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
13,111
male
white
en
30-39
76
3,840
2,160
40.34
30
13,112
male
white
en
30-39
110
3,840
2,160
53.72
30
13,113
male
white
en
30-39
86.1
3,840
2,160
42.54
30
13,114
male
white
en
30-39
172.9
3,840
2,160
85.99
30
13,115
male
white
en
30-39
101.4
3,840
2,160
47.95
30
13,116
male
white
en
30-39
33.2
3,840
2,160
36.2
30
13,117
male
white
en
30-39
24.1
3,840
2,160
25.73
30
13,118
male
white
en
30-39
78
3,840
2,160
22.29
30
13,119
male
white
en
30-39
27.7
3,840
2,160
25.89
30
13,120
male
white
en
30-39
26.6
3,840
2,160
25.63
30
13,121
female
white
en
20-29
233.4
3,840
2,160
175.13
30
13,122
male
white
en
20-29
62.3
3,840
2,160
40.24
30
13,123
male
white
en
20-29
36.6
3,840
2,160
24.96
30
13,124
male
white
en
30-39
37.8
3,840
2,160
23.02
24
13,125
female
white
en
20-29
34.1
1,920
1,080
59.06
24
13,126
male
white
en
30-39
22.7
1,920
1,080
33.4
30
13,127
male
white
en
30-39
17.6
1,920
1,080
22.62
30
13,128
male
white
en
30-39
23.3
1,920
1,080
44.24
30
13,129
male
white
en
30-39
64.1
1,920
1,080
109.34
30
13,130
female
white
en
20-29
87.8
1,920
1,080
170.96
24
13,131
male
black
en
30-39
33.9
1,920
1,080
51
30
13,132
male
black
en
30-39
62.3
1,920
1,080
99.03
30
13,133
male
white
en
20-29
21.8
3,840
2,160
22.39
30
13,134
male
white
en
40-49
101.2
3,840
2,160
48.9
30
13,135
male
asian
en
10-19
35.8
3,840
2,160
20.35
30
13,136
male
asian
en
10-19
30.3
3,840
2,160
20.29
30
13,137
female
white
en
20-29
23.6
1,920
1,080
35.16
24
13,138
female
white
en
20-29
20.9
1,920
1,080
25.23
24
13,139
female
white
en
20-29
13.9
1,920
1,080
23.73
24
13,140
female
white
en
20-29
22.7
1,920
1,080
28.74
24
13,141
male
white
en
20-29
43.9
3,840
2,160
37.37
24
13,142
male
white
en
20-29
38.4
3,840
2,160
32.37
24
13,143
male
white
en
20-29
26.9
3,840
2,160
22.61
24
13,144
male
white
en
50-59
38.3
3,840
2,160
25.28
24
13,145
male
white
en
20-29
74.9
2,560
1,440
50.47
60
13,146
male
white
en
20-29
51.8
2,560
1,440
35.52
60
13,147
male
white
en
20-29
247.1
2,560
1,440
165.67
60
13,148
male
white
en
20-29
34.1
3,840
2,160
42.67
24
13,149
male
white
en
20-29
57
3,840
2,160
35.79
24
13,150
male
indian
en
30-39
61
3,840
2,160
35.91
24
13,151
male
indian
en
30-39
88.9
3,840
2,160
52.47
24
13,152
male
indian
en
30-39
109.5
3,840
2,160
70.24
24
13,153
male
white
en
30-39
56.6
3,840
2,160
26.42
24
13,154
male
white
en
30-39
52.2
3,840
2,160
21.58
24
13,155
male
white
en
30-39
59.4
3,840
2,160
30.67
24
13,156
male
white
en
30-39
58.1
3,840
2,160
29.67
24
13,157
male
white
en
30-39
40.1
3,840
2,160
20.17
24
13,174
male
white
en
30-39
53.7
3,840
2,160
41.04
24
13,175
male
white
en
30-39
59.8
3,840
2,160
22.4
24
13,176
female
asian
en
20-29
19.3
1,920
