,748
male
white
cy
30-39
118.9
3,840
2,160
41.12
50
7,749
male
white
en
30-39
11.7
1,920
1,080
27.4
25
7,750
male
white
en
30-39
21.4
1,920
1,080
46.04
25
7,751
male
white
en
30-39
12
1,920
1,080
25.48
25
7,752
male
white
en
30-39
9.7
1,920
1,080
21.12
25
7,753
male
white
en
40-49
36.1
3,840
2,160
22.04
24
7,754
male
white
en
30-39
51.8
3,840
2,160
24.15
24
7,755
female
black
en
30-39
36
1,920
1,080
64.63
30
7,756
female
indian
en
30-39
16.6
1,920
1,080
32.93
30
7,757
male
black
en
20-29
78.7
1,920
1,080
170.73
30
7,758
female
asian
en
20-29
275.6
3,840
2,160
118.13
30
7,759
female
asian
en
20-29
101.4
3,840
2,160
41.87
30
7,760
female
asian
en
20-29
241.8
3,840
2,160
103.93
30
7,761
male
white
en
50-59
47.6
3,840
2,160
41.54
24
7,762
male
white
en
50-59
26.8
3,840
2,160
23.19
24
7,763
male
white
en
30-39
118.2
3,840
2,160
46.3
24
7,764
male
white
en
30-39
83.1
3,840
2,160
37.04
24
7,765
male
white
en
30-39
71.6
3,840
2,160
26.86
24
7,766
male
white
en
30-39
110.8
3,840
2,160
43.17
24
7,767
female
asian
en
20-29
28.6
1,920
1,080
58.17
30
7,768
female
asian
en
20-29
57.5
1,920
1,080
119.07
30
7,769
female
asian
en
20-29
41
1,920
1,080
92.13
30
7,770
female
asian
en
20-29
24.3
1,920
1,080
53.9
30
7,771
male
white
en
20-29
6.3
1,920
1,080
35.38
24
7,772
male
asian
en
20-29
45.9
3,840
2,160
30.6
25
7,773
male
asian
en
20-29
51.8
3,840
2,160
27.84
25
7,774
male
asian
en
20-29
42.6
3,840
2,160
20.28
25
7,775
male
white
en
50-59
66.7
1,920
1,080
73.48
60
7,776
male
white
en
30-39
22.3
3,840
2,160
20.77
24
7,777
female
white
en
20-29
35.9
1,920
1,080
54.62
30
7,778
female
white
en
20-29
19.4
1,920
1,080
34.77
30
7,779
male
white
en
60-69
20.1
1,920
1,080
27.73
30
7,780
male
white
en
30-39
102.6
3,840
2,160
54.23
30
7,781
male
white
en
30-39
57.5
1,920
1,080
135.26
24
7,782
male
white
en
30-39
73.5
1,920
1,080
168.67
24
7,783
male
white
en
20-29
56.3
3,840
2,160
23.84
25
7,784
male
white
en
20-29
101.2
3,840
2,160
42.08
25
7,785
male
white
en
20-29
81.7
3,840
2,160
34.44
25
7,786
male
white
en
30-39
41.8
3,840
2,160
29.15
24
7,787
male
white
en
30-39
39
3,840
2,160
26.11
24
7,788
male
white
en
30-39
39.7
3,840
2,160
26.03
24
7,789
male
white
en
30-39
34
3,840
2,160
23.12
30
7,790
male
white
en
30-39
38.4
3,840
2,160
24.49
30
7,791
male
white
en
30-39
30.8
3,840
2,160
23.02
30
7,792
male
white
en
30-39
67.5
3,840
2,160
33.17
30