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
44,899
female
asian
pt
30-39
80.3
3,840
2,160
43.27
30
44,900
female
asian
pt
30-39
140.1
3,840
2,160
76.73
30
44,901
female
asian
pt
30-39
327.7
3,840
2,160
178.53
30
44,902
female
asian
pt
30-39
130.8
3,840
2,160
70.23
30
44,903
female
asian
pt
30-39
47.5
3,840
2,160
27.73
30
44,904
female
asian
pt
30-39
37.3
3,840
2,160
20.83
30
44,905
male
white
pt
20-29
17
1,920
1,080
37.84
30
44,906
male
white
pt
20-29
15.9
1,920
1,080
22.97
59.9
44,907
male
black
en
30-39
83.7
3,840
2,160
44.73
59.9
44,908
male
black
en
30-39
101.6
3,840
2,160
51.63
59.9
44,909
male
black
en
30-39
75.3
3,840
2,160
38.37
59.9
44,910
male
black
en
30-39
74.5
3,840
2,160
38.19
59.9
44,911
male
white
en
20-29
7.8
1,920
1,080
21.39
30
44,912
male
white
en
30-39
9.8
1,920
1,080
25.93
30
44,913
male
white
pt
30-39
11.1
1,920
1,080
25.85
60
44,914
female
white
pt
50-59
61.7
1,920
1,080
73.33
30
44,915
female
white
pt
50-59
45.2
1,920
1,080
101.53
30
44,916
female
white
en
30-39
17
1,280
720
104.95
29.9
44,917
male
white
en
20-29
28.5
1,920
1,080
60.13
30
44,918
male
white
pt
30-39
41.9
1,920
1,080
70.56
25
44,919
female
white
pt
20-29
14.8
1,920
1,080
24.92
30
44,920
female
white
pt
20-29
58.6
1,920
1,080
95.86
30
44,921
female
white
pt
20-29
42.9
1,920
1,080
78.85
30
44,922
female
white
pt
20-29
51.1
1,920
1,080
86.55
30
44,923
female
white
pt
20-29
18.3
1,920
1,080
31.93
30
44,924
female
white
pt
20-29
34.1
1,920
1,080
53.89
30
44,925
female
white
pt
20-29
19.4
1,920
1,080
27.39
30
44,926
female
white
pt
20-29
40.4
1,920
1,080
60.53
30
44,927
female
white
pt
20-29
15.8
1,920
1,080
23.46
30
44,928
female
white
pt
20-29
62.3
1,920
1,080
93.09
30
44,929
female
white
pt
20-29
22.4
1,920
1,080
33.4
30
44,930
female
white
pt
20-29
18.3
1,920
1,080
32.7
30
44,931
female
white
pt
20-29
39.6
1,920
1,080
70.14
30
44,932
female
white
pt
20-29
16.2
1,920
1,080
25.89
30
44,933
male
white
pt
20-29
8.3
1,920
1,080
31
30
44,934
male
white
pt
40-49
11.8
1,920
1,080
24.23
30
44,935
male
white
pt
30-39
38.2
3,840
2,160
22.66
59.9
44,936
male
white
pt
30-39
57.7
3,840
2,160
33.83
59.9
44,937
male
white
pt
30-39
42.6
3,840
2,160
25.69
59.9
44,938
male
white
pt
30-39
41.1
3,840
2,160
23.87
59.9
44,939
male
white
pt
30-39
56.7
3,840
2,160
31.08
59.9
44,940
male
white
pt
30-39
84.8
3,840
2,160
49.4
59.9
44,941
male
white
pt
30-39
55
3,840
2,160
29.28
59.9
44,942
male
white
pt
30-39
67.3
3,840
2,160
38.24
59.9
44,943
male
white
pt
30-39
72.8
3,840
2,160
46.95
59.9
44,944
male
white
pt
30-39
57.8
3,840
2,160
34.78
59.9
44,945
male
white
pt
30-39
50.4
3,840
2,160
26.63
59.9
44,946
male
white
pt
30-39
135
3,840
2,160
67.92
59.9
44,947
male
white
pt
40-49
16
1,920
1,080
37.63
30
44,948
