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
39,843
male
white
en
30-39
56.1
3,840
2,160
44.88
25
39,844
male
white
en
30-39
22.9
3,840
2,160
20.88
25
39,845
male
white
en
30-39
32.9
3,840
2,160
28.32
25
39,846
male
white
en
30-39
70.9
3,840
2,160
63
25
39,847
male
white
en
30-39
26.4
3,840
2,160
22.2
25
39,848
female
white
hi
20-29
29.1
1,920
1,080
34.97
30
39,849
female
white
hi
20-29
24.6
1,920
1,080
25.43
30
39,850
female
white
hi
20-29
30.5
1,920
1,080
34.97
30
39,851
female
white
hi
20-29
28
1,920
1,080
36.27
30
39,852
male
indian
en
20-29
39.8
3,840
2,160
21.92
60
39,853
female
white
hi
20-29
94.8
1,920
1,080
94.62
60
39,854
male
indian
hi
30-39
23.8
1,920
1,080
22.73
30
39,855
male
black
et
40-49
15.1
1,920
1,080
24.2
30
39,856
none
none
hi
none
24.7
1,920
1,080
23.58
60
39,857
none
none
hi
none
19.9
1,920
1,080
22.02
60
39,858
male
asian
en
20-29
10.9
1,920
1,080
26.52
25
39,859
male
white
hi
40-49
50
3,840
2,160
38.28
25
39,860
male
indian
hi
30-39
15.9
1,920
1,080
24.53
30
39,861
male
indian
hi
20-29
64.6
1,920
1,080
102.27
60
39,862
male
white
hi
30-39
25.5
1,920
1,080
25.12
60
39,863
female
asian
en
20-29
29.5
1,920
1,080
42.17
30
39,864
female
black
hi
30-39
33.1
1,920
1,080
52.13
30
39,865
female
indian
en
20-29
57
1,920
1,080
97.43
30
39,866
female
indian
en
20-29
51.3
1,920
1,080
76.73
30
39,867
male
white
hi
30-39
19
1,920
1,080
45.12
25
39,868
male
black
hi
30-39
11.4
1,906
1,080
21.02
60
39,869
male
indian
hi
20-29
43.7
3,840
2,160
21.24
25
39,870
male
indian
en
30-39
18
1,920
1,080
23.76
25
39,871
male
white
de
30-39
58.9
1,920
1,080
30.1
30
39,872
male
white
de
30-39
45.7
1,920
1,080
87.33
30
39,873
male
white
de
30-39
60
1,920
1,080
36.23
30
39,874
male
white
de
30-39
61.5
1,920
1,080
67.23
30
39,875
male
indian
hi
30-39
15.9
1,920
1,080
24.53
30
39,876
male
white
hi
20-29
177.6
3,840
2,160
141.12
25
39,877
male
white
hi
20-29
101.1
3,840
2,160
93.72
25
39,878
male
white
hi
20-29
42.6
3,840
2,160
42.72
25
39,879
male
white
hi
20-29
76.2
3,840
2,160
65.76
25
39,880
male
white
hi
20-29
20.4
3,840
2,160
20.28
25
39,881
male
white
hi
20-29
34.5
3,840
2,160
35.16
25
39,882
male
white
hi
20-29
27.5
3,840
2,160
26.88
25
39,883
male
white
hi
20-29
130.4
3,840
2,160
132.6
25
39,884
male
white
hi
20-29
50.1
3,840
2,160
47.64
25
39,885
male
white
hi
20-29
50.4
3,840
2,160
45.48
25
39,886
male
white
en
40-49
19
1,920
1,080
50.93
30
39,887
female
black
hi
30-39
21.3
1,920
1,080
25.58
50
39,888
male
white
en
30-39
30.2
1,920
1,080
52.48
25
39,889
male
white
en
30-39
14.1
1,920
1,080
22.76
25
39,890
male
white
en
30-39
17.2
1,920
1,080
27.96
25
39,891
female
asian
hi
20-29
12.9
1,920
1,080
24.13
30
39,892
female
asian
hi
20-29
26
1,920
1,080
43.8
