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
44,495
female
asian
en
20-29
21.7
1,920
1,080
57.88
24
44,496
female
asian
en
20-29
22.4
1,920
1,080
62.58
24
44,497
female
asian
en
20-29
20.1
1,920
1,080
57.29
24
44,498
male
white
pt
40-49
20.4
1,920
1,080
58.56
30
44,499
female
white
en
20-29
20.6
1,920
1,080
41.4
25
44,500
male
white
pt
30-39
19.9
1,920
1,080
25.83
30
44,501
male
white
pt
20-29
45.4
1,920
1,080
68.42
60
44,502
female
white
pt
20-29
27.9
1,920
1,080
28.3
30
44,503
male
white
pt
30-39
115.7
3,840
2,160
56.83
30
44,504
male
white
pt
30-39
191.7
3,840
2,160
89.83
30
44,505
male
white
pt
30-39
157.1
3,840
2,160
70.63
30
44,506
male
white
pt
30-39
222.4
3,840
2,160
103.33
30
44,507
male
white
pt
30-39
82.8
3,840
2,160
40
30
44,508
male
white
pt
30-39
74.8
3,840
2,160
35.03
30
44,509
male
white
pt
30-39
175.9
3,840
2,160
83.23
30
44,510
male
white
pt
30-39
95.1
3,840
2,160
45.23
30
44,511
male
white
pt
30-39
53.9
3,840
2,160
23.13
30
44,512
male
white
pt
30-39
171.7
3,840
2,160
77.83
30
44,513
male
white
en
30-39
12.7
1,920
1,080
28.73
30
44,514
female
white
pt
30-39
11.4
1,920
1,080
26.83
30
44,515
male
indian
pt
20-29
76
3,840
2,160
31.83
30
44,516
male
asian
en
30-39
54.7
1,920
1,080
126.17
24
44,517
male
asian
en
30-39
11
1,920
1,080
24.12
24
44,518
male
asian
en
30-39
38.7
1,920
1,080
79.79
24
44,519
male
asian
en
30-39
18.4
1,920
1,080
42.67
24
44,520
male
asian
en
30-39
49.5
1,920
1,080
109.42
24
44,521
male
white
pt
20-29
47
3,840
2,160
24.19
24
44,522
male
white
pt
20-29
90.5
3,840
2,160
45.09
24
44,523
male
white
pt
20-29
78.5
3,840
2,160
39
24
44,524
male
white
pt
30-39
25
1,920
1,080
51.1
59.9
44,525
male
white
pt
30-39
12.6
1,920
1,080
26.98
59.9
44,526
male
white
pt
30-39
11.4
1,920
1,080
25.91
59.9
44,527
male
white
pt
30-39
10.5
1,920
1,080
22.22
59.9
44,528
male
white
pt
20-29
22.1
1,920
1,080
21.42
59.9
44,529
male
white
pt
20-29
24
3,840
2,160
31.71
24
44,530
male
white
en
50-59
8
1,920
1,080
24.05
60
44,531
male
white
pt
20-29
31.6
3,840
2,160
28.74
24
44,532
male
white
pt
30-39
21.1
1,920
1,080
75.58
24
44,533
male
white
pt
30-39
13.3
1,920
1,080
44.54
24
44,534
male
white
pt
30-39
20.7
1,920
1,080
81.58
24
44,535
male
white
pt
30-39
14.7
1,920
1,080
56.56
24
44,536
male
white
pt
30-39
8.7
1,920
1,080
35.12
24
44,537
male
white
pt
30-39
7.5
1,920
1,080
27.03
24
44,538
male
white
pt
30-39
10.7
1,920
1,080
39.16
24
44,539
male
white
pt
30-39
6.6
1,920
1,080
25.28
24
44,540
male
white
pt
30-39
39.8
1,920
1,080
145.52
24
44,541
male
white
pt
30-39
16.3
1,920
1,080
52.47
24
44,542
male
white
pt
30-39
11.4
1,920
1,080
38.79
24
44,543
male
black
en
20-29
143.7
1,920
1,080
177.4
25
44,544
female
white
en
20-29
58.6
3,840
2,160
44.92
