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
46,786
male
white
bg
30-39
38.2
3,840
2,160
24.32
60
46,787
male
white
ru
30-39
35.1
3,840
2,160
25.8
25
46,788
male
white
bg
30-39
97.5
1,920
1,080
112.57
60
46,789
female
black
ro
30-39
38.6
1,920
1,080
27.43
60
46,790
male
white
bg
20-29
26.7
1,920
1,080
51.27
60
46,791
male
white
bg
30-39
46.7
3,840
2,160
25.49
30
46,792
male
white
bg
30-39
38.3
3,840
2,160
20.19
30
46,793
male
white
bg
30-39
52.2
3,840
2,160
25.93
30
46,794
male
white
bg
30-39
41.8
3,840
2,160
20.29
30
46,795
male
white
bg
30-39
58.1
3,840
2,160
29.2
30
46,796
male
white
bg
30-39
90.8
3,840
2,160
47.11
30
46,797
male
white
bg
30-39
41.4
3,840
2,160
20.12
30
46,798
male
white
mk
30-39
292.4
3,840
2,160
164.64
25
46,799
male
white
mk
30-39
58.5
3,840
2,160
34.28
25
46,800
male
white
mk
30-39
50
3,840
2,160
26.52
25
46,801
male
white
mk
30-39
108.5
3,840
2,160
50.28
25
46,802
male
white
mk
30-39
302.9
3,840
2,160
159
25
46,803
male
white
bg
30-39
11.5
1,920
1,080
24.48
25
46,804
male
white
et
30-39
36.4
1,920
1,080
60.12
25
46,805
male
white
ru
20-29
44.3
1,920
1,080
69.72
60
46,806
female
white
bg
20-29
11.8
1,920
1,080
25.96
25
46,807
male
white
ru
30-39
42
3,840
2,160
25.24
25
46,808
male
white
ru
30-39
48.7
3,840
2,160
34.8
25
46,809
male
white
bg
20-29
130
3,840
2,160
86.42
60
46,810
male
white
bg
20-29
43.6
3,840
2,160
28.52
60
46,811
male
white
bg
20-29
37
3,840
2,160
24.97
60
46,812
male
asian
bg
20-29
28.1
1,920
1,080
20.05
60
46,813
male
asian
bg
20-29
29.6
1,920
1,080
21.08
60
46,814
male
asian
bg
20-29
36.6
1,920
1,080
26.35
60
46,815
male
white
bg
30-39
42.9
3,840
2,160
21.02
60
46,816
male
white
bg
30-39
43.3
3,840
2,160
22.27
60
46,817
male
white
sk
30-39
25.9
1,920
1,080
27.28
24
46,818
male
white
sk
30-39
21.4
1,920
1,080
24.02
24
46,819
male
white
en
30-39
28
1,920
1,080
40.68
25
46,820
male
white
bg
20-29
46.5
3,840
2,160
21.02
60
46,821
male
white
bg
20-29
50.6
3,840
2,160
24.07
60
46,822
male
indian
bg
20-29
35.3
1,920
1,080
48.3
30
46,823
male
indian
bg
20-29
63.6
1,920
1,080
86.43
30
46,824
male
indian
bg
20-29
43.2
1,920
1,080
63.7
30
46,825
male
white
bg
20-29
35
3,840
2,160
20.28
25
46,826
male
white
bg
20-29
51.8
3,840
2,160
32.52
25
46,827
male
white
bg
20-29
107.6
3,840
2,160
65.64
25
46,828
male
white
bg
20-29
38.5
3,840
2,160
25.44
25
46,829
male
white
bg
20-29
57.5
3,840
2,160
38.28
25
46,830
male
white
bg
20-29
58.5
3,840
2,160
35.24
25
46,831
female
white
hr
20-29
24.9
1,920
1,080
27.6
25
46,832
male
asian
tl
20-29
26.4
1,920
1,080
61.83
30
46,833
female
black
tl
30-39
30.8
1,920
1,080
47.87
30
46,834
male
asian
tl
20-29
22.8
1,920
1,080
36.6
25
46,835
male
asian
en
30-39
30.7
1,920