1,080
25.83
59.9
13,177
female
asian
en
20-29
16.8
1,920
1,080
24.04
59.9
13,178
female
asian
en
20-29
13.5
1,920
1,080
21.45
59.9
13,179
female
asian
en
20-29
32.5
1,920
1,080
54.54
59.9
13,180
female
asian
en
20-29
23.4
1,920
1,080
37.25
59.9
13,181
female
asian
en
20-29
12.3
1,920
1,080
21.92
59.9
13,182
female
asian
en
20-29
17.5
1,920
1,080
32.18
59.9
13,183
female
asian
en
20-29
22.1
1,920
1,080
33.28
59.9
13,184
male
white
en
50-59
60.1
3,840
2,160
23.82
30
13,185
male
white
en
20-29
26.6
1,920
1,080
83.25
24
13,186
male
white
en
20-29
57.9
1,920
1,080
178.18
24
13,187
male
white
en
30-39
41.5
1,920
1,080
79.08
30
13,188
female
asian
en
20-29
19.2
1,920
1,080
32.6
30
13,189
female
asian
en
20-29
16.8
1,920
1,080
31.13
30
13,190
female
asian
en
20-29
27.7
1,920
1,080
44.34
30
13,191
male
white
en
20-29
37.1
1,920
1,080
137.77
30
13,192
male
white
en
20-29
7.5
1,920
1,080
26.83
30
13,193
male
white
en
20-29
11.8
1,920
1,080
43.04
30
13,194
male
white
en
20-29
31.8
1,920
1,080
116.05
30
13,195
male
white
en
20-29
5.7
1,920
1,080
22.96
30
13,196
male
white
en
20-29
7.2
1,920
1,080
23.09
30
13,197
male
white
en
20-29
6
1,920
1,080
22.96
30
13,198
male
white
en
20-29
6
1,920
1,080
21.72
30
13,199
male
white
en
20-29
5.8
1,920
1,080
22.39
30
13,200
male
white
en
20-29
12.6
1,920
1,080
48.05
30
13,201
male
white
en
30-39
51.4
3,840
2,160
30.23
30
13,202
female
white
en
10-19
31.4
1,920
1,080
35.84
30
13,203
male
white
en
20-29
19.6
1,920
1,080
40.52
60
13,204
male
white
en
30-39
10.2
1,920
1,080
28.88
24
13,205
male
white
en
40-49
183.7
3,840
2,160
50.72
30
13,206
male
white
en
20-29
106.9
3,840
2,160
85.28
25
13,207
male
white
en
20-29
53.4
3,840
2,160
42.28
25
13,208
male
white
en
20-29
51.6
3,840
2,160
42.56
25
13,209
male
white
en
20-29
100.4
3,840
2,160
86.8
25
13,210
male
white
en
20-29
60.8
3,840
2,160
49.16
25
13,211
male
asian
en
20-29
35.9
3,840
2,160
23.04
24
13,212
female
white
en
20-29
58.4
1,920
1,080
56.53
30
13,213
female
black
en
20-29
23.8
1,920
1,080
48.67
30
13,214
female
black
en
20-29
12
1,920
1,080
22.07
30
13,215
female
black
en
20-29
69
1,920
1,080
140.3
30
13,216
female
black
en
20-29
78.9
1,920
1,080
174.97
30
13,217
female
black
en
20-29
18.4
1,920
1,080
39.97
30
13,218
female
black
en
20-29
22.1
1,920
1,080
47.57
30
13,219
male
white
en
20-29
35.8
3,840
2,160
22.89
30
13,220
male
white
en
20-29
34.3
3,840
2,160
22.42
30
13,221
male
white
en
20-29
57.9
3,840
2,160
36.34
30
13,222
male
white
en
20-29
71.4
3,840
2,160
43.11
30
13,223
male
white
en
30-39
22.7
1,920
1,080
114.28
30
13,224
male
white
en
30-39
14
1,920
1,080
68.57
30
13,225
male
black
en
20-29
41.6
3,840
2,160
28.4
30
13,226
female
white
en
20-29
25.6
1,920
1,080
44.34
30