24
44,545
female
white
en
20-29
34.5
3,840
2,160
31.41
24
44,546
female
white
en
20-29
30.8
3,840
2,160
29.74
24
44,547
female
white
en
20-29
37.4
3,840
2,160
29.4
24
44,548
female
white
en
20-29
33
3,840
2,160
27.03
24
44,549
female
white
pt
20-29
32.3
3,840
2,160
23.36
24
44,550
male
white
pt
20-29
65
3,840
2,160
32.16
24
44,551
male
white
pt
20-29
82.6
3,840
2,160
40.08
24
44,552
male
white
pt
20-29
43.2
3,840
2,160
22.23
24
44,553
male
white
pt
20-29
49.8
3,840
2,160
26.19
24
44,554
male
white
pt
20-29
67.8
3,840
2,160
41.17
24
44,555
male
white
pt
20-29
232.2
3,840
2,160
120.87
24
44,556
male
white
pt
20-29
63
3,840
2,160
32.24
24
44,557
male
white
pt
20-29
63.4
3,840
2,160
32.41
24
44,558
female
white
en
20-29
6.2
1,920
1,080
20.31
24
44,559
female
white
en
20-29
19.8
1,920
1,080
66.27
24
44,560
female
white
en
20-29
19.8
1,920
1,080
55.35
24
44,561
male
white
en
20-29
25.1
1,920
1,080
35.9
30
44,562
male
white
en
20-29
11.7
1,920
1,080
20.22
30
44,563
female
asian
en
20-29
23.6
1,920
1,080
39.79
59.9
44,564
female
asian
en
20-29
21.6
1,920
1,080
35.6
59.9
44,565
female
asian
en
20-29
28.3
1,920
1,080
47.51
59.9
44,566
female
asian
en
20-29
27.8
1,920
1,080
45.21
59.9
44,567
female
asian
en
20-29
29.5
1,920
1,080
48.42
59.9
44,568
female
asian
en
20-29
15.8
1,920
1,080
26.69
59.9
44,569
female
asian
en
20-29
14.1
1,920
1,080
23.52
59.9
44,570
female
asian
en
20-29
12.7
1,920
1,080
21.15
59.9
44,571
female
asian
en
20-29
19
1,920
1,080
31.43
59.9
44,572
female
asian
en
20-29
16.7
1,920
1,080
27.98
59.9
44,573
female
asian
en
20-29
25.8
1,920
1,080
42.78
59.9
44,574
female
white
en
20-29
18.4
1,920
1,080
30.23
30
44,575
male
white
en
40-49
17.5
1,920
1,080
27.73
30
44,576
male
black
pt
20-29
44.4
3,840
2,160
29.2
30
44,577
male
indian
pt
30-39
8.8
1,920
1,080
21.94
24
44,578
male
indian
pt
30-39
9.9
1,920
1,080
23.86
24
44,579
male
asian
en
20-29
86.3
3,840
2,160
32.91
24
44,580
male
asian
en
20-29
44.3
3,840
2,160
29.49
24
44,581
female
black
en
20-29
17.7
1,920
1,080
23.32
60
44,582
female
black
en
20-29
58.7
1,920
1,080
76.62
60
44,583
female
black
en
20-29
40.2
1,920
1,080
51.73
60
44,584
female
black
en
20-29
32.2
1,920
1,080
35.92
60
44,585
male
white
pt
30-39
226.5
1,920
1,080
132.63
30
44,586
male
white
pt
20-29
11.6
1,920
1,080
28.33
30
44,587
male
white
pt
20-29
12.7
1,920
1,080
32.33
30
44,588
male
white
pt
30-39
92.1
3,840
2,160
38.94
30
44,589
male
white
pt
30-39
54.5
3,840
2,160
22.72
30
44,590
male
white
pt
30-39
62
3,840
2,160
24.82
30
44,591
male
white
pt
30-39
60.9
3,840
2,160
24.42
30
44,592
male
white
pt
30-39
189.4
3,840
2,160
77.28
30
44,593
male
white
pt
30-39
64.6
3,840
2,160
23.49
30
44,594
male
white
pt
30-39
83.5
3,840
2,160
32.37
30