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
4,968
male
white
en
30-39
52.6
3,840
2,160
30.8
60
4,969
female
asian
en
20-29
13.8
1,920
1,080
30.5
30
4,970
male
white
en
20-29
207.8
3,840
2,160
176.22
24
4,971
male
white
en
30-39
29.8
1,920
1,080
64.36
25
4,972
female
white
en
20-29
47.9
3,840
2,160
22.36
25
4,973
female
white
en
20-29
166.1
3,840
2,160
74.92
25
4,974
female
white
en
20-29
113.3
3,840
2,160
49.68
25
4,975
female
white
en
20-29
83.4
3,840
2,160
45.36
25
4,976
male
white
en
30-39
53.4
3,840
2,160
21.31
24
4,977
male
white
en
30-39
66.5
3,840
2,160
27.74
24
4,978
male
white
en
30-39
56.3
3,840
2,160
20.56
24
4,979
male
white
en
20-29
5.9
1,920
1,080
35.7
30
4,980
male
white
en
20-29
5.9
1,920
1,080
35.7
30
4,981
male
white
en
20-29
8.5
1,920
1,080
49.82
30
4,982
male
white
en
20-29
8.9
1,920
1,080
48.72
30
4,983
male
asian
en
30-39
30.4
3,840
2,160
21.42
30
4,984
female
white
en
30-39
66.3
1,920
1,080
117.08
30
4,985
female
white
en
30-39
14.3
1,920
1,080
26.73
30
4,986
female
asian
en
30-39
62.1
1,920
1,080
88.96
24
4,987
female
asian
en
30-39
45.3
1,920
1,080
70.15
24
4,988
female
asian
en
30-39
20.2
1,920
1,080
28.82
24
4,989
female
asian
en
30-39
26
1,920
1,080
39.66
24
4,990
female
asian
en
30-39
16.2
1,920
1,080
24.77
24
4,991
male
white
en
20-29
63.5
1,920
1,080
83.77
30
4,992
male
white
en
30-39
342.9
3,840
2,160
116.2
25
4,993
male
white
en
30-39
250.1
3,840
2,160
83.88
25
4,994
male
white
en
30-39
106.9
3,840
2,160
35.76
25
4,995
male
white
en
30-39
61.8
3,840
2,160
20.8
25
4,996
male
black
en
20-29
5.1
1,920
1,080
23.64
25
4,997
male
black
en
20-29
4.9
1,920
1,080
22.2
25
4,998
male
black
en
20-29
6.7
1,920
1,080
32.49
24
4,999
male
asian
en
30-39
13.5
1,920
1,080
22.33
60
5,000
male
asian
en
30-39
15.6
1,920
1,080
27.68
60
5,001
male
asian
en
30-39
21.7
1,920
1,080
39.12
60
5,002
male
white
en
20-29
48.6
1,920
1,080
178.76
24
5,003
male
white
en
30-39
62.6
3,840
2,160
45.55
30
5,004
male
white
en
30-39
32.4
3,840
2,160
22.72
30
5,005
male
white
en
40-49
48.1
3,840
2,160
21.82
30
5,006
male
white
en
40-49
51.9
3,840
2,160
24.09
30
5,007
male
white
en
40-49
60.3
3,840
2,160
26.73
30
5,008
female
asian
en
20-29
26.5
1,920
1,080
40.6
25
5,009
female
asian
en
20-29
13.4
1,920
1,080
21.2
25
5,010
female
asian
en
20-29
23.1
1,920
1,080
32.76
25
5,011
female
black
ru
10-19
16.4
1,920
1,080
25.23
30
5,012
male
asian
en
20-29
83.4
3,840
2,160
25.71
59.9
5,013
male
asian
en
20-29
224.5
3,840
2,160
70.42
59.9
5,014
male
asian
en
20-29
86.9
3,840
2,160
28.33
59.9
5,015
male
white
en
40-49
16.3
1,920
1,080
55.63
30
5,016
male
white
en
40-49
12
1,920
1,080
46.93
30
5,017
female
white
en
