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
15,131
male
white
en
40-49
12.4
1,920
1,080
29
30
15,132
male
white
en
30-39
16
1,920
1,080
29.15
24
15,133
male
white
en
30-39
11.1
1,920
1,080
25.9
24
15,134
male
white
en
30-39
12.2
1,920
1,080
27.65
24
15,135
female
black
en
20-29
10.9
1,920
1,080
20.32
30
15,136
female
white
en
30-39
20.9
1,920
1,080
45.45
30
15,137
female
white
en
30-39
13.1
1,920
1,080
30.53
30
15,138
male
white
en
30-39
94.6
3,840
2,160
58.8
25
15,139
male
white
en
30-39
85.7
3,840
2,160
51
25
15,140
male
white
en
30-39
68.1
3,840
2,160
37.96
25
15,141
male
white
en
30-39
35.9
3,840
2,160
20.16
25
15,142
male
white
en
30-39
79.8
3,840
2,160
45.48
25
15,143
male
white
en
30-39
54.5
3,840
2,160
32.28
25
15,144
male
white
en
30-39
53.7
3,840
2,160
30.96
25
15,145
male
white
en
30-39
83.7
3,840
2,160
46.8
25
15,146
male
black
en
30-39
47.4
3,840
2,160
23.42
24
15,147
male
black
en
30-39
70.5
3,840
2,160
33.67
24
15,148
male
black
en
30-39
41.7
3,840
2,160
20.79
24
15,149
male
black
en
30-39
73.3
3,840
2,160
33.71
24
15,150
male
black
en
30-39
59.4
3,840
2,160
28.21
24
15,151
female
white
en
30-39
40.5
3,840
2,160
20.89
30
15,152
female
white
en
30-39
39.7
3,840
2,160
20.19
30
15,153
female
white
en
30-39
90.5
3,840
2,160
46.71
30
15,154
female
white
en
30-39
276.1
3,840
2,160
133.83
30
15,155
female
white
en
30-39
57.5
3,840
2,160
29.1
30
15,156
female
white
en
30-39
47.4
3,840
2,160
23.39
30
15,157
female
white
en
30-39
78
3,840
2,160
39.71
30
15,158
female
white
en
30-39
49.3
3,840
2,160
21.69
30
15,159
female
asian
en
30-39
75.5
3,840
2,160
24.11
24
15,160
male
white
en
30-39
33.2
3,840
2,160
26.93
30
15,161
male
white
en
30-39
31
3,840
2,160
24.43
30
15,162
male
white
en
30-39
41.8
3,840
2,160
32.63
30
15,163
male
white
en
30-39
34.7
3,840
2,160
28.03
30
15,164
male
white
en
30-39
27.6
3,840
2,160
21.43
30
15,165
male
asian
en
40-49
10
1,920
1,080
20.13
30
15,166
male
asian
en
40-49
16.7
1,920
1,080
33.73
30
15,167
male
white
en
20-29
44.8
2,842
2,160
22.79
24
15,168
male
indian
en
30-39
34.1
3,840
2,160
26.23
24
15,169
male
white
en
50-59
10.8
1,920
1,080
40.37
30
15,170
male
white
en
20-29
47.4
3,840
2,160
30.36
25
15,171
male
white
en
20-29
31.4
3,840
2,160
20.88
25
15,172
male
white
en
20-29
29.7
3,840
2,160
21.48
25
15,173
female
white
en
20-29
16.1
1,920
1,080
32.92
25
15,174
female
white
en
20-29
69.6
1,920
1,080
171.68
25
15,175
female
white
en
20-29
11.9
1,920
1,080
27.68
25
15,176
male
white
en
30-39
64.2
3,840
2,160
35.29
24
15,177
male
white
en
20-29
12.9
1,920
1,080
26.92
60
15,178
male
white
en
50-59
13.8
1,920
1,080
32.67
24
15,179
male
white
en
50-59
12.4
1,920
1,080
31.62
24
22,515
female
asian
