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
5,867
female
black
en
20-29
20.6
1,920
1,080
31.33
30
5,868
female
black
en
20-29
44.3
1,920
1,080
85.67
30
5,869
male
white
en
30-39
30.8
3,840
2,160
28.23
30
5,870
male
white
en
20-29
16.2
1,920
1,080
23.72
30
5,871
male
white
en
60-69
8.8
1,920
1,080
24.16
25
5,872
male
white
en
60-69
10.1
1,920
1,080
25.48
25
5,873
male
white
en
60-69
10.9
1,920
1,080
35.16
25
5,874
male
white
en
40-49
126.4
3,840
2,160
79.95
24
5,875
male
white
en
40-49
45.2
3,840
2,160
29.15
24
5,876
male
white
en
40-49
65.4
3,840
2,160
33.28
24
5,877
male
white
en
40-49
67.4
3,840
2,160
34.16
24
5,878
male
white
en
40-49
31.2
3,840
2,160
20.35
24
5,879
male
white
en
40-49
54.1
3,840
2,160
36.12
24
5,880
female
white
en
20-29
58.5
1,920
1,080
70.74
24
5,881
female
white
en
20-29
50.9
1,920
1,080
61.31
24
5,882
female
white
en
20-29
14.1
1,920
1,080
22.73
24
5,884
male
asian
en
40-49
22.6
3,840
2,160
23.09
30
5,885
female
white
en
20-29
36.4
1,920
1,080
34.63
59.9
5,886
female
white
en
20-29
32.6
1,920
1,080
28.24
59.9
5,887
female
white
en
20-29
20.1
1,920
1,080
22.76
59.9
5,888
female
white
en
20-29
23.1
1,920
1,080
25.04
59.9
5,889
female
white
en
20-29
40.7
1,920
1,080
44.71
59.9
5,890
female
white
en
20-29
19.8
1,920
1,080
22.27
59.9
5,891
female
white
en
20-29
48.1
1,920
1,080
53.62
59.9
5,892
male
black
en
30-39
89.4
3,840
2,160
56.4
25
5,893
male
black
en
30-39
191.3
3,840
2,160
117.84
25
5,894
male
black
en
30-39
59.5
3,840
2,160
38.76
25
5,895
female
white
en
20-29
30.3
3,840
2,160
32.64
25
5,896
female
white
en
20-29
23.3
3,840
2,160
24.48
25
5,897
male
white
en
40-49
12.3
1,920
1,080
22
24
5,898
male
asian
en
10-19
20.4
1,920
1,080
44.92
24
5,899
male
asian
en
10-19
13.7
1,920
1,080
25.19
24
5,900
male
white
en
20-29
24.3
1,920
1,080
33.53
30
5,901
male
black
en
20-29
22.9
3,840
2,160
20.15
24
5,902
male
white
en
50-59
27.2
3,840
2,160
24.12
24
5,903
male
white
en
50-59
23.4
3,840
2,160
20.08
24
5,904
male
white
en
50-59
28.7
3,840
2,160
21.92
24
5,905
male
white
en
50-59
25.2
3,840
2,160
20.54
24
5,906
male
white
en
50-59
47.9
3,840
2,160
39.17
24
5,907
male
asian
en
20-29
27.4
3,840
2,160
27.13
30
5,908
female
white
en
20-29
33.6
3,840
2,160
23.04
25
5,909
female
white
en
20-29
41.5
3,840
2,160
27.88
25
5,910
female
white
en
20-29
37
3,840
2,160
27.48
25
5,911
female
asian
en
20-29
9.2
1,920
1,080
26.69
30
5,912
female
white
en
20-29
63.5
3,840
2,160
21.23
24
5,913
female
white
en
30-39
19.5
1,920
1,080
34.53
30
5,914
female
white
en
30-39
30.1
1,920
1,080
54.02
30
5,915
female
white
en
30-39
15.9
1,920
1,080
32.07
30
5,916
male
white
en
30-39
33.9
1,920
1,080
63.85
59.9
5,917
male
white