30
39,893
female
asian
hi
20-29
92.8
1,920
1,080
159.07
30
39,894
female
asian
hi
20-29
22.6
1,920
1,080
40.13
30
39,895
male
black
hi
30-39
17.4
1,920
1,080
26.23
30
39,896
male
black
hi
30-39
41.2
1,920
1,080
55.73
30
39,897
male
black
hi
20-29
13.8
1,920
1,080
24.13
30
39,898
male
indian
hi
30-39
31.5
3,840
2,160
20.72
60
39,899
male
indian
hi
30-39
51.7
3,840
2,160
34.12
60
39,900
male
indian
hi
30-39
39.2
3,840
2,160
26.62
60
39,901
male
indian
hi
30-39
43
3,840
2,160
28.22
60
39,902
male
indian
hi
30-39
97
3,840
2,160
61.22
60
39,903
male
indian
hi
30-39
124.1
3,840
2,160
79.88
60
39,904
male
black
hi
30-39
20
1,920
1,080
22.33
30
39,905
male
indian
hi
30-39
50.9
3,840
2,160
20.83
24
39,906
female
indian
hi
20-29
57.1
3,840
2,160
38.73
30
39,907
female
indian
hi
20-29
161.4
3,840
2,160
100.83
30
39,908
female
indian
hi
20-29
48.9
3,840
2,160
34.27
30
39,909
female
indian
hi
20-29
143.3
3,840
2,160
98.93
30
39,910
female
indian
hi
20-29
46.1
3,840
2,160
31.73
30
39,911
female
indian
hi
20-29
72.4
3,840
2,160
41.47
30
39,912
male
indian
hi
30-39
20.9
1,920
1,080
58.53
30
39,913
male
black
hi
20-29
127.5
3,840
2,160
30.84
25
39,914
male
black
hi
20-29
144.1
3,840
2,160
33.56
25
39,915
male
black
hi
20-29
267.9
3,840
2,160
80.8
25
39,916
male
indian
en
30-39
70.6
3,840
2,160
25.32
25
39,917
male
indian
en
30-39
107.7
3,840
2,160
33.52
25
39,918
male
indian
en
30-39
147.6
3,840
2,160
52.56
25
39,919
male
indian
en
30-39
74.6
3,840
2,160
26.76
25
39,920
male
indian
en
30-39
294.6
3,840
2,160
94.36
25
39,921
male
indian
en
30-39
64.4
3,840
2,160
20.52
25
39,922
male
indian
en
30-39
131.7
3,840
2,160
39
25
39,923
male
indian
en
30-39
153
3,840
2,160
50.16
25
39,924
male
indian
en
30-39
136.9
3,840
2,160
41.04
25
39,925
female
asian
en
20-29
34.1
1,920
1,080
68.4
30
39,926
female
asian
en
20-29
76.1
1,920
1,080
148.85
30
39,927
male
black
hi
30-39
27.4
1,920
1,080
60.93
60
39,928
female
white
hi
20-29
26.6
1,920
1,080
28.92
25
39,929
female
white
hi
20-29
25.7
1,920
1,080
27.12
25
39,930
male
white
hi
40-49
42.3
3,840
2,160
27.96
25
39,931
male
white
hi
40-49
80.1
3,840
2,160
51.24
25
39,932
male
white
hi
40-49
81.9
3,840
2,160
52.8
25
39,933
male
indian
en
30-39
27.1
3,840
2,160
20.35
24
39,934
male
white
hi
20-29
48.5
3,840
2,160
24.32
30
39,935
male
white
hi
20-29
98.6
3,840
2,160
50.68
30
39,936
male
white
hi
20-29
42.1
3,840
2,160
27.63
30
39,937
male
white
en
30-39
93.2
2,560
1,440
42.49
59.9
39,938
female
white
en
20-29
11.5
1,920
1,080
23.83
30
39,939
female
white
en
20-29
35.2
1,920
1,080
67.87
30
39,940
female
white
en
20-29
42.6
1,920
1,080
86.13
30
39,941
female
white
en
20-29
12.3
1,920
1,080
24.43
30
39,942
female
white
en
20-29
14.8
1,920
1,080
28.6
30