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
18,769
male
white
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10-19
12.1
1,920
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29.28
25
18,770
male
white
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10-19
14.1
1,920
1,080
30.92
25
18,771
male
white
it
10-19
10.7
1,920
1,080
25.44
25
18,772
female
white
en
20-29
40.4
3,840
2,160
22.96
25
18,773
female
white
en
20-29
36.5
3,840
2,160
20.64
25
18,774
female
white
en
20-29
57
3,840
2,160
26.64
25
18,775
male
black
en
30-39
444.6
3,840
2,160
164.57
30
18,776
male
black
en
30-39
419.4
3,840
2,160
174.73
30
18,777
male
black
en
30-39
229.8
3,840
2,160
88.63
30
18,778
male
white
de
30-39
569.1
3,840
2,160
62.1
30
18,779
male
white
de
30-39
360.3
3,840
2,160
37.93
30
18,780
male
white
it
30-39
513.6
3,840
2,160
76.72
60
18,781
male
white
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30-39
242.7
3,840
2,160
38.67
60
18,782
male
white
en
20-29
41.5
3,840
2,160
27.59
30
18,783
male
white
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30-39
33.6
1,920
1,080
54.05
59.9
18,784
male
white
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30-39
16.6
1,920
1,080
30.56
59.9
22,546
male
asian
ko
20-29
43.3
3,840
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21.02
59.9
18,786
male
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30-39
13.5
1,920
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21.19
30
18,787
male
white
en
30-39
19.4
3,840
2,160
25
24
18,788
male
white
en
30-39
19.4
3,840
2,160
26.29
24
18,789
male
white
en
30-39
34.5
3,840
2,160
41.29
24
18,790
male
white
en
30-39
24.1
3,840
2,160
31.29
24
18,791
male
white
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30-39
42.4
3,840
2,160
26.43
30
18,792
male
white
en
30-39
52.5
3,840
2,160
22.27
24
18,793
male
white
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20-29
45.8
3,840
2,160
23.89
30
18,794
male
white
de
20-29
98.4
3,840
2,160
44.63
30
18,795
male
white
de
20-29
140
3,840
2,160
64.03
30
18,796
male
white
de
20-29
72.6
3,840
2,160
31.03
30
18,797
male
white
de
20-29
82.3
3,840
2,160
32.13
30
18,798
male
white
de
20-29
51.6
3,840
2,160
21.83
30
18,799
male
white
de
20-29
45.5
3,840
2,160
20.23
30
18,800
male
white
de
20-29
74.2
3,840
2,160
33.43
30
18,801
male
white
de
20-29
50.9
3,840
2,160
23.33
30
18,802
male
white
de
20-29
211.5
3,840
2,160
96.43
30
18,803
male
white
de
20-29
77.7
3,840
2,160
35.43
30
18,804
male
white
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30-39
18.4
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35.44
30
18,805
male
white
en
30-39
10.8
1,920
1,080
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30
18,806
male
white
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30-39
11.8
1,920
1,080
21.63
30
18,807
male
white
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40-49
123.6
3,840
2,160
56.49
30
18,808
male
white
en
40-49
56.6
3,840
2,160
24.79
30
18,809
male
white
en
40-49
60.8
3,840
2,160
26.13
30
18,810
male
white
en
40-49
219
3,840
2,160
115.32
30
18,811
male
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en
