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
7,793
female
asian
en
20-29
10
1,920
1,080
22.87
30
7,794
male
white
en
30-39
65.5
1,920
1,080
60.86
30
7,795
male
white
en
30-39
32.6
1,920
1,080
61.76
30
7,796
male
white
en
30-39
28.9
3,840
2,160
23.86
30
7,797
male
white
en
20-29
11.6
1,920
1,080
26.23
30
7,798
female
white
en
30-39
42.5
3,840
2,160
21.93
30
7,799
female
white
en
30-39
83.2
3,840
2,160
45.73
30
7,800
female
white
en
30-39
43.5
3,840
2,160
25.9
30
7,801
female
white
en
30-39
41.7
3,840
2,160
25.87
30
7,802
female
white
en
30-39
77.6
3,840
2,160
44.33
30
7,803
male
white
en
20-29
29.8
3,840
2,160
23.22
60
7,804
male
white
en
20-29
53.7
3,840
2,160
44.87
60
7,805
male
white
en
20-29
28.2
3,840
2,160
22.37
60
7,806
male
white
en
20-29
42
3,840
2,160
30.62
60
7,807
male
white
en
20-29
45.6
3,840
2,160
36.82
60
7,808
male
white
en
20-29
22.8
3,840
2,160
20.67
60
7,809
male
white
en
20-29
36.8
3,840
2,160
32.82
60
7,810
male
white
en
20-29
86.4
3,840
2,160
69.27
60
7,811
male
white
en
30-39
36
3,840
2,160
27.4
24
7,812
male
white
en
40-49
22.7
3,840
2,160
20.52
25
7,813
male
white
en
40-49
33.5
3,840
2,160
31.68
25
7,814
male
white
en
40-49
45.9
3,840
2,160
40.2
25
7,815
female
white
en
30-39
16.9
1,920
1,080
38.64
30
7,816
male
white
en
50-59
19.4
1,920
1,080
34.43
30
7,817
male
white
en
50-59
16.7
1,920
1,080
30.66
30
7,818
male
white
en
30-39
8.4
1,920
1,080
20.1
59.9
7,819
male
white
en
30-39
10.4
1,920
1,080
24.26
59.9
7,820
male
white
en
30-39
16.9
1,920
1,080
46.38
59.9
7,821
male
white
en
30-39
21.4
1,920
1,080
58.58
59.9
7,822
male
white
en
30-39
11.3
1,920
1,080
28.68
59.9
7,823
male
white
en
40-49
8.7
1,920
1,080
20.76
25
7,824
male
white
en
20-29
50.9
3,840
2,160
28.65
24
7,825
male
white
en
50-59
14.9
1,920
1,080
22.76
30
7,826
male
white
en
50-59
40.8
1,920
1,080
57.52
30
7,827
male
white
en
50-59
30.8
1,920
1,080
68.5
30
7,828
male
white
en
50-59
11.5
1,920
1,080
25.02
30
7,829
male
white
en
30-39
26.3
1,920
1,080
98.31
24
7,830
male
white
en
30-39
14.8
1,920
1,080
50.18
24
7,831
male
white
en
30-39
9.5
1,920
1,080
35.49
24
7,832
male
white
en
30-39
19.5
1,920
1,080
62.6
24
7,833
male
white
en
20-29
82.5
1,920
1,080
142.63
30
7,834
female
asian
en
20-29
85.1
3,840
2,160
21.19
30
7,835
female
white
en
30-39
63
1,920
1,080
173.04
25
7,836
female
white
en
30-39
20
1,920
1,080
41.24
25
7,837
female
white
en
30-39
27.5
1,920
1,080
61.08
25
7,838
male
black
en
20-29
6.3
1,920
1,080
29.16
25
7,839
male
asian
en
20-29
61.5
1,920
1,080
168.47
30
7,840
male
asian
en
20-29
10.6
1,920
1,080
26.09
30
7,841
male
white
en
30-39
12.7
1,920
1,080
20.24
59.9
7,842
male
white
en
40-49
35.7
1,920
