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
8,793
male
black
en
30-39
132.2
3,840
2,160
27.74
24
8,794
male
black
en
30-39
66.3
3,840
2,160
34.91
24
8,795
male
white
en
30-39
8.9
1,728
1,080
45.43
30
8,796
male
white
en
30-39
3.7
1,728
1,080
21.23
30
8,797
male
white
en
30-39
29
1,728
1,080
157.83
30
8,798
male
white
en
30-39
10.2
1,728
1,080
54.03
30
8,799
male
white
en
20-29
37.6
3,840
2,160
30.72
25
8,800
female
white
en
20-29
23.8
1,920
1,080
48.9
30
8,801
female
white
en
20-29
63.5
1,920
1,080
154.5
30
8,802
male
white
en
20-29
110.7
2,560
1,440
82.23
30
8,803
male
white
en
20-29
12.6
1,920
1,080
24.15
24
8,804
male
white
en
20-29
10.2
1,920
1,080
25.57
24
8,805
male
white
en
50-59
7.8
1,920
1,080
23.63
30
8,806
male
white
en
50-59
5.6
1,920
1,080
21.33
30
8,807
male
white
en
50-59
8.7
1,920
1,080
25.93
30
8,808
male
white
en
40-49
8.8
1,920
1,080
21.36
25
8,809
female
white
en
20-29
39.2
3,840
2,160
24.94
24
8,810
female
white
en
20-29
39.6
3,840
2,160
24.77
24
8,811
female
white
en
20-29
35.3
3,840
2,160
23.27
24
8,812
female
white
en
20-29
27.7
3,840
2,160
21.6
24
8,813
male
white
en
30-39
6.8
1,920
1,080
22.44
25
8,814
male
white
en
30-39
6.8
1,920
1,080
24.12
25
8,815
male
white
en
30-39
8.2
1,920
1,080
29.88
25
8,816
male
asian
en
20-29
80.9
3,840
2,160
37.12
24
8,817
male
white
en
20-29
11.1
1,920
1,080
31.46
50
8,818
male
white
en
30-39
31.4
3,840
2,160
21.36
25
8,819
male
white
en
30-39
33.8
3,840
2,160
25
25
8,820
male
white
en
30-39
26.9
3,840
2,160
20.76
25
8,821
male
asian
en
30-39
48.5
3,840
2,160
50.38
24
8,822
male
asian
en
30-39
144
3,840
2,160
48.42
24
8,823
male
white
en
20-29
40.6
3,840
2,160
21.67
30
8,824
female
asian
en
20-29
82.4
3,840
2,160
32.2
30
8,825
female
asian
en
20-29
83.1
3,840
2,160
33.07
30
8,826
female
asian
en
20-29
50.8
3,840
2,160
20.75
30
8,827
female
asian
en
20-29
125.6
3,840
2,160
54.85
30
8,828
female
asian
en
20-29
196.4
3,840
2,160
64.86
30
8,829
female
asian
en
20-29
72.2
3,840
2,160
27.73
30
8,830
female
asian
en
20-29
65.1
3,840
2,160
28.43
30
8,831
male
black
en
20-29
33.7
3,840
2,160
26.02
60
8,832
male
black
en
20-29
42.5
3,840
2,160
33.17
60
8,833
male
black
en
20-29
30.3
3,840
2,160
21.07
60
8,834
male
black
en
20-29
29.7
3,840
2,160
23.32
60
8,835
male
white
en
20-29
7.4
1,920
1,080
23.11
24
8,836
male
white
en
20-29
8.1
1,920
1,080
24.98
24
8,837
male
white
en
20-29
9.5
1,920
1,080
31.11
24
8,838
male
white
en
40-49
46.9
3,840
2,160
23.53
30
8,839
male
white
en
40-49
61.9
3,840
2,160
24.43
30
8,840
male
white
en
20-29
4.2
1,920
1,080
21.86
24
8,841
male
white
en
30-39
8.2
1,920
1,080
20.93
30
8,842
male
white
en
