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
5,667
male
white
en
30-39
77.9
3,840
2,160
39.53
60
5,668
male
white
en
30-39
50.8
3,840
2,160
27.27
60
5,669
male
black
en
40-49
83.5
3,840
2,160
24.02
24
5,670
male
black
en
40-49
120.4
3,840
2,160
43.79
24
5,671
male
black
en
40-49
159.3
3,840
2,160
77.45
24
5,672
female
white
en
20-29
28.8
1,920
1,080
30.36
59.9
5,673
male
white
en
30-39
197.8
3,840
2,160
86.04
24
5,674
male
white
en
30-39
199.3
3,840
2,160
85.29
24
5,675
male
white
en
30-39
76.7
3,840
2,160
30.2
59.9
5,676
male
white
en
30-39
76.7
3,840
2,160
39.64
59.9
5,677
male
white
en
30-39
130.2
3,840
2,160
52.8
59.9
5,678
female
white
en
30-39
30.4
1,920
1,080
67.43
30
5,679
female
white
en
30-39
8.3
1,920
1,080
20.79
30
5,680
male
white
en
30-39
79.9
3,840
2,160
33.5
24
5,681
male
black
en
20-29
46.8
3,840
2,160
29.03
24
5,682
female
white
en
30-39
43.5
3,840
2,160
27.99
24
5,683
female
white
en
30-39
45.5
3,840
2,160
29.61
24
5,684
female
white
en
30-39
39.8
3,840
2,160
25.48
24
5,685
male
white
en
20-29
85.4
1,920
1,080
167.56
25
5,686
male
asian
en
20-29
32.3
3,840
2,160
20.52
25
5,687
male
white
en
20-29
95.9
3,840
2,160
46.1
30
5,688
male
white
en
20-29
68.1
3,840
2,160
46.44
25
5,689
male
white
en
20-29
81.1
3,840
2,160
46.08
25
5,690
male
white
en
20-29
14.3
1,920
1,080
35.5
24
5,691
male
white
en
30-39
53.9
3,840
2,160
31.2
24
5,692
male
white
en
30-39
39.1
3,840
2,160
27
25
5,693
male
white
en
30-39
68
3,840
2,160
50.95
30
5,694
male
white
en
30-39
128.5
3,840
2,160
48.85
30
5,695
male
white
en
30-39
32.5
3,840
2,160
24.6
25
5,696
male
white
en
30-39
26.9
3,840
2,160
21.84
25
5,697
male
white
en
30-39
29
3,840
2,160
22.8
25
5,698
male
white
en
30-39
55.3
3,840
2,160
22.34
50
5,699
female
asian
en
20-29
75.3
3,840
2,160
33.79
24
5,700
female
asian
en
20-29
83.3
3,840
2,160
39.42
24
5,701
female
asian
en
20-29
53.5
3,840
2,160
25.46
24
5,702
female
asian
en
20-29
81.1
3,840
2,160
36.67
24
5,703
female
asian
en
20-29
193
3,840
2,160
89.5
24
5,704
female
asian
en
20-29
43.3
3,840
2,160
21.42
24
5,705
female
asian
en
20-29
55.6
3,840
2,160
25.92
24
5,706
male
black
en
30-39
234.1
3,840
2,160
110.93
60
5,707
male
black
en
30-39
66.7
3,840
2,160
31.12
60
5,708
male
white
en
50-59
254.1
3,840
2,160
97.44
25
5,709
male
white
en
40-49
29.7
3,840
2,160
27.28
24
5,710
male
white
en
40-49
30.1
3,840
2,160
23.23
24
5,711
male
white
en
40-49
34.9
3,840
2,160
26.74
24
5,712
male
white
en
40-49
23.2
3,840
2,160
20.31
24
5,713
male
white
en
30-39
522.9
3,840
2,160
98.23
59.9
5,714
male
black
en
20-29
36
3,840
2,160
25.33
30
5,715
female
white
en
10-19
24.4
1,920
1,080
28.8
30
5,716
female
white
en