1,080
157.1
30
7,843
male
white
en
40-49
11.3
1,920
1,080
46.47
30
7,844
male
white
en
40-49
8.3
1,920
1,080
30.13
30
7,845
male
asian
en
20-29
17.5
1,920
1,080
36.75
24
7,846
male
white
en
50-59
95.5
3,840
2,160
23.73
24
7,847
male
white
en
50-59
131.7
3,840
2,160
37.12
24
7,848
female
asian
en
30-39
24.4
1,920
1,080
62.1
30
7,849
female
asian
en
30-39
8.7
1,920
1,080
21.63
30
7,850
female
asian
en
30-39
16.6
1,920
1,080
40.83
30
7,851
female
asian
en
30-39
31.3
1,920
1,080
85.43
30
7,852
female
black
en
30-39
243.5
3,840
2,160
84.97
30
7,853
female
black
en
30-39
70.2
3,840
2,160
24.33
30
7,854
female
black
en
30-39
86
3,840
2,160
29.03
30
7,855
female
white
en
20-29
18.1
1,920
1,080
31.99
24
7,856
female
white
en
20-29
13.1
1,920
1,080
20.48
24
7,857
male
black
en
20-29
39.2
3,840
2,160
25.97
60
7,858
female
white
en
20-29
25.5
1,920
1,080
55.26
30
7,859
female
white
en
20-29
13.8
1,920
1,080
25.19
30
7,860
female
white
en
20-29
20.9
1,920
1,080
32.63
30
7,861
female
white
en
20-29
14.1
1,920
1,080
24.09
30
7,862
female
white
en
20-29
15.8
1,920
1,080
28.33
30
7,863
female
white
en
20-29
19.7
1,920
1,080
37.64
30
7,864
female
white
en
20-29
11.1
1,920
1,080
21.19
30
7,865
female
white
en
20-29
10
1,920
1,080
21.99
30
7,866
female
white
en
20-29
19.2
1,920
1,080
42.74
30
7,867
female
white
en
20-29
20.2
1,920
1,080
43.98
30
7,868
female
white
en
20-29
19
1,920
1,080
40.34
30
7,869
female
white
en
20-29
11.1
1,920
1,080
24.69
30
7,870
male
white
en
20-29
99
3,840
2,160
26.12
60
7,871
male
white
en
30-39
265.1
3,840
2,160
115.15
60
7,872
male
white
en
30-39
142.4
3,840
2,160
68.63
60
7,873
male
asian
en
20-29
101.1
3,840
2,160
91.72
24
7,874
male
asian
en
20-29
25.9
3,840
2,160
22.86
24
9,742
female
asian
en
20-29
11.3
1,920
1,080
20.64
50
7,876
male
white
en
30-39
14.6
1,920
1,080
32.42
24
7,877
male
white
en
30-39
45.2
1,920
1,080
95.75
24
7,878
male
white
en
30-39
13.4
1,920
1,080
27.92
24
7,879
male
white
en
30-39
27.1
1,920
1,080
54.42
24
7,880
male
white
en
30-39
13
1,920
1,080
26.12
24
7,881
male
white
en
50-59
114.5
3,840
2,160
30.23
30
7,882
male
white
en
50-59
176.7
3,840
2,160
44.54
30
7,883
male
white
en
30-39
40.1
3,840
2,160
22.29
30
7,884
male
white
en
30-39
66.5
3,840
2,160
39.71
30
7,885
male
white
en
30-39
106.5
3,840
2,160
57.62
30
7,886
male
white
en
30-39
91.4
3,840
2,160
52.95
30
7,887
male
white
en
30-39
68.4
3,840
2,160
37.62
24
7,888
male
white
en
30-39
97
3,840
2,160
53.43
24
7,889
male
white
en
30-39
66.1
3,840
2,160
35.79
24
7,890
male
white
en
30-39
77.9
3,840
2,160
39.12
24
7,891
male
white
en
30-39
87.4
3,840
2,160
45.09
24
7,892
male
white
en
30-39
108.2
3,840
2,160
48.62
30