1,080
55.9
30
46,836
male
asian
en
30-39
48.9
1,920
1,080
88.93
30
46,837
male
asian
en
30-39
13
1,920
1,080
24.33
30
46,838
male
asian
en
30-39
33.8
1,920
1,080
74.03
30
46,841
male
asian
tl
20-29
17.5
1,920
1,080
28.83
30
46,842
female
asian
tl
20-29
19.4
1,920
1,080
41.07
30
46,843
female
asian
tl
20-29
14.3
1,920
1,080
28.43
30
46,844
female
asian
tl
20-29
11.1
1,920
1,080
22.62
30
46,845
female
asian
tl
20-29
11.9
1,920
1,080
25.13
30
46,846
female
asian
tl
20-29
38.2
1,920
1,080
76.41
30
46,847
male
asian
tl
20-29
44.5
1,920
1,080
93.83
30
46,848
male
asian
tl
20-29
46.7
1,920
1,080
86.7
30
46,849
male
asian
tl
20-29
26
1,920
1,080
48.87
30
46,850
male
asian
tl
20-29
26.9
1,920
1,080
38.57
30
46,851
male
asian
tl
20-29
19.2
1,920
1,080
32.8
30
46,852
male
asian
tl
20-29
102.4
1,920
1,080
178.47
30
46,853
male
asian
tl
20-29
16.3
1,920
1,080
30.87
30
46,854
male
asian
tl
20-29
19.6
1,920
1,080
45.75
24
46,855
male
asian
tl
20-29
13.8
1,920
1,080
32.28
24
46,856
male
asian
en
30-39
105.7
1,920
1,080
147.97
60
46,857
male
asian
en
30-39
70.8
1,920
1,080
102.63
60
46,858
male
asian
en
30-39
118.7
1,920
1,080
162.8
60
46,859
male
asian
en
30-39
115.5
1,920
1,080
157.12
60
46,860
male
asian
en
30-39
43.2
1,920
1,080
64.48
60
46,861
male
white
en
20-29
49.6
3,840
2,160
24.06
30
46,862
male
white
en
20-29
70.6
3,840
2,160
20.29
30
46,863
male
white
en
20-29
31.4
3,840
2,160
23.59
30
46,864
male
white
en
20-29
41.9
3,840
2,160
31.3
30
46,865
male
white
en
20-29
64.7
3,840
2,160
49.12
30
46,866
male
white
en
20-29
26.8
3,840
2,160
21.49
30
46,867
male
white
en
20-29
41.6
3,840
2,160
32.1
30
46,868
male
asian
tl
20-29
11.1
1,280
720
63.56
30
46,869
male
asian
tl
20-29
12.9
1,280
720
71.37
30
46,870
male
asian
tl
20-29
19.8
1,920
1,080
25.9
30
46,871
male
asian
tl
20-29
42.4
1,920
1,080
84.12
24
46,872
female
asian
en
20-29
53.5
3,840
2,160
28.62
60
46,873
female
asian
en
20-29
80.9
3,840
2,160
45.57
60
46,874
male
asian
tl
20-29
18
1,920
1,080
41.23
30
46,875
male
asian
tl
20-29
52.4
1,920
1,080
80.07
30
46,876
male
asian
tl
20-29
47.2
1,920
1,080
67.07
30
46,877
male
asian
tl
20-29
23.1
1,920
1,080
35.57
30
46,878
male
asian
tl
20-29
27.2
1,920
1,080
43.43
30
46,879
male
asian
tl
20-29
94.8
1,920
1,080
147.2
30
46,880
male
asian
tl
20-29
35.5
1,920
1,080
59.63
30
46,881
male
asian
tl
20-29
18.4
1,920
1,080
30.03
30
46,882
female
asian
en
30-39
29.3
1,920
1,080
65.27
30
46,883
female
asian
en
30-39
45.3
1,920
1,080
103.9
30
46,884
female
asian
en
30-39
49.9
1,920
1,080
112.81
30
46,885
female
asian
en
30-39
25.1
1,920
1,080
57.56
30
46,886
female
asian
en
30-39
13.7
1,920
1,080
33.43
30
46,887
female
asian
tl
20-29
6.2
1,906
1,080
23.53
30