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
44,797
male
asian
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30-39
68.9
3,840
2,160
61.52
24
44,798
male
asian
pt
30-39
67.4
3,840
2,160
59.35
24
44,799
male
asian
pt
30-39
31.6
3,840
2,160
27.11
24
44,800
male
asian
pt
30-39
33.7
3,840
2,160
28.9
24
44,801
male
asian
pt
30-39
79
3,840
2,160
70.45
24
44,802
male
asian
pt
30-39
48.5
3,840
2,160
40.04
24
44,803
male
asian
pt
30-39
29.8
3,840
2,160
26.36
24
44,804
male
asian
pt
30-39
40.4
3,840
2,160
38.87
24
44,805
male
asian
pt
30-39
23.9
3,840
2,160
21.02
24
44,806
male
white
pt
30-39
166.1
3,840
2,160
71.17
30
44,807
female
white
en
20-29
160.2
1,920
1,080
171.96
25
44,808
male
white
pt
20-29
13.6
1,920
1,080
31.43
30
44,809
male
white
en
50-59
17.6
1,920
1,080
25.37
30
44,810
male
white
en
50-59
27.6
1,920
1,080
40.17
30
44,811
male
white
en
50-59
76.6
1,920
1,080
109.17
30
44,812
male
white
en
40-49
66.1
1,920
1,080
80.57
60
44,813
male
white
en
30-39
39.8
3,840
2,160
42.75
24
44,814
male
white
pt
40-49
21.6
1,920
1,080
40.27
30
44,815
male
white
pt
30-39
79.1
3,840
2,160
82.23
30
44,816
male
white
pt
30-39
137.9
3,840
2,160
145.33
30
44,817
male
white
pt
30-39
115.8
3,840
2,160
132.73
30
44,818
male
white
pt
30-39
22.8
3,840
2,160
20.23
30
44,819
male
white
pt
30-39
27.3
3,840
2,160
30.47
30
44,820
male
white
pt
20-29
10.4
1,920
1,080
33.37
24
44,821
male
indian
pt
30-39
28.8
1,920
1,080
78.5
24
44,822
male
indian
pt
30-39
13.3
1,920
1,080
27.15
24
44,823
male
indian
pt
30-39
13.5
1,920
1,080
28.49
24
44,824
male
white
pt
30-39
9.9
1,920
1,080
20.52
24
44,825
female
white
en
20-29
27.9
1,920
1,080
33
60
44,826
female
white
en
20-29
43.5
1,920
1,080
51.95
60
44,827
female
white
pt
20-29
11.5
1,920
1,080
29.63
30
44,828
female
white
pt
20-29
17.3
1,920
1,080
42.64
30
44,831
male
black
en
20-29
18.5
1,920
1,080
40.63
30
44,832
male
black
en
20-29
11.4
1,920
1,080
20.33
30
44,833
male
white
pt
20-29
61.3
3,840
2,160
22.11
59.9
44,834
male
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pt
20-29
58.6
3,840
2,160
23.47
59.9
44,835
male
white
pt
30-39
61.7
3,840
2,160
33.83
30
44,836
male
white
pt
30-39
70.4
3,840
2,160
37.93
30
44,837
male
white
pt
30-39
80.6
3,840
2,160
40.93
30
44,838
male
indian
pt
30-39
8
1,920
1,080
20.99
30
44,839
male
indian
pt
30-39
18.6
1,920
1,080
49.18
30
44,840
male
indian
pt
30-39
38
1,920
1,080
97.03
30
44,841
male
indian
pt
30-39
9.9
1,920
1,080
24.26
30
44,842
male
indian
pt
30-39
22.3
1,920
1,080
59.83
30
44,843
male
white
en
20-29
15
1,920
1,080
20.59
30
44,844
female
asian
en
20-29
14.7
1,920
1,080
23.99
30
44,845
male
white
pt
30-39
16.8
1,920
1,080
36.79
24
44,846
male
white
pt
30-39
39.9
1,920
1,080
79.7
24
44,847
female
white
en
20-29
22.1
1,920
1,080
39.53
