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
751
male
white
en
20-29
25.6
3,840
2,160
22.89
30
752
male
white
en
20-29
30.4
3,840
2,160
26.09
30
753
male
white
en
20-29
62
3,840
2,160
55.32
30
754
male
white
en
30-39
97.4
3,840
2,160
57.56
30
755
male
white
en
30-39
94.3
3,840
2,160
56.82
30
756
male
white
en
30-39
39
3,840
2,160
23.69
30
757
male
white
en
30-39
180.1
3,840
2,160
109.14
30
758
male
asian
en
20-29
62
3,840
2,160
51.51
24
759
male
black
en
20-29
92.1
3,840
2,160
44.53
59.9
760
male
black
en
20-29
68.4
3,840
2,160
32.68
59.9
761
male
black
en
20-29
126.5
3,840
2,160
60.96
59.9
762
male
white
en
20-29
73.7
3,840
2,160
33.2
25
763
male
white
en
20-29
98.6
3,840
2,160
51.48
25
764
male
black
en
20-29
76
3,840
2,160
43.46
24
765
male
white
en
40-49
94
3,840
2,160
40.42
24
766
male
white
en
40-49
163.2
3,840
2,160
70.07
24
767
male
white
en
40-49
114.9
3,840
2,160
47.92
24
768
male
white
en
40-49
96.8
3,840
2,160
41.54
24
769
male
white
en
40-49
87.7
3,840
2,160
36.91
24
770
male
white
en
40-49
68.1
3,840
2,160
27.49
24
771
male
white
en
40-49
80.1
3,840
2,160
32.74
24
772
male
white
en
30-39
69.7
3,840
2,160
45.17
24
773
male
white
en
30-39
59.2
3,840
2,160
36.37
24
774
male
white
en
30-39
109.3
3,840
2,160
69.07
24
775
male
white
en
30-39
58.2
3,840
2,160
35.41
24
776
male
white
en
30-39
39.4
3,840
2,160
23.36
24
777
male
white
en
30-39
89.1
3,840
2,160
55.89
24
778
male
white
en
20-29
122
3,840
2,160
64.83
30
779
male
white
en
50-59
34.7
3,840
2,160
30.61
24
780
male
white
en
50-59
45.6
3,840
2,160
40.62
24
781
male
white
en
40-49
149.8
3,840
2,160
90.39
30
782
male
white
en
40-49
37.5
3,840
2,160
23.29
30
783
male
white
en
40-49
246.5
3,840
2,160
127.43
30
784
male
white
en
40-49
40.8
3,840
2,160
26.19
30
785
male
white
en
20-29
55.5
3,840
2,160
42.31
30
786
male
white
en
30-39
51.5
3,840
2,160
50.2
25
787
male
white
en
40-49
113
3,840
2,160
39.01
30
788
male
white
en
40-49
70.3
3,840
2,160
24.52
30
789
male
white
en
40-49
58.9
3,840
2,160
21.86
30
790
male
white
en
30-39
42.4
3,840
2,160
27.03
24
791
male
white
en
30-39
225.1
3,840
2,160
178.14
24
792
male
white
en
30-39
41
3,840
2,160
34.62
24
793
male
white
en
20-29
52.8
3,840
2,160
26.63
30
794
male
white
en
20-29
86.2
3,840
2,160
43.01
30
795
male
white
en
20-29
56.4
3,840
2,160
26.99
30
796
male
white
en
20-29
182.9
3,840
2,160
94.99
30
797
male
white
en
20-29
52.6
3,840
2,160
26.79
30
798
male
white
en
30-39
26.6
3,840
2,160
22.61
24
799
male
white
en
30-39
18.1
3,840
2,160
20.35
24
800
male
white
en
30-39
22.2
3,840
2,160
23.36
24
801
male
white
en
30-39
54.9
3,840
2,160
60.56
24
802
male
asian
en
20-29
29.8
3,840
2,160
24.57
24
803
male
asian
en
20-29
32.8
3,840
2,160
28.9
24
804
male
asian
en
20-29
60.2
3,840
2,160
48.72
24
805
male
asian
en
20-29
85
3,840
2,160
72.78
24
806
male
asian
en
20-29
40.1
3,840
2,160
33.03
24
807
male
asian
en
20-29
118.6
3,840
2,160
98.56
24
808
male
black
en
30-39
27.2
3,840
2,160
34.33
24
809
male
black
en
30-39
17.7
3,840
2,160
23.04
24
810
male
black
en
30-39
23
3,840
2,160
30.29
24
811
male
white
en
30-39
38.4
3,840
2,160
20.99
30
812
male
white
en
30-39
56.3
3,840
2,160
30.23
30
813
male
white
en
30-39
65.1
3,840
2,160
33.1
30
814
male
white
en
30-39
82.8
3,840
2,160
51.22
30
815
male
white
en
20-29
36.4
3,840
2,160
35.13
30
816
male
white
en
20-29
28.4
3,840
2,160
27.73
30
817
male
white
en
20-29
18.8
3,840
2,160
20.03
30
818
male
black
en
20-29
27.7
3,840
2,160
21.19
24
819
male
black
en
20-29
29.8
3,840
2,160
23.11
24
820
male
black
en
20-29
46.6
3,840
2,160
34.08
24
821
female
white
en
50-59
48.6
3,840
2,160
27.48
25
822
female
white
en
50-59
315.7
3,840
2,160
178.44
25
823
female
white
en
50-59
60.2
3,840
2,160
35.04
25
824
male
white
en
20-29
16.7
3,840
2,160
21.68
50
825
male
white
en
20-29
77.2
3,840
2,160
99.74
50
826
male
white
en
20-29
111.3
3,840
2,160
125.96
50
827
male
white
en
20-29
27.7
3,840
2,160
39.2
50
828
male
white
en
40-49
34.8
3,840
2,160
35.91
24
829
male
white
en
40-49
67.8
3,840
2,160
67.57
24
830
female
asian
tl
30-39
68.2
3,840
2,160
52.76
24
831
female
asian
tl
30-39
34.8
3,840
2,160
27.49
24
832
female
asian
tl
30-39
89.5
3,840
2,160
69.65
24
833
male
white
en
20-29
39.2
3,840
2,160
20.49
30
834
male
white
en
20-29
46.4
3,840
2,160
26.69
30
835
male
white
en
20-29
91.5
3,840
2,160
47.81
30
836
male
white
en
20-29
53
3,840
2,160
28.09
30
837
male
white
en
20-29
44.2
3,840
2,160
23.39
30
838
male
white
en
20-29
57.6
3,840
2,160
30
30
839
male
white
en
30-39
38.8
3,840
2,160
28.49
24
840
male
white
en
30-39
62.1
3,840
2,160
46.5
24
841
male
white
en
30-39
31.6
3,840
2,160
22.98
24
842
male
white
en
30-39
94.9
3,840
2,160
69.49
24
843
male
white
en
30-39
73.9
3,840
2,160
54.43
24
844
male
white
en
30-39
74.9
3,840
2,160
56.56
24
845
male
white
en
40-49
279.8
3,840
2,160
100.97
30
846
male
indian
en
30-39
41.6
3,840
2,160
20.73
30
847
male
indian
en
30-39
74.5
3,840
2,160
36.03
30
848
male
indian
en
30-39
42.4
3,840
2,160
20.23
30
849
male
indian
en
30-39
49.6
3,840
2,160
22.93
30
850
male
indian
en
30-39
80.4
3,840
2,160
44.83
30