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
15,532
male
white
en
20-29
35.8
3,840
2,160
20.23
24
15,533
male
white
en
20-29
46.6
3,840
2,160
29.03
24
15,534
male
white
en
20-29
39.7
3,840
2,160
22.98
24
15,535
male
white
en
20-29
52.6
3,840
2,160
29.61
24
15,536
male
white
en
20-29
56.8
3,840
2,160
30.86
24
15,537
female
white
en
20-29
5.4
1,920
1,080
26.28
25
15,538
female
white
en
20-29
4.5
1,920
1,080
21.04
25
15,539
male
black
en
30-39
40
3,840
2,160
20.48
24
15,540
male
black
en
30-39
74.3
3,840
2,160
37.79
24
15,541
male
black
en
30-39
41
3,840
2,160
20.48
24
15,542
male
black
en
30-39
115.7
3,840
2,160
58.73
24
15,543
male
white
en
30-39
57.5
3,840
2,160
33.83
30
15,544
male
white
en
30-39
52.4
3,840
2,160
32.43
30
15,545
male
white
en
30-39
28.1
3,840
2,160
20.95
30
15,546
male
white
en
30-39
37.2
3,840
2,160
45.84
25
15,547
male
white
en
30-39
676.4
3,840
2,160
164.43
60
15,548
male
white
en
30-39
475.8
3,840
2,160
117.17
60
15,549
male
white
en
20-29
88.7
3,840
2,160
29.76
25
15,550
male
white
en
20-29
125.1
3,840
2,160
38.88
25
15,551
male
asian
en
20-29
30
2,560
1,440
42.92
24
15,552
male
white
en
30-39
40.8
3,840
2,160
25.4
24
15,553
male
white
en
30-39
36.8
3,840
2,160
21.86
24
15,554
male
white
en
20-29
7.8
1,920
1,080
29.16
25
15,555
male
white
en
20-29
12.9
1,920
1,080
37.8
25
15,556
male
white
en
20-29
47.9
3,840
2,160
63.36
25
15,557
male
white
en
20-29
72.5
3,840
2,160
95.64
25
15,558
male
white
en
20-29
37.8
3,840
2,160
48.72
25
15,559
male
white
en
20-29
39.6
3,840
2,160
51.72
25
15,560
male
white
en
50-59
178.4
3,840
2,160
51.89
24
15,561
male
white
en
50-59
302.1
3,840
2,160
92.05
24
15,562
male
white
en
30-39
12.9
1,920
1,080
35.79
24
15,563
male
white
en
30-39
7.2
1,920
1,080
21.6
25
15,564
male
white
en
30-39
7
1,920
1,080
21.92
25
15,565
male
white
en
30-39
595.8
3,840
2,160
178.62
60
15,566
female
black
en
30-39
11.2
1,920
1,080
26.28
25
15,567
female
black
en
30-39
9.7
1,920
1,080
21
25
15,568
male
white
en
30-39
24.6
1,920
1,080
30.2
30
15,569
male
white
en
30-39
42.2
1,920
1,080
51.63
30
15,570
male
white
en
30-39
26.6
1,920
1,080
32.23
30
15,571
female
asian
en
30-39
31.1
3,840
2,160
21.27
24
15,572
female
asian
en
30-39
31.4
3,840
2,160
22.52
24
15,573
female
asian
en
30-39
31.3
3,840
2,160
21.06
24
15,574
male
white
en
50-59
12.2
1,920
1,080
21.72
25
15,575
male
white
en
30-39
79.8
3,840
2,160
23.52
60
15,576
male
white
en
30-39
27.3
3,840
2,160
46.3
24
15,577
male
white
en
30-39
28.3
3,840
2,160
23.11
24
15,578
male
white
en
30-39
13.2
3,840
2,160
23.4
24
15,579
male
white
en
30-39
27.7
3,840
2,160
44.92
24
15,580
male
white
en
30-39
15.9
3,840
2,160
27.9
24
15,581
male
white
en
30-39
91.6
