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
8,893
male
black
en
30-39
72.7
3,840
2,160
30.03
24
8,894
male
white
en
20-29
88.1
3,840
2,160
58.76
30
8,895
male
white
en
20-29
119.3
3,840
2,160
69.27
30
8,896
female
white
en
20-29
10.7
1,920
1,080
27.12
25
8,897
female
white
en
20-29
11.7
1,920
1,080
29.76
25
8,898
female
white
en
20-29
43.9
1,920
1,080
130.28
25
8,899
female
white
en
20-29
61.2
1,920
1,080
178.24
25
8,900
female
asian
en
20-29
22.3
2,560
1,440
24.22
60
8,901
female
asian
en
20-29
20.3
2,560
1,440
23.27
60
8,902
female
asian
en
20-29
38.5
2,560
1,440
43.67
60
8,903
female
asian
en
20-29
54.3
2,560
1,440
61.48
60
8,904
male
black
en
30-39
74.9
3,840
2,160
32.17
24
8,905
male
white
en
40-49
189.3
3,840
2,160
43.64
30
8,906
male
white
en
30-39
19
1,920
1,080
49.59
24
8,907
female
asian
en
20-29
428.7
3,840
2,160
173.28
25
8,908
female
asian
en
20-29
55.2
3,840
2,160
23.52
25
8,909
female
asian
en
20-29
86.1
3,840
2,160
34.56
25
8,910
male
white
en
30-39
64.4
3,840
2,160
39.61
30
8,911
male
white
en
30-39
47.1
3,840
2,160
30.36
30
8,912
male
white
en
30-39
41.4
3,840
2,160
25.93
30
8,913
male
white
en
30-39
105
3,840
2,160
66.17
30
8,914
male
white
en
30-39
84.2
3,840
2,160
52.25
30
8,915
male
white
en
30-39
49.6
3,840
2,160
30.03
30
8,916
female
white
en
20-29
29.6
1,920
1,080
73.21
30
8,917
male
white
en
20-29
16.5
1,920
1,080
31.92
25
8,918
male
white
en
20-29
32
3,840
2,160
31.43
30
8,919
male
white
en
20-29
54.6
3,840
2,160
41.14
30
8,920
male
white
en
20-29
104.6
3,840
2,160
83.68
30
8,921
male
white
en
20-29
45.3
3,840
2,160
32.43
30
8,922
male
white
en
20-29
58.5
3,840
2,160
46.15
30
8,923
female
indian
en
10-19
16.1
1,920
1,080
25
25
8,924
female
indian
en
10-19
24.4
1,920
1,080
38.76
25
8,925
male
white
en
70+
48.8
3,840
2,160
29.93
30
8,926
male
white
en
70+
59.9
3,840
2,160
37.7
30
8,927
male
white
en
70+
40
3,840
2,160
24.59
30
8,928
male
white
en
30-39
116.9
3,840
2,160
37.8
30
8,929
male
white
en
30-39
70.2
3,840
2,160
25.69
30
8,930
male
white
en
30-39
85.9
3,840
2,160
31.23
30
8,931
male
white
en
50-59
7.9
1,920
1,080
46.08
25
8,932
male
white
en
50-59
4.3
1,920
1,080
27.12
25
8,933
male
white
en
50-59
4.5
1,920
1,080
28.92
25
8,934
male
white
en
50-59
3.3
1,920
1,080
22.08
25
8,935
male
white
en
30-39
40.5
3,840
2,160
21.62
30
8,936
male
white
en
30-39
16.4
1,920
1,080
25.43
30
8,937
male
asian
en
20-29
15.5
1,920
1,080
27.23
30
8,938
female
black
en
30-39
41.2
3,840
2,160
24.02
24
8,939
male
white
en
30-39
7.4
1,920
1,080
20.6
30
8,940
male
white
en
30-39
11.5
1,920
1,080
31.6
30
8,941
male
white
en
20-29
40
1,920
1,080
70.14
30
8,942
male
white
en
20-29
91.3
1,920
1,080
