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
24,906
female
asian
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20-29
26.3
1,280
720
70.87
30
24,907
female
black
es
30-39
15.3
1,920
1,080
26.26
30
24,908
female
white
en
20-29
33.9
1,920
1,080
69.36
25
24,909
female
white
en
20-29
27
1,920
1,080
55.68
25
24,910
female
white
en
20-29
17.9
1,920
1,080
47.12
25
24,911
female
white
en
20-29
12.4
1,920
1,080
29.08
25
24,912
female
white
en
20-29
10.2
1,920
1,080
27.4
25
24,913
female
white
en
20-29
12.4
1,920
1,080
31.16
25
24,914
male
black
en
30-39
54.7
3,840
2,160
34.12
24
24,915
female
white
en
30-39
28.5
1,920
1,080
35.36
50
24,916
female
white
en
20-29
11.6
1,920
1,080
23.62
30
24,917
female
white
en
20-29
32.2
1,920
1,080
61.66
30
24,918
female
white
en
20-29
21.9
1,920
1,080
40.51
30
24,919
female
white
en
20-29
16.5
1,920
1,080
28.83
30
24,920
female
white
en
20-29
24.8
1,920
1,080
44.11
30
24,921
female
white
en
20-29
13
1,920
1,080
24.42
30
24,922
female
white
en
20-29
15.1
1,920
1,080
27.63
30
24,923
female
white
en
20-29
13.4
1,920
1,080
23.71
59.9
24,924
female
white
en
20-29
24.9
1,920
1,080
44.39
59.9
24,925
female
white
en
20-29
61.7
1,920
1,080
165.12
24
24,926
female
white
en
20-29
17.1
1,920
1,080
32.78
24
24,927
female
white
en
20-29
20.1
1,920
1,080
47.92
24
24,928
female
white
en
20-29
87.6
1,920
1,080
176.72
24
24,929
female
white
en
20-29
55.4
1,920
1,080
115.62
24
24,930
male
white
cs
30-39
40.3
3,840
2,160
38.76
25
24,931
male
white
cs
30-39
46.2
3,840
2,160
39.96
25
24,932
male
white
cs
30-39
55.1
3,840
2,160
49.08
25
24,933
male
white
cs
30-39
146.3
3,840
2,160
121.8
25
24,934
male
white
cs
30-39
49.3
3,840
2,160
43.8
25
24,935
male
white
cs
30-39
75
3,840
2,160
66.48
25
24,936
male
white
cs
30-39
159.1
3,840
2,160
139.32
25
24,937
male
white
cs
30-39
45.2
3,840
2,160
35.76
25
24,938
female
white
cs
20-29
64.9
1,920
1,080
177.88
25
24,939
female
white
cs
20-29
10.4
1,920
1,080
28.2
25
24,940
female
white
cs
20-29
42.1
1,920
1,080
103.52
25
24,941
female
white
cs
20-29
19.1
1,920
1,080
46.08
25
24,942
female
white
cs
20-29
49.9
1,920
1,080
110.12
25
24,943
female
white
ca
20-29
12.8
1,280
720
39.28
25
24,944
female
black
en
30-39
51.5
1,920
1,080
68.39
14.2
24,945
female
black
en
30-39
36.2
1,920
1,080
50.11
14.2
24,946
female
asian
en
20-29
98.1
1,920
1,080
153.15
24
24,947
female
asian
en
20-29
14.6
1,920
1,080
24.69
24
24,948
female
asian
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20-29
87.6
1,920
1,080
140.64
24
24,949
female
asian
en
20-29
56.4
1,920
1,080
85.13
24
24,950
female
asian
en
20-29
42.4
1,920
1,080
62.69
24
24,951
female
asian
en
20-29
27.3
1,920
1,080
43.79
24
24,952
female
asian
en
20-29
21.7
1,920
1,080
34.66
24
24,953
female
asian
en
20-29
35.1
1,920
1,080
57.43
24
24,954
female
asian
en
20-29
18.9
1,920
1,080
30.36
24
24,955
female
white
en
20-29
26
1,920
1,080
47.88
24
24,956
female
white
en
20-29
12.4
1,920
1,080
23.96
24
24,957
female
white
en
20-29
23.4
1,920
1,080
41.54
24
24,958
female
white
en