male
white
pt
30-39
13.4
1,920
1,080
30.93
30
44,949
male
white
pt
30-39
11.5
1,920
1,080
26.59
30
44,950
male
white
pt
30-39
14
1,920
1,080
30.53
30
44,951
male
white
pt
30-39
13.6
1,920
1,080
32.43
30
44,952
male
white
pt
30-39
59.8
3,840
2,160
51.25
30
44,953
male
white
pt
30-39
30.6
3,840
2,160
24.62
30
44,954
female
black
en
30-39
25.7
1,920
1,080
40.21
30
44,955
female
black
en
30-39
12.6
1,920
1,080
30.23
30
44,956
female
black
en
30-39
13.3
1,920
1,080
31.56
30
44,957
female
black
en
30-39
17.3
1,920
1,080
43.01
30
44,958
female
black
en
30-39
36.8
1,920
1,080
95.5
30
44,959
female
black
en
30-39
16.7
1,920
1,080
33.5
30
44,960
female
black
en
30-39
19.6
1,920
1,080
42.94
30
44,961
male
white
en
20-29
75.3
1,920
1,080
178.05
24
44,962
male
white
en
20-29
12.2
1,920
1,080
29.65
24
44,963
male
white
en
20-29
15.7
1,920
1,080
37.29
24
44,964
male
black
pt
30-39
22.1
3,840
2,160
22.03
30
44,965
male
white
pt
20-29
23.2
3,840
2,160
27.74
24
44,966
female
black
en
20-29
29.3
3,840
2,160
25.23
24
44,967
male
indian
pt
30-39
42.4
1,920
1,080
110.11
30
44,968
male
indian
pt
30-39
27
1,920
1,080
70.67
30
44,969
male
indian
pt
30-39
11.6
1,920
1,080
29.93
30
44,970
male
indian
pt
30-39
22.7
1,920
1,080
58.56
30
44,971
male
asian
en
30-39
68.6
1,920
1,080
158.88
25
44,972
male
asian
en
30-39
30.7
1,920
1,080
72.24
25
44,973
male
white
en
10-19
21.6
1,920
1,080
36.44
30
44,974
male
white
en
10-19
20.2
1,920
1,080
25.49
30
44,975
male
white
en
10-19
27.6
1,920
1,080
38.54
30
44,976
male
white
en
10-19
18.3
1,920
1,080
25.76
30
44,977
male
white
en
10-19
37.6
1,920
1,080
53.12
30
44,978
male
white
en
10-19
29.5
1,920
1,080
38.77
30
44,979
male
white
en
10-19
28.2
1,920
1,080
48.05
30
44,980
male
white
en
10-19
15.4
1,920
1,080
25.66
30
44,981
male
white
en
10-19
57.8
1,920
1,080
87.89
30
44,982
male
white
en
10-19
105.5
1,920
1,080
178.44
30
44,983
female
white
pt
20-29
45.5
1,920
1,080
57.99
30
44,984
female
white
pt
20-29
31.1
1,920
1,080
39.84
30
44,985
female
white
pt
20-29
20.4
1,920
1,080
30.8
30
44,986
male
black
pt
30-39
8.9
1,920
1,080
22.61
24
44,987
male
black
pt
30-39
10.2
1,920
1,080
24.23
24
44,988
male
black
pt
30-39
79
1,920
1,080
178.47
24
44,989
male
black
pt
30-39
87.2
1,920
1,080
178.43
24
44,990
male
white
en
20-29
16.8
1,920
1,080
32.13
30
44,991
male
asian
en
20-29
12
1,920
1,080
29.97
60
44,992
female
white
pt
30-39
13.2
1,920
1,080
22.92
25
44,993
female
white
pt
30-39
12.8
1,920
1,080
24
25
44,994
female
white
pt
30-39
12.1
1,920
1,080
24.92
25
44,995
female
white
pt
30-39
12.1
1,920
1,080
21
25
44,996
female
white
pt
30-39
17.6
1,920
1,080
33.84
25
44,997
female
white
pt
30-39
19.2
1,920
1,080
35.64
25
44,998
female
white
pt
30-39
23.8
1,920
1,080
47.2
25