60-69
32.5
3,840
2,160
20.69
30
5,018
female
white
en
60-69
45.8
3,840
2,160
31.43
30
5,019
male
white
en
30-39
150.4
3,840
2,160
80.96
25
5,020
male
white
en
30-39
102
3,840
2,160
55.04
25
5,021
male
asian
en
30-39
38.4
3,840
2,160
28.19
24
5,022
male
asian
en
30-39
34.5
3,840
2,160
25.86
24
5,023
male
white
en
20-29
56.6
1,920
1,080
125.76
25
5,024
male
black
en
30-39
80.1
3,840
2,160
48.8
24
5,025
male
asian
en
20-29
23.4
1,920
1,080
59.64
25
5,026
male
white
en
30-39
66.7
3,840
2,160
47.4
25
5,027
male
white
en
20-29
59
3,840
2,160
42.79
24
5,028
male
white
en
20-29
33.8
3,840
2,160
30.16
24
5,029
female
white
en
20-29
59
3,840
2,160
25.53
24
5,030
female
white
en
30-39
20.1
1,920
1,080
35.17
30
5,031
female
white
en
30-39
36.1
1,920
1,080
63.7
30
5,032
male
white
en
30-39
12.4
1,920
1,080
21.23
30
5,033
male
white
en
30-39
48.5
3,840
2,160
30.11
24
5,034
male
white
en
30-39
62.7
3,840
2,160
25.9
24
5,035
male
asian
id
20-29
28
3,840
2,160
25.08
25
5,036
male
asian
id
20-29
27.9
3,840
2,160
21.84
25
5,037
male
white
en
20-29
40.5
3,840
2,160
41.88
25
5,038
male
white
en
20-29
24.3
3,840
2,160
23.04
25
5,039
male
white
en
20-29
20.4
3,840
2,160
23.28
25
6,985
male
white
en
30-39
154.4
3,840
2,160
53.8
24
5,041
male
white
en
30-39
253
3,840
2,160
42.31
30
5,042
female
white
en
70+
49.4
1,920
1,080
63.53
30
5,043
female
asian
en
20-29
9.4
1,920
1,080
31.32
25
5,044
female
asian
en
20-29
7.9
1,920
1,080
25.24
25
5,045
female
asian
en
20-29
7.7
1,920
1,080
21.56
25
5,046
female
asian
en
20-29
15.3
1,920
1,080
30.72
25
5,047
female
asian
en
20-29
10.2
1,920
1,080
33.52
25
5,048
female
asian
en
20-29
7.6
1,920
1,080
27.28
25
5,049
female
asian
en
20-29
14.1
1,920
1,080
45.36
25
5,050
female
white
en
20-29
9.3
1,920
1,080
27.19
30
5,051
female
white
en
20-29
11
1,920
1,080
29.9
30
5,052
female
white
en
20-29
8.8
1,920
1,080
26.73
30
5,053
female
white
en
20-29
29.8
1,920
1,080
89.66
30
5,054
female
white
en
20-29
19.3
1,920
1,080
54.42
30
5,055
female
white
en
20-29
16.3
1,920
1,080
50.25
30
5,056
male
black
en
30-39
28.5
3,840
2,160
23.27
24
5,057
male
white
en
40-49
55.1
1,920
1,080
172.17
24
5,058
male
white
en
40-49
60.3
1,920
1,080
107.48
24
5,059
female
white
en
20-29
76.4
1,920
1,080
178.52
25
5,060
female
white
en
20-29
126.8
1,920
1,080
174.25
24
5,061
female
white
en
30-39
55.3
3,840
2,160
22.83
30
5,062
male
white
en
50-59
55.2
3,840
2,160
32.16
24
5,063
female
white
en
30-39
65.4
1,920
1,080
136.3
30
5,064
female
white
en
30-39
18
1,920
1,080
34.67
30
5,065
male
white
en
30-39
24.8
1,920
1,080
55.12
30
5,066
male
white
en
30-39
9.3
1,920
1,080
20.22
30
5,067
male
white
en
50-59
25
3,840
2,160
21.29
24