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
18,869
male
asian
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20-29
56.9
3,840
2,160
42.5
24
18,870
male
asian
en
20-29
47.3
3,840
2,160
35.99
24
18,871
male
asian
en
20-29
30.6
3,840
2,160
22.98
24
18,872
male
asian
en
20-29
89.4
3,840
2,160
67.98
24
18,873
male
white
it
40-49
147.5
3,840
2,160
115.56
25
18,874
male
white
en
30-39
67.4
3,840
2,160
38.37
24
18,875
male
white
en
30-39
49.8
3,840
2,160
20.1
24
18,876
male
white
en
30-39
92.7
3,840
2,160
27.83
30
18,877
male
white
en
30-39
311.7
3,840
2,160
84.58
30
18,878
male
white
en
30-39
215.2
3,840
2,160
59.33
30
18,879
male
white
en
30-39
309.4
3,840
2,160
104.87
30
18,880
male
white
en
20-29
138.5
3,840
2,160
22.72
59.9
18,881
male
white
en
20-29
75.2
1,920
1,080
178.48
30
18,882
male
white
en
20-29
13.3
1,920
1,080
30.56
30
18,883
male
white
en
20-29
9.8
1,920
1,080
24.69
30
18,884
male
white
en
20-29
11.2
1,920
1,080
25.39
30
18,885
male
white
en
20-29
12.8
1,920
1,080
28.26
30
18,886
male
white
en
20-29
22.1
1,920
1,080
53.19
30
18,887
male
white
en
20-29
13.3
1,920
1,080
32.8
30
18,888
male
white
en
20-29
25.6
1,920
1,080
56.46
30
18,889
male
white
en
20-29
22.6
1,920
1,080
52.42
30
18,890
male
white
en
20-29
70.6
3,840
2,160
26.04
24
18,891
male
white
en
20-29
75.4
3,840
2,160
28.29
24
18,892
male
white
en
30-39
23.2
3,840
2,160
27.78
24
18,893
male
white
en
30-39
21.4
3,840
2,160
28.49
24
18,894
male
black
en
30-39
64.2
3,840
2,160
37.94
30
18,895
male
black
en
30-39
110.4
3,840
2,160
60.76
30
18,896
male
black
en
30-39
253.3
3,840
2,160
141.74
30
18,897
male
black
en
30-39
81.7
3,840
2,160
24.92
30
18,898
male
white
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20-29
62.9
3,840
2,160
31.23
30
18,899
male
white
it
20-29
59.2
3,840
2,160
30.03
30
18,900
male
asian
en
40-49
43.9
3,840
2,160
33.87
24
18,901
male
white
en
30-39
82.7
3,840
2,160
38.68
60
18,902
male
black
en
20-29
26.7
3,840
2,160
27.86
24
18,903
male
black
en
20-29
81
3,840
2,160
82.83
24
18,904
male
black
en
20-29
81.7
3,840
2,160
83.21
24
18,905
male
white
en
40-49
123.6
3,840
2,160
26.16
30
18,906
male
white
en
40-49
147.5
3,840
2,160
33.63
30
18,907
male
black
en
3-9
40.3
3,840
2,160
21.59
30
18,908
male
black
en
3-9
38.5
3,840
2,160
21.39
30
18,909
male
black
en
3-9
80.6
3,840
2,160
40.54
30
18,910
male
black
en
3-9
104.3
3,840
2,160
54.82
30
18,911
male
white
en
20-29
107.2
3,840
2,160
21.52
30
18,912
male
white
en
30-39
22.4
2,560
1,440
24.15
24
18,913
male
white
en
40-49
104.8
3,840
2,160
75.88
30
18,914
male
white
en
40-49
52.1
3,840
2,160
45.55
30
18,915
male
white
en
40-49
66.5
3,840
2,160
45.95
30
18,916
male
white
it
40-49
29.1
1,920
1,080
24.53
30
18,917
male
white
en
40-49
63.2
