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
20,172
male
black
en
30-39
118.8
3,840
2,160
46.53
30
20,173
male
black
en
30-39
110.2
3,840
2,160
39.33
30
20,174
male
black
en
30-39
71.5
3,840
2,160
25.83
30
20,175
male
black
en
30-39
102.8
3,840
2,160
42.03
30
20,176
male
black
en
30-39
110.9
3,840
2,160
39.33
30
20,177
male
black
en
30-39
484.5
3,840
2,160
174.67
30
20,178
male
black
en
30-39
278.7
3,840
2,160
94.93
30
20,179
male
black
en
30-39
157.8
3,840
2,160
59.03
30
20,180
male
black
en
30-39
120.1
3,840
2,160
38.63
30
20,181
male
black
en
30-39
77.6
3,840
2,160
27.93
30
20,182
male
black
en
30-39
153.6
3,840
2,160
55.87
30
20,183
male
black
en
30-39
53
3,840
2,160
21.83
30
20,184
male
black
en
40-49
51.9
3,840
2,160
22.97
59.9
20,185
female
asian
en
20-29
399.8
3,840
2,160
103.63
30
20,186
female
black
en
3-9
19.8
1,920
1,080
31.83
30
20,187
male
white
en
30-39
62.4
3,840
2,160
62.06
24
20,188
male
white
en
30-39
37.6
3,840
2,160
38
24
20,189
male
white
en
30-39
73.9
3,840
2,160
72.78
24
20,190
male
white
en
30-39
54.5
3,840
2,160
50.93
24
20,191
male
white
en
30-39
84.8
3,840
2,160
79.08
24
20,192
male
white
en
30-39
90.8
3,840
2,160
81.71
24
20,193
male
white
en
70+
53.5
3,840
2,160
24.53
30
20,194
male
white
en
70+
44.9
3,840
2,160
20.5
30
20,195
male
white
en
30-39
64.5
3,840
2,160
26.19
30
20,196
male
white
en
30-39
68.7
3,840
2,160
30.13
30
20,197
male
white
en
30-39
66.5
3,840
2,160
27.13
30
20,198
female
asian
en
20-29
120.1
3,840
2,160
82.04
24
20,199
female
asian
en
20-29
69.4
3,840
2,160
49.04
24
20,200
male
asian
en
40-49
99
3,840
2,160
51.38
24
20,201
male
asian
en
40-49
41.9
3,840
2,160
20.9
24
20,202
male
asian
en
40-49
74.5
3,840
2,160
40.37
24
20,203
male
white
en
40-49
43
3,840
2,160
24.02
30
20,204
male
white
en
40-49
63
3,840
2,160
37.04
30
20,205
male
white
en
40-49
75.6
3,840
2,160
43.04
30
20,206
male
white
en
20-29
63.8
3,840
2,160
20.09
30
20,207
male
white
en
20-29
58
3,840
2,160
63.33
30
20,208
male
white
en
20-29
25.8
3,840
2,160
25.39
30
20,209
male
white
en
20-29
23.4
3,840
2,160
25.19
30
20,210
male
white
en
20-29
35.8
3,840
2,160
34.1
30
20,211
male
white
en
20-29
40
1,920
1,080
58.76
30
20,212
male
white
en
30-39
319.1
3,840
2,160
86.82
60
20,213
male
white
en
30-39
291.5
3,840
2,160
118.69
30
20,214
male
white
en
30-39
117.5
3,840
2,160
45.05
30
20,215
male
black
en
30-39
44.5
3,840
2,160
23.83
30
20,216
male
white
en
20-29
30
3,840
2,160
27.53
24
20,217
male
white
en
20-29
50.3
3,840
2,160
36.04
24
20,218
male
white
en
20-29
21.2
1,920
1,080
46.92
24
20,219
male
white
en
20-29
12.2
1,920
1,080
27.67
24
20,220
male
white
en
20-29
10.1
1,920
1,080
22.92
24
20,221
male
white
en
20-29
21.2
1,920