3,840
2,160
68.82
24
15,582
male
white
en
20-29
304.4
3,840
2,160
177.76
24
15,583
male
white
en
20-29
71.2
3,840
2,160
43.96
24
15,584
male
white
en
30-39
11.8
1,920
1,080
21.24
25
15,585
male
white
en
30-39
11.9
1,920
1,080
21.72
25
15,586
male
white
en
30-39
79.8
3,840
2,160
32.22
60
15,587
male
white
en
30-39
80.8
3,840
2,160
25.27
60
15,588
male
white
en
30-39
70.6
3,840
2,160
21.42
60
15,589
male
white
en
30-39
81.8
3,840
2,160
24.22
60
15,590
male
white
en
30-39
108.7
3,840
2,160
25.28
60
15,591
male
white
en
30-39
93.5
3,840
2,160
27.32
60
15,592
male
asian
tl
20-29
17.9
1,920
1,080
26.43
30
15,593
male
asian
tl
20-29
19.1
1,920
1,080
25.46
30
15,594
male
white
en
20-29
38.8
3,840
2,160
25.93
30
15,595
male
white
en
20-29
51.2
3,840
2,160
23.12
30
15,596
male
white
en
20-29
216.4
3,840
2,160
142.41
30
15,598
male
black
en
20-29
11.7
1,920
1,080
34.83
30
15,599
male
black
en
20-29
9.3
1,920
1,080
30.77
30
15,600
male
black
en
20-29
13.2
1,920
1,080
38.73
30
15,601
male
black
en
20-29
5.6
1,920
1,080
21.53
30
15,602
male
white
en
20-29
44.6
1,920
1,080
116.84
25
15,603
male
black
en
20-29
18.3
1,920
1,080
61.23
30
15,604
male
black
en
20-29
26.5
1,920
1,080
84.03
30
15,605
male
black
en
20-29
26.7
1,920
1,080
104.9
30
15,606
male
white
en
20-29
28.6
1,920
1,080
70.57
24
15,607
male
white
en
20-29
23.8
3,840
2,160
22.92
24
15,608
male
white
en
30-39
157.9
3,840
2,160
44.93
30
15,609
female
black
en
20-29
13.4
1,920
1,080
21.46
24
15,610
female
black
en
20-29
26.4
1,920
1,080
46.17
24
15,611
female
asian
en
30-39
9.8
1,920
1,080
49.01
24
15,612
male
white
en
30-39
59.5
3,840
2,160
28.4
24
15,613
male
black
en
20-29
55.3
3,840
2,160
21.23
30
15,614
male
white
en
30-39
36
3,840
2,160
26.03
30
15,615
male
asian
en
20-29
18.2
3,840
2,160
21.53
30
15,616
male
asian
en
20-29
23.4
3,840
2,160
26.93
30
15,617
male
asian
en
20-29
38.8
3,840
2,160
45.03
30
15,618
male
white
en
20-29
33.9
3,840
2,160
32.04
25
15,619
male
white
en
30-39
82
3,840
2,160
39.44
30
15,620
male
white
en
30-39
40.1
3,840
2,160
27.43
30
15,621
female
white
en
20-29
11.7
1,920
1,080
24.42
30
15,622
female
white
en
20-29
16.5
1,920
1,080
30.33
30
15,623
female
white
en
20-29
11.8
1,920
1,080
22.49
30
15,624
male
asian
en
30-39
81.5
3,840
2,160
56.31
24
15,625
male
asian
en
30-39
31.8
3,840
2,160
21.65
24
15,626
male
asian
en
30-39
93.9
3,840
2,160
71.24
24
15,627
male
white
en
40-49
80.8
3,840
2,160
30.63
30
15,628
male
white
en
40-49
79.7
3,840
2,160
29.4
25
15,629
male
white
en
30-39
37.4
3,840
2,160
30.12
25
15,630
male
white
en
20-29
80.9
3,840
2,160
30.83
30
15,631
male
white
en
20-29
72.9
3,840
2,160
27.77
30
15,632
male
white
en
20-29
51.5
3,840
2,160
21.43
30