20-29
18.2
1,920
1,080
31.33
24
24,959
female
white
en
20-29
16.3
1,920
1,080
29
24
24,960
female
white
en
20-29
17
1,920
1,080
31.54
24
24,961
female
asian
en
20-29
36.7
1,280
720
120.92
30
24,962
female
white
en
30-39
46.4
1,920
1,080
120.66
24
24,963
female
white
en
20-29
12.8
1,920
1,080
22.27
59.9
24,964
female
white
en
20-29
15.9
1,920
1,080
29.58
59.9
24,965
female
white
en
20-29
10.4
1,920
1,080
21.3
59.9
24,966
female
white
en
20-29
11.2
1,920
1,080
24.67
59.9
24,967
female
white
en
20-29
12.6
1,920
1,080
25.78
59.9
24,968
female
white
en
20-29
13.4
1,920
1,080
27.56
59.9
24,969
female
white
en
20-29
9.7
1,920
1,080
20.39
59.9
24,970
female
white
pl
30-39
39.6
1,920
1,080
70.32
25
24,971
female
white
pl
30-39
69.5
1,920
1,080
135.08
25
24,972
female
white
pl
30-39
92.5
1,920
1,080
155.6
25
24,973
female
white
pl
30-39
81.7
1,920
1,080
132.6
25
24,974
female
white
cs
20-29
10.4
1,920
1,080
22.88
25
24,975
female
white
cs
20-29
10.4
1,920
1,080
25.68
25
24,976
female
white
en
30-39
11.8
1,920
1,080
29.87
30
24,977
female
white
pl
30-39
26.5
1,920
1,080
60.79
30
24,978
female
white
pl
30-39
18.8
1,920
1,080
35.4
30
24,979
female
white
pl
30-39
10.7
1,920
1,080
20.85
30
24,980
female
white
pl
30-39
35.6
1,920
1,080
71.2
30
24,981
female
white
pl
30-39
19.2
1,920
1,080
43.11
30
24,982
female
white
pl
30-39
10.8
1,920
1,080
20.59
30
24,983
female
white
pl
30-39
18.1
1,920
1,080
26.03
30
24,984
female
asian
en
20-29
15.9
1,920
1,080
40.92
24
24,985
female
white
en
20-29
29.6
1,920
1,080
59.86
30
24,986
female
white
en
20-29
36.6
1,920
1,080
53.95
30
24,987
female
white
en
20-29
47.9
1,920
1,080
70.74
30
24,988
female
white
en
20-29
20.1
1,920
1,080
43.81
30
24,989
female
white
en
20-29
13.2
1,920
1,080
29.33
30
24,990
female
white
en
20-29
33.2
1,920
1,080
75.64
30
24,991
female
white
en
20-29
35.9
1,920
1,080
59.79
30
24,992
female
white
en
20-29
14.2
1,920
1,080
23.59
30
24,993
female
white
en
20-29
34.8
1,920
1,080
61.73
30
24,994
female
white
en
20-29
19.6
1,920
1,080
29.1
30
24,995
female
white
en
20-29
15.2
1,920
1,080
25.63
30
24,996
female
asian
en
10-19
17.2
1,920
1,080
36.14
30
24,997
female
asian
en
10-19
36.9
1,920
1,080
71.77
30
24,998
female
asian
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10-19
8.1
1,920
1,080
21.19
30
24,999
female
asian
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10-19
33.2
1,920
1,080
76.68
30
25,000
female
asian
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10-19
55.2
1,920
1,080
107.71
30
25,001
female
asian
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10-19
67.2
1,920
1,080
126.83
30
25,002
female
asian
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10-19
22.6
1,920
1,080
43.94
30
25,003
female
asian
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10-19
32.1
1,920
1,080
55.19
30
25,004
female
asian
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10-19
17.5
1,920
1,080
36.24
30
25,005
female
white
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20-29
56.8
1,920
1,080
68.16
25