zh-tw
20-29
29.4
3,840
2,160
23.12
30
17,458
male
white
en
30-39
137.8
3,840
2,160
51.45
30
15,182
male
white
en
20-29
39.4
3,840
2,160
33.5
30
15,183
male
white
en
20-29
24.1
3,840
2,160
24.79
30
15,184
male
white
en
20-29
26.6
3,840
2,160
23.29
30
15,185
male
white
en
30-39
49.2
3,840
2,160
36.04
24
15,186
male
black
en
30-39
33.8
3,840
2,160
20.56
24
15,187
male
indian
en
30-39
48.6
3,840
2,160
30.74
24
15,188
male
indian
en
30-39
34.6
3,840
2,160
21.6
24
15,189
male
indian
en
30-39
35.9
3,840
2,160
22.48
24
15,190
male
indian
en
30-39
42.8
3,840
2,160
27.9
24
15,191
male
white
en
30-39
22
1,920
1,080
41.44
59.9
15,192
male
white
en
30-39
19.8
1,920
1,080
36.67
59.9
15,193
male
white
en
30-39
21.5
1,920
1,080
36.24
59.9
15,194
male
white
en
30-39
31
1,920
1,080
52.15
59.9
15,195
male
white
en
30-39
42.3
1,920
1,080
75.04
59.9
15,196
male
white
en
30-39
32.7
1,920
1,080
58.96
59.9
15,197
male
white
en
30-39
10.6
1,920
1,080
21.15
59.9
15,198
female
white
en
20-29
85.7
3,840
2,160
60.12
25
15,199
male
white
en
40-49
378.6
3,840
2,160
73.67
30
15,200
male
white
en
30-39
43
3,840
2,160
21.36
25
15,201
male
white
en
30-39
53.9
3,840
2,160
29.04
25
15,202
male
white
en
30-39
41.3
3,840
2,160
23.16
25
15,203
male
white
en
30-39
63.2
3,840
2,160
34.68
25
15,204
female
white
en
30-39
13.7
1,920
1,080
21.35
30
15,205
female
white
en
20-29
97.7
1,920
1,080
95.57
30
15,206
male
asian
en
40-49
6.1
1,920
1,080
23.4
30
15,207
male
asian
en
40-49
37.8
1,920
1,080
125.5
30
15,208
male
asian
en
40-49
21.1
1,920
1,080
54.47
30
15,209
male
white
en
30-39
116.6
3,840
2,160
35.3
30
15,210
male
white
en
30-39
127.1
3,840
2,160
39.01
30
15,211
male
white
en
40-49
23.3
3,840
2,160
24.42
30
15,212
male
white
en
40-49
22.4
3,840
2,160
22.09
30
15,213
male
white
en
40-49
33
3,840
2,160
25.33
30
15,214
male
white
en
40-49
34.6
3,840
2,160
27.83
30
15,215
male
white
en
40-49
53.5
3,840
2,160
53.89
30
15,216
male
white
en
40-49
33.4
3,840
2,160
31
30
15,217
male
white
en
40-49
27.5
3,840
2,160
27.29
30
15,218
male
white
en
40-49
26.5
3,840
2,160
26.06
30
15,219
female
asian
en
20-29
41
3,840
2,160
21.42
24
15,220
female
white
en
20-29
52.5
3,840
2,160
29.23
30
15,221
female
white
en
20-29
46.5
3,840
2,160
25.63
30
15,222
male
white
en
30-39
49.1
3,840
2,160
29.53
24
15,223
male
white
en
40-49
23
3,840
2,160
25.48
24
15,224
male
white
en
40-49
25
3,840
2,160
28.65
24
15,225
male
white
en
40-49
57
3,840
2,160
53.34
24
15,226
male
white
en
40-49
29.5
3,840
2,160
26.9
24
15,227
male
white
en
40-49
29
3,840
2,160
26.9
24
15,228
male
white
en
40-49
50.2
3,840
2,160
42.13
24
15,229
male
white
en
40-49
33.5
3,840
2,160
28.82
24
15,230
male
white
en
40-49
41.2
3,840
2,160
37.29
24