en
30-39
11.4
1,920
1,080
22.22
59.9
5,918
male
white
en
30-39
20.1
1,920
1,080
37.4
59.9
5,919
male
white
en
30-39
12.1
1,920
1,080
20.14
59.9
5,920
male
white
en
30-39
45.2
1,920
1,080
82.08
59.9
5,921
female
white
en
30-39
13.7
1,920
1,080
23.39
59.9
5,922
female
white
en
30-39
38.4
1,920
1,080
63.11
59.9
5,923
female
white
en
30-39
14.5
1,920
1,080
25.33
59.9
5,924
male
white
en
30-39
12.7
1,920
1,080
35.33
30
5,925
male
white
en
40-49
144.4
3,840
2,160
35.1
30
5,926
male
white
en
30-39
10.1
1,920
1,080
33.67
24
5,927
male
white
en
30-39
7.7
1,920
1,080
26.79
24
5,928
male
white
en
30-39
6.4
1,920
1,080
24.04
24
5,929
male
white
en
30-39
72.8
3,840
2,160
42.13
24
5,930
male
white
en
20-29
40.7
3,840
2,160
28.61
24
5,931
male
white
en
20-29
103.7
3,840
2,160
79.91
24
5,932
male
black
en
40-49
241.3
3,840
2,160
85.27
29.8
5,933
male
asian
en
20-29
24.1
3,840
2,160
22.4
24
5,934
male
asian
en
20-29
31.6
3,840
2,160
29.74
24
5,935
male
asian
en
20-29
39.9
3,840
2,160
33.91
24
5,936
male
asian
en
20-29
35.7
3,840
2,160
30.49
24
5,937
male
asian
en
20-29
39.1
3,840
2,160
33.28
24
5,938
male
white
en
30-39
46.5
3,840
2,160
24.23
30
5,939
male
white
en
20-29
523.2
3,840
2,160
161.07
60
5,940
male
white
en
40-49
10.9
1,920
1,080
22.48
24
5,941
male
white
en
30-39
28
1,920
1,080
60.6
30
5,942
male
white
en
30-39
12
1,920
1,080
23.93
30
5,943
male
white
en
30-39
16
1,920
1,080
33.83
30
5,944
male
white
en
30-39
27.4
3,840
2,160
20.15
24
5,945
male
white
en
30-39
40.1
3,840
2,160
26.15
24
5,946
male
white
en
30-39
39
3,840
2,160
27.53
24
5,947
male
white
en
30-39
32.8
3,840
2,160
24.11
24
5,948
male
white
en
20-29
76.8
3,840
2,160
48.3
24
5,949
female
asian
en
20-29
9.9
1,920
1,080
28.07
24
5,950
female
asian
en
20-29
8.5
1,920
1,080
21.48
24
5,951
female
asian
en
20-29
11.9
1,920
1,080
32.03
24
5,952
female
asian
en
20-29
8.4
1,920
1,080
24.11
24
5,953
male
white
en
30-39
71.7
3,840
2,160
26.03
30
5,954
male
white
en
30-39
157.2
3,840
2,160
58.83
30
5,955
male
white
en
30-39
95.5
3,840
2,160
34.47
30
5,956
male
white
en
30-39
298.1
3,840
2,160
116.63
30
5,957
female
asian
hi
20-29
114.9
3,840
2,160
47.43
30
5,958
female
asian
hi
20-29
81.4
3,840
2,160
31.73
30
5,959
female
asian
hi
20-29
87.9
3,840
2,160
34.63
30
5,960
female
asian
hi
20-29
137.6
3,840
2,160
57.03
30
5,961
female
white
en
20-29
124.8
3,840
2,160
71.57
29.9
5,962
female
white
en
20-29
273.7
3,840
2,160
132.17
29.9
5,963
male
white
en
20-29
26.9
3,840
2,160
38.37
24
5,964
male
white
en
60-69
13.4
1,920
1,080
28.53
30
5,965
male
white
en
60-69
11.2
1,920
1,080
24.82
30
5,966
male
white
en
60-69
9.9
1,920
1,080
20.32
30
5,967
male
white
en
40-49
8
1,920
1,080
24.4
24