1,080
45.62
24
20,222
male
white
en
20-29
22.2
1,920
1,080
45.42
24
20,223
male
white
en
20-29
15.9
1,920
1,080
35.25
24
20,224
male
white
en
20-29
36.7
3,840
2,160
23.64
25
20,225
male
white
en
20-29
10.2
1,920
1,080
21.12
24
20,226
male
white
en
20-29
15.9
1,920
1,080
33.38
24
20,227
male
white
en
20-29
10.8
1,920
1,080
24.12
24
20,228
male
white
en
20-29
16.3
1,920
1,080
34.12
24
20,229
male
white
en
20-29
14.7
1,920
1,080
30.42
24
20,230
male
white
en
20-29
24.9
1,920
1,080
51.17
24
20,231
male
white
en
20-29
13.9
1,920
1,080
29.04
24
20,232
male
white
en
20-29
41.2
3,840
2,160
34.23
30
20,233
male
white
en
20-29
63.9
3,840
2,160
41.07
30
20,234
male
asian
en
20-29
24
1,920
1,080
32.17
24
20,235
male
indian
en
30-39
5.3
1,920
1,080
21.35
59.9
20,236
male
white
en
30-39
42.1
3,840
2,160
40.44
25
20,237
male
white
en
30-39
40.9
3,840
2,160
38.52
25
20,238
male
white
en
30-39
25.6
3,840
2,160
23.88
25
20,239
male
black
en
20-29
54.1
3,840
2,160
23.64
25
20,240
male
white
en
20-29
18
3,840
2,160
22.39
30
20,241
male
white
en
20-29
21.7
3,840
2,160
23.42
30
20,242
male
white
en
10-19
37.1
1,920
1,080
36.83
24
20,243
male
white
en
10-19
23.4
1,920
1,080
20.92
24
20,244
male
asian
en
30-39
12.1
1,920
1,080
47.85
59.9
20,245
female
asian
en
20-29
88.2
3,840
2,160
21.52
24
20,246
female
asian
en
20-29
28.9
3,840
2,160
20.56
24
20,247
female
asian
en
20-29
26.5
3,840
2,160
21.1
24
20,248
female
asian
en
20-29
25.4
3,840
2,160
22.4
24
20,249
female
asian
en
20-29
35.6
3,840
2,160
20.85
24
20,250
female
asian
en
20-29
31.9
3,840
2,160
21.1
24
20,251
female
asian
en
20-29
32.1
3,840
2,160
28.11
24
20,252
male
white
en
30-39
209.8
3,840
2,160
68.28
25
20,253
male
white
en
30-39
120.9
3,840
2,160
51.72
25
22,579
female
asian
ko
10-19
40.6
1,920
1,080
47.15
30
22,580
female
asian
ko
10-19
22.2
1,920
1,080
39.61
30
20,257
male
white
en
30-39
135.9
3,840
2,160
84.71
24
20,258
male
white
en
30-39
102.9
3,840
2,160
62.19
24
20,259
male
white
en
30-39
265
3,840
2,160
168.17
24
20,260
male
white
en
40-49
9.2
1,920
1,080
23.31
59.9
20,261
male
white
en
50-59
43
3,840
2,160
21.77
59.9
20,262
male
white
en
20-29
83.6
3,840
2,160
35.64
25
20,263
male
white
en
20-29
257.2
3,840
2,160
108.36
25
20,264
male
white
en
20-29
157.1
3,840
2,160
66.76
25
20,265
male
white
en
20-29
49.5
3,840
2,160
21.24
25
20,266
male
white
en
20-29
204.1
3,840
2,160
87.72
25
20,267
male
white
en
20-29
229.5
3,840
2,160
100.8
25
20,268
male
white
en
20-29
168.6
3,840
2,160
72.04
25
20,269
male
white
en
20-29
159.8
3,840
2,160
67.6
25
20,270
female
asian
en
10-19
8.8
1,920
1,080
23.62
30
20,271
male
white
en
30-39
27.8
3,840
2,160
24.48
25
20,272
male
white
en
30-39
42.4
3,840
2,160
36.36
25