30
44,848
female
white
pt
20-29
24.1
1,920
1,080
40.23
30
44,849
female
white
en
20-29
6.3
1,920
1,080
21.22
30
44,850
female
white
en
20-29
11.6
1,920
1,080
23.12
30
44,851
male
indian
pt
20-29
16.9
3,840
2,160
21.03
30
44,852
male
white
pt
20-29
154.9
3,840
2,160
56.06
59.9
44,853
female
white
pt
20-29
13.1
1,920
1,080
25.73
30
44,854
male
white
en
30-39
23.3
3,840
2,160
20.89
30
44,855
male
white
en
30-39
30.1
3,840
2,160
30.33
30
44,856
male
asian
en
20-29
10.9
1,920
1,080
24.1
30
44,857
male
white
pt
30-39
59.4
1,920
1,080
52.03
30
44,858
female
white
pt
50-59
89.3
1,920
1,080
130.6
30
44,859
male
black
pt
20-29
31.8
1,920
1,080
53.35
30
44,860
male
white
pt
20-29
31.4
1,920
1,080
38.57
30
44,861
male
white
en
20-29
44.8
3,840
2,160
26.99
30
44,862
male
white
en
20-29
98.5
3,840
2,160
60.03
30
44,863
male
white
en
20-29
91.3
3,840
2,160
57.12
30
44,864
male
white
en
20-29
46.8
3,840
2,160
20.27
24
44,865
male
white
en
20-29
143.7
3,840
2,160
27.28
24
44,866
male
white
en
20-29
274.9
3,840
2,160
60.35
24
44,867
male
white
en
20-29
62.5
3,840
2,160
32.62
24
44,868
male
white
en
20-29
78.7
3,840
2,160
40.75
24
44,869
male
white
es
20-29
63.1
1,920
1,080
66.72
25
44,870
male
white
pt
30-39
105.6
1,920
1,080
177.53
24
44,871
male
white
pt
30-39
103.8
1,920
1,080
178.45
24
44,872
male
white
pt
30-39
107.9
1,920
1,080
178.36
24
44,873
male
white
pt
30-39
44.4
1,920
1,080
78.88
24
44,874
female
black
en
30-39
25.7
1,920
1,080
40.21
30
44,875
female
black
en
30-39
12.6
1,920
1,080
30.23
30
44,876
female
black
en
30-39
13.3
1,920
1,080
31.56
30
44,877
female
black
en
30-39
17.3
1,920
1,080
43.01
30
44,878
female
black
en
30-39
36.8
1,920
1,080
95.5
30
44,879
female
black
en
30-39
16.7
1,920
1,080
33.5
30
44,880
female
black
en
30-39
19.6
1,920
1,080
42.94
30
44,881
male
black
en
30-39
25.5
1,920
1,080
50.93
30
44,882
male
black
en
30-39
43.8
1,920
1,080
89.93
30
44,883
female
black
en
20-29
17.3
1,920
1,080
35.64
30
44,884
female
black
en
20-29
13.9
1,920
1,080
23.92
30
44,885
female
asian
pt
10-19
16.9
1,920
1,080
23.52
30
44,886
female
asian
pt
10-19
18.5
1,920
1,080
27.39
30
44,887
female
asian
pt
10-19
30.4
1,920
1,080
46.95
30
44,888
male
white
pt
30-39
38.9
3,840
2,160
24.24
25
44,889
male
white
pt
30-39
46.5
3,840
2,160
24.72
25
44,890
male
white
pt
20-29
33.1
3,840
2,160
38.57
30
44,891
male
white
pt
20-29
27.2
3,840
2,160
22.42
30
44,892
male
white
pt
20-29
20.2
3,840
2,160
21.79
30
44,893
female
asian
pt
30-39
42.4
3,840
2,160
25.37
30
44,894
female
asian
pt
30-39
39.7
3,840
2,160
20.33
30
44,895
female
asian
pt
30-39
57.8
3,840
2,160
30.03
30
44,896
female
asian
pt
30-39
38.9
3,840
2,160
20.63
30
44,897
female
asian
pt
30-39
162.7
3,840
2,160
97.23
30
44,898
female
asian
pt
30-39
140.8
3,840
2,160
74.23
30