3,840
2,160
33.72
25
18,918
male
black
en
30-39
48.5
3,840
2,160
27.66
59.9
18,919
male
white
en
30-39
36.6
3,840
2,160
29.53
24
18,920
male
white
en
30-39
48.8
3,840
2,160
40.12
24
18,921
male
white
en
30-39
68
3,840
2,160
57.02
24
18,922
male
white
en
30-39
38.5
3,840
2,160
32.49
24
18,923
male
white
en
30-39
42.5
3,840
2,160
35.24
24
18,924
male
white
en
30-39
29.1
3,840
2,160
23.23
24
18,925
male
white
en
30-39
69.3
3,840
2,160
54.97
24
18,926
male
white
en
30-39
37.9
3,840
2,160
29.24
24
22,547
male
asian
ko
20-29
77.7
3,840
2,160
40.69
59.9
18,928
male
black
it
30-39
32.9
3,840
2,160
20.93
30
18,929
male
black
it
30-39
88.8
3,840
2,160
51.23
30
18,930
male
black
it
30-39
136.5
3,840
2,160
82.63
30
18,931
male
asian
en
20-29
30.5
3,840
2,160
20.89
30
18,932
male
white
en
20-29
55.6
3,840
2,160
21.63
30
18,933
male
white
en
20-29
85.8
3,840
2,160
38.23
30
18,934
male
white
en
20-29
45.7
3,840
2,160
20.43
30
18,935
male
white
en
20-29
47
3,840
2,160
20.83
30
18,936
male
white
en
40-49
22.2
1,920
1,080
21.4
60
18,937
male
white
en
40-49
20.9
1,920
1,080
20.17
60
18,938
male
white
en
30-39
18.9
1,920
1,080
26.97
60
18,939
male
white
en
50-59
400.2
3,840
2,160
151.47
30
18,940
male
white
en
50-59
410.3
3,840
2,160
141.03
30
18,941
male
black
en
3-9
60.7
3,840
2,160
28.19
30
18,942
male
black
en
30-39
9.2
1,920
1,080
20.72
30
18,943
male
asian
en
20-29
78.1
3,840
2,160
61.52
24
18,944
male
asian
en
20-29
35.2
3,840
2,160
29.24
24
18,945
male
white
en
40-49
37.1
3,840
2,160
22.27
24
18,946
male
white
en
40-49
34.4
3,840
2,160
20.85
24
18,947
male
black
en
30-39
29.4
3,840
2,160
20.77
24
18,948
male
black
en
30-39
42.2
3,840
2,160
30.07
24
18,949
male
black
en
30-39
30.4
3,840
2,160
23.19
24
18,950
male
black
en
30-39
44.8
3,840
2,160
34.03
24
18,951
male
black
en
30-39
39.8
3,840
2,160
29.57
24
18,952
male
black
en
30-39
209.7
3,840
2,160
141.56
24
18,953
male
black
en
30-39
32.2
3,840
2,160
22.77
24
18,954
male
black
en
30-39
32.2
3,840
2,160
26.65
24
18,955
male
black
en
30-39
36.6
3,840
2,160
23.65
24
18,956
male
black
en
30-39
52.9
3,840
2,160
43.04
24
18,957
male
black
en
30-39
44.8
3,840
2,160
29.78
24
18,958
female
white
en
20-29
37.6
3,840
2,160
36.24
30
18,959
female
white
en
20-29
51.1
3,840
2,160
45.95
30
18,960
female
white
en
40-49
177.8
3,840
2,160
48.98
30
18,961
female
white
en
40-49
178.4
3,840
2,160
51.28
30
18,962
female
white
en
40-49
135.8
3,840
2,160
38.2
30
18,963
male
white
en
30-39
80.6
3,840
2,160
58.32
60
18,964
male
white
en
30-39
92.4
3,840
2,160
61.52
60
18,965
male
white
en
30-39
87.3
3,840
2,160
42.12
25
18,966
male
white
en
30-39
75.9
3,840
2,160
30.48
25
18,967
male
white
en
30-39
161.3
3,840
2,160
73.8
25
18,968
male
white
en
30-39
36.5
3,840
2,160
28.53
24