30-39
54.3
3,840
2,160
28.4
24
8,843
male
white
en
30-39
45.6
3,840
2,160
23.16
25
8,844
male
white
en
30-39
45.8
3,840
2,160
23.4
25
8,845
female
white
en
20-29
53.4
3,840
2,160
26.48
24
8,846
female
white
en
20-29
60.5
3,840
2,160
30.57
24
8,847
female
white
en
20-29
120.1
3,840
2,160
56.77
24
8,848
female
white
en
20-29
91.4
3,840
2,160
44.38
24
8,849
male
white
en
20-29
80
3,840
2,160
31.2
30
8,850
male
white
en
20-29
41.8
3,840
2,160
20.87
60
8,851
male
white
en
30-39
49
3,840
2,160
34.03
30
8,852
male
white
en
30-39
31.5
3,840
2,160
21.4
25
8,853
male
white
en
30-39
94.5
3,840
2,160
64.2
25
8,854
male
white
en
20-29
135.4
3,840
2,160
33.1
30
8,855
male
white
en
30-39
44
3,840
2,160
21.04
24
8,856
male
white
en
30-39
27.1
3,840
2,160
21.42
24
8,857
male
white
en
20-29
81.4
3,840
2,160
36.41
24
8,858
male
white
en
20-29
54
3,840
2,160
24.32
24
8,859
male
white
en
20-29
64.6
3,840
2,160
27.4
24
8,860
male
white
en
20-29
69.1
3,840
2,160
29.9
24
8,861
male
black
en
30-39
12.2
1,920
1,080
27.63
30
8,862
male
black
en
30-39
12
1,920
1,080
24.62
30
8,863
male
white
en
40-49
50.9
3,840
2,160
32.24
24
8,864
male
white
en
40-49
87.1
3,840
2,160
69.36
24
8,865
male
white
en
40-49
42.8
3,840
2,160
33.28
24
8,866
male
white
en
40-49
49.4
3,840
2,160
38.46
24
8,867
male
white
en
30-39
22.7
1,920
1,080
42.44
30
8,868
male
white
en
30-39
40.2
3,840
2,160
38.71
24
8,869
male
white
en
20-29
92.5
3,840
2,160
48.84
25
8,870
male
white
en
30-39
197.8
3,840
2,160
82.73
30
8,871
male
white
en
30-39
71
3,840
2,160
30.13
30
8,872
male
white
en
30-39
83.5
3,840
2,160
34.47
30
8,873
female
asian
en
20-29
31.6
3,840
2,160
35.87
24
8,874
female
asian
en
20-29
20.5
3,840
2,160
20.48
24
8,875
female
asian
en
20-29
78.2
3,840
2,160
77.33
24
8,876
female
white
en
20-29
53.8
1,920
1,080
178.51
24
8,877
female
white
en
20-29
57.5
1,920
1,080
161.91
24
8,878
male
white
en
20-29
12.6
1,920
1,080
26.09
30
8,879
male
white
en
20-29
11.2
1,920
1,080
22.76
30
8,880
male
white
en
30-39
33.4
3,840
2,160
20.81
24
8,881
male
black
en
30-39
627.6
3,840
2,160
113.81
30
8,882
male
black
en
20-29
34.1
3,840
2,160
28.9
24
8,883
male
white
en
40-49
14.8
1,920
1,080
20.25
30
8,884
male
white
en
30-39
29.8
3,840
2,160
23.22
30
8,885
female
asian
en
20-29
36.9
1,920
1,080
79.92
25
8,886
male
asian
en
40-49
10.1
1,920
1,080
32.03
24
8,887
male
asian
en
40-49
8.7
1,920
1,080
30.74
24
8,888
male
white
en
30-39
55.1
3,840
2,160
26.69
24
8,889
male
white
en
30-39
60.6
3,840
2,160
23.11
24
8,890
male
white
en
30-39
85
3,840
2,160
42.71
24
8,891
male
white
en
30-39
21.6
3,840
2,160
22.36
24
8,892
male
black
en
30-39
59.2
3,840
2,160
25.65
24