40-49
114.1
3,840
2,160
40.84
30
18,812
male
white
en
30-39
30.9
3,840
2,160
32.52
25
18,813
male
white
en
30-39
69.4
3,840
2,160
61.68
25
18,814
male
white
en
30-39
29
3,840
2,160
24.6
25
18,815
male
white
en
30-39
30
3,840
2,160
23.88
25
18,816
male
white
en
30-39
127.2
3,840
2,160
109.2
25
18,817
male
white
en
30-39
18.7
3,840
2,160
20.64
25
18,818
male
white
en
30-39
49.8
3,840
2,160
41.88
25
18,819
male
white
en
20-29
27.1
3,840
2,160
23.03
30
18,820
male
white
en
20-29
25.6
3,840
2,160
20.23
30
18,821
male
white
en
20-29
35.4
3,840
2,160
29.23
30
18,822
female
white
en
20-29
21.1
1,920
1,080
27.33
30
18,823
male
asian
en
20-29
170.2
3,840
2,160
108.32
24
18,824
male
asian
en
20-29
64
3,840
2,160
41.88
24
18,825
male
asian
en
20-29
82.3
3,840
2,160
54.43
24
18,826
male
asian
en
20-29
45.5
3,840
2,160
28.49
24
18,827
male
asian
en
20-29
60
3,840
2,160
38.37
24
18,828
male
asian
en
20-29
30.9
3,840
2,160
20.35
24
18,829
male
asian
en
20-29
30
3,840
2,160
20.48
24
18,830
male
asian
en
20-29
54.1
3,840
2,160
34.62
24
18,831
male
asian
en
20-29
76.2
3,840
2,160
50.38
24
18,832
male
asian
en
20-29
34.5
3,840
2,160
21.73
24
18,833
male
white
de
40-49
92.7
3,840
2,160
34.1
30
18,834
male
white
de
40-49
247.4
3,840
2,160
84.1
30
18,835
male
white
de
40-49
118.6
3,840
2,160
42.7
30
18,836
male
white
it
40-49
9.9
1,920
1,080
20.76
25
18,837
male
black
en
20-29
39.5
3,840
2,160
25.07
24
18,838
male
black
en
20-29
59.9
3,840
2,160
34.41
24
18,839
male
black
en
20-29
37.1
3,840
2,160
23.52
24
18,840
male
black
en
20-29
46.5
3,840
2,160
30.24
24
18,841
male
black
en
20-29
56.7
3,840
2,160
35.29
24
18,842
male
black
en
20-29
41
3,840
2,160
26.23
24
18,843
male
black
en
20-29
31.6
3,840
2,160
20.52
24
18,844
male
black
en
20-29
46.1
3,840
2,160
29.86
24
18,845
male
black
en
20-29
120.4
3,840
2,160
65.19
24
18,846
male
white
it
30-39
52.6
3,840
2,160
22.17
60
18,847
male
asian
en
20-29
36.5
3,840
2,160
29.9
24
18,848
male
asian
en
20-29
77.1
3,840
2,160
61.39
24
18,849
male
white
en
20-29
5.4
1,920
1,080
26.06
30
18,850
male
white
en
20-29
32
3,840
2,160
21.69
30
18,851
male
white
en
20-29
46.7
3,840
2,160
30.43
30
18,852
male
white
en
20-29
88.9
3,840
2,160
56.52
30
18,853
male
white
en
20-29
41.4
3,840
2,160
30.1
30
18,854
male
white
en
20-29
141.3
3,840
2,160
30.9
30
18,855
male
white
en
20-29
34.7
3,840
2,160
21.15
30
18,856
male
asian
en
20-29
178.3
3,840
2,160
109.36
24
18,857
male
white
en
40-49
231.7
3,840
2,160
114.73
30
18,858
male
white
en
40-49
180.8
3,840
2,160
88.53
30
18,859
female
asian
en
10-19
92.3
3,840
2,160
33.53
59.9
18,860
female
asian
en
10-19
95
3,840
2,160
34.88
59.9
18,861
male
white
en
30-39
41.2
3,840
2,160
22.79
24
18,862
male
white
en
30-39
103.8
3,840
2,160
34.29
24
18,863
male
white
en
30-39
33.4
3,840
2,160
20.04
24
18,864
male
white
en
30-39
38.2
3,840
2,160
20.54
24
18,865
male
white
en
30-39
60.9
3,840
2,160
34.17
24
18,866
male
white
en
30-39
21.9
3,840
2,160
20.73
24
18,867
male
asian
en
20-29
40.2
3,840
2,160
29.24
24
18,868
male
asian
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20-29
28.7
3,840
2,160
20.6
24