10-19
26
1,920
1,080
30.43
30
5,717
female
white
en
10-19
17.6
1,920
1,080
21.97
30
5,718
male
white
en
50-59
54.9
3,840
2,160
27.49
30
5,719
male
white
en
20-29
46.2
3,840
2,160
23.42
24
5,720
male
white
en
20-29
39.3
3,840
2,160
21.79
24
5,721
male
white
en
30-39
17.8
1,920
1,080
46.3
24
5,722
male
white
en
30-39
27.4
1,920
1,080
75.87
24
5,723
male
white
en
30-39
19.8
1,920
1,080
53.6
24
5,724
male
white
en
30-39
36.4
1,920
1,080
98.39
24
5,725
male
white
en
40-49
28.2
3,840
2,160
21.02
30
5,726
male
white
en
40-49
41.8
3,840
2,160
23.48
24
5,727
female
asian
en
20-29
44.7
3,840
2,160
20.65
24
5,728
female
asian
en
20-29
54
3,840
2,160
24.52
24
5,729
female
asian
en
20-29
42.9
3,840
2,160
20.56
24
5,730
female
asian
en
20-29
75.2
3,840
2,160
34.62
24
5,731
female
asian
en
20-29
92.7
3,840
2,160
40.29
24
5,732
female
asian
en
20-29
49.1
3,840
2,160
23.23
24
5,733
female
asian
en
20-29
52.1
3,840
2,160
23.86
24
5,734
female
asian
en
20-29
121.4
3,840
2,160
52.55
24
5,735
female
asian
en
20-29
46.2
3,840
2,160
20.9
24
5,736
female
asian
en
20-29
77.9
3,840
2,160
30.74
24
5,737
female
white
en
20-29
22.6
1,920
1,080
25.63
30
5,738
male
white
en
20-29
16.3
3,840
2,160
21.12
60
5,739
male
white
en
20-29
23.5
3,840
2,160
30.67
60
5,740
male
white
en
20-29
16.6
3,840
2,160
21.67
60
5,741
male
white
en
30-39
90.9
3,840
2,160
45.8
30
5,742
female
white
en
30-39
11.8
1,920
1,080
34.13
30
5,743
female
white
en
20-29
22.1
1,920
1,080
51.25
30
5,744
female
white
en
20-29
41.4
1,920
1,080
84.18
30
5,745
male
white
en
40-49
32.4
3,840
2,160
25.78
24
5,746
male
white
en
20-29
16.3
1,920
1,080
48.25
30
5,747
male
white
en
20-29
13.7
1,920
1,080
38.94
30
5,748
female
white
en
60-69
19.3
1,920
1,080
25.63
30
5,749
female
white
en
60-69
27
1,920
1,080
28.9
30
5,750
male
white
en
30-39
8
1,920
1,080
26.36
24
5,751
male
white
en
30-39
6.4
1,920
1,080
21.15
24
5,752
male
white
en
30-39
6.2
1,920
1,080
20.48
24
5,753
male
white
en
30-39
6.7
1,920
1,080
22.23
24
5,754
male
white
en
30-39
10.8
1,920
1,080
28.61
24
5,755
male
white
en
30-39
7.2
1,920
1,080
25.48
24
5,756
male
white
en
30-39
8
1,920
1,080
28.74
24
5,757
male
white
en
30-39
7.1
1,920
1,080
24.86
24
5,758
male
white
en
30-39
7.9
1,920
1,080
25.86
24
5,759
male
white
en
30-39
37.9
3,840
2,160
30.63
30
5,760
female
black
en
30-39
27.6
1,920
1,080
23.02
30
5,761
male
white
en
30-39
20.5
3,840
2,160
25.79
30
5,762
male
white
en
30-39
16.4
3,840
2,160
21.22
30
5,763
female
asian
en
20-29
44.5
3,840
2,160
33.16
24
5,764
female
asian
en
20-29
33.5
3,840
2,160
26.36
24
5,765
female
asian
en
20-29
35.1
3,840
2,160
25.65
24
5,766
female
asian
en
20-29
45.1
3,840
2,160
32.28
24