178.14
30
8,943
male
white
en
20-29
48.2
3,840
2,160
31.45
24
8,944
male
white
en
20-29
39.6
3,840
2,160
41.79
24
8,945
male
white
en
20-29
79.1
3,840
2,160
74.45
24
8,946
male
white
en
20-29
36.8
3,840
2,160
34.2
24
8,947
male
white
en
20-29
86.9
3,840
2,160
84.92
24
8,948
male
white
en
20-29
97.5
3,840
2,160
69.28
24
8,949
male
white
en
20-29
64.6
3,840
2,160
47.84
24
8,950
male
white
en
20-29
50.5
3,840
2,160
38.87
24
8,951
male
white
en
20-29
154.6
3,840
2,160
112.99
24
8,952
male
black
en
30-39
57.4
3,840
2,160
41.54
24
8,953
male
black
en
30-39
103.5
3,840
2,160
74.57
24
8,954
male
black
en
30-39
245.4
3,840
2,160
178.3
24
8,955
male
asian
en
30-39
30.6
3,840
2,160
20.05
59.9
8,956
female
white
en
20-29
18.5
1,920
1,080
35.84
25
8,957
female
white
en
20-29
16.4
1,920
1,080
26.84
25
8,958
female
white
en
20-29
29.8
1,920
1,080
39.03
30
8,959
female
white
en
20-29
67.7
1,920
1,080
57.53
30
8,960
female
white
en
20-29
13.8
1,920
1,080
20.5
30
8,961
female
white
en
20-29
14.3
1,920
1,080
24.63
30
8,962
female
white
en
20-29
19.5
1,920
1,080
33.53
30
8,963
male
white
en
20-29
28.9
3,840
2,160
20.52
24
8,964
male
asian
en
20-29
216.5
3,840
2,160
174.63
24
8,965
male
asian
en
20-29
50.1
3,840
2,160
38.5
24
8,966
female
white
en
30-39
12.5
1,920
1,080
22.32
30
8,967
female
asian
en
30-39
111.6
3,840
2,160
64.65
24
8,968
female
asian
en
30-39
62.9
3,840
2,160
37.25
24
8,969
female
asian
en
30-39
39
3,840
2,160
22.86
24
8,970
female
asian
en
30-39
85.9
3,840
2,160
59.52
24
8,971
female
asian
en
30-39
45.4
3,840
2,160
30.36
24
8,972
female
asian
en
30-39
157.3
3,840
2,160
105.31
24
8,973
female
asian
en
30-39
53.3
3,840
2,160
35.49
24
8,974
male
white
en
20-29
44.6
3,840
2,160
21.12
30
8,975
male
white
en
20-29
83.8
3,840
2,160
40.84
30
8,976
male
white
en
20-29
126.5
3,840
2,160
61.16
30
8,977
male
white
en
20-29
58.8
3,840
2,160
27.89
30
8,978
male
white
en
20-29
45.6
3,840
2,160
22.62
30
8,979
female
black
en
20-29
62.6
1,920
1,080
162.68
25
8,980
male
white
en
30-39
68.5
1,920
1,080
67.87
30
8,981
male
white
en
30-39
109.6
1,920
1,080
97.96
30
8,982
male
white
en
30-39
62.8
1,920
1,080
69.97
30
8,983
male
white
en
30-39
50.6
3,840
2,160
20.9
24
8,984
male
white
en
30-39
78.2
3,840
2,160
27.49
30
8,985
male
white
en
30-39
71.4
3,840
2,160
31.7
24
8,986
male
white
en
30-39
36.2
1,920
1,080
33.47
30
8,987
male
white
en
50-59
375.4
3,840
2,160
141.37
30
8,988
male
white
en
50-59
339.7
3,840
2,160
131.23
30
8,989
male
white
en
50-59
286
3,840
2,160
103.62
24
8,990
male
white
en
50-59
97.4
3,840
2,160
38.79
24
8,991
female
white
en
30-39
8.6
1,920
1,080
23.63
30
8,992
female
white
en
30-39
58
1,920
1,080
169.2
30