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
14,228
male
white
en
30-39
67.7
3,840
2,160
28.47
60
14,229
female
asian
en
30-39
44.4
1,920
1,080
140.27
30
14,230
female
asian
en
30-39
29.7
1,920
1,080
89.33
30
14,231
female
white
en
30-39
52.2
3,840
2,160
20.72
30
14,232
male
white
en
40-49
24.1
3,840
2,160
20.6
24
14,233
male
white
en
40-49
226.5
3,840
2,160
40.08
60
14,234
male
white
en
40-49
225.8
3,840
2,160
37.27
60
14,235
male
white
hi
20-29
73.9
3,840
2,160
22.42
60
14,236
male
white
en
20-29
20.1
3,840
2,160
20.1
24
14,237
male
white
en
20-29
27.9
3,840
2,160
29.82
24
14,238
male
white
en
20-29
45.2
3,840
2,160
20.6
24
14,239
male
white
en
20-29
67.7
3,840
2,160
41.54
24
14,240
male
white
en
40-49
39.9
3,840
2,160
21.74
50
14,241
female
white
en
20-29
20.4
1,920
1,080
32.64
25
14,242
male
white
en
30-39
44.3
3,840
2,160
45.57
25
14,243
male
white
en
30-39
35.1
3,840
2,160
28.36
24
14,244
male
white
en
30-39
38.7
3,840
2,160
26.53
24
14,245
male
white
en
30-39
34
3,840
2,160
20.03
30
14,246
female
white
en
20-29
51.6
3,840
2,160
37.64
30
14,247
female
white
en
20-29
39.6
3,840
2,160
29
30
14,248
female
white
en
20-29
44.3
3,840
2,160
30.2
30
14,249
female
white
en
20-29
27.9
3,840
2,160
21.39
30
14,250
female
white
en
20-29
44.9
3,840
2,160
32.3
30
14,251
female
white
en
20-29
41.6
3,840
2,160
28.83
30
14,252
male
asian
en
20-29
75
3,840
2,160
33.1
59.9
14,253
male
asian
en
20-29
107.8
3,840
2,160
41.79
59.9
14,254
male
asian
en
20-29
93.3
3,840
2,160
35.27
59.9
14,255
male
asian
en
20-29
134.5
3,840
2,160
50.72
59.9
14,256
male
white
en
30-39
31.2
1,920
1,080
38.97
59.9
14,257
male
white
en
30-39
15.2
1,920
1,080
22.11
59.9
14,258
male
white
en
30-39
27.4
1,920
1,080
71.17
30
14,259
male
white
en
30-39
19.2
1,920
1,080
44.34
30
14,260
male
white
en
30-39
12.7
1,920
1,080
35.24
30
14,261
male
white
en
30-39
35.6
1,920
1,080
92.79
30
14,262
male
white
en
30-39
17.7
1,920
1,080
46.05
30
14,263
male
white
en
30-39
96.9
3,840
2,160
44.71
24
14,264
male
white
en
30-39
85.9
3,840
2,160
50.38
24
14,265
male
white
en
30-39
114.6
3,840
2,160
54.6
24
14,266
male
white
en
30-39
63.8
3,840
2,160
30.66
24
14,267
male
white
en
30-39
70
3,840
2,160
34.03
24
14,268
male
white
en
30-39
45
3,840
2,160
20.1
24
14,269
male
white
en
30-39
65.4
3,840
2,160
28.74
24
14,270
female
white
en
40-49
9.4
1,920
1,080
21.83
30
14,271
female
white
en
40-49
13.7
1,920
1,080
29.8
30
14,272
female
white
en
40-49
16.3
1,920
1,080
33.07
30
14,273
female
white
en
40-49
11.7
1,920
1,080
26.13
30
14,274
female
white
en
40-49
17.1
1,920
1,080
37.83
30
14,275
female
white
en
20-29
69.4
3,840
2,160
22.86
24
14,276
male
white
en
30-39
52.3
3,840
2,160
29.33
30
14,277
male
white
en
30-39
39.7
3,840
2,160
22.89
30
14,278
male
white
en
30-39
91.5
3,840
2,160
49.45
30
14,279
male
white
en
20-29
46.7
3,840
2,160
24.32
30
14,280
male
white
en
20-29
84.4
3,840
2,160
51.03
30
14,281
male
white
en
20-29
223
3,840
2,160
133.33
30
14,282
male
white
en
20-29
47.6
3,840
2,160
28.13
30
14,283
female
white
en
30-39
16.7
1,920
1,080
34.93
30
14,284
male
white
en
40-49
108.7
3,840
2,160
44.31
30
14,285
male
white
en
40-49
58.3
3,840
2,160
23.66
30
14,286
male
white
en
40-49
108
3,840
2,160
42.14
30
14,287
male
white
en
40-49
62.6
3,840
2,160
24.29
30
14,288
male
white
en
40-49
87.5
3,840
2,160
35.2
30
14,289
male
white
en
40-49
53.2
3,840
2,160
20.79
30
14,290
male
indian
en
30-39
27.6
1,920
1,080
43.33
30
14,291
male
indian
en
30-39
37
1,920
1,080
60.13
30
14,292
male
indian
en
30-39
43.2
1,920
1,080
52.03
30
17,451
male
black
en
30-39
33.4
3,840
2,160
23.98
24
14,294
male
white
en
20-29
26.5
3,840
2,160
24.92
24
14,295
male
white
en
20-29
23.2
3,840
2,160
21.04
24
14,296
male
white
en
20-29
51.2
3,840
2,160
27.11
24
14,297
male
white
en
20-29
16.9
1,920
1,080
25.28
59.9
14,298
male
white
en
20-29
14.6
1,920
1,080
23.29
59.9
14,299
male
white
en
20-29
13
1,920
1,080
21.86
59.9
14,300
male
asian
en
20-29
14.2
1,920
1,080
36.23
30
14,301
male
asian
en
20-29
13.6
1,920
1,080
32.83
30
14,302
male
asian
en
20-29
17.7
1,920
1,080
43.1
30
14,303
male
asian
en
10-19
27.8
3,840
2,160
21.07
30
14,304
male
white
en
30-39
24.4
3,840
2,160
20.85
24
14,305
male
white
en
30-39
63.3
3,840
2,160
55.76
24
14,306
male
white
en
30-39
52
3,840
2,160
43
24
14,307
male
white
en
30-39
49.4
3,840
2,160
41.62
24
14,308
male
asian
en
20-29
11.4
1,920
1,080
29.4
25
14,309
male
asian
en
20-29
8.7
1,920
1,080
20.68
25
14,310
male
white
en
30-39
15.3
3,840
2,160
20.28
25
14,311
male
white
en
30-39
15.6
1,920
1,080
34.95
24
14,312
male
white
en
30-39
17.4
1,920
1,080
51.26
24
14,313
female
white
en
20-29
14.6
1,920
1,080
43.8
25
14,314
male
white
en
20-29
12.6
1,920
1,080
24.02
24
14,315
male
white
en
60-69
5.8
1,920
1,080
23.27
24
14,316
male
white
en
60-69
7.8
1,920
1,080
26.03
24
14,317
male
white
en
60-69
10.8
1,920
1,080
33.28
24
14,318
male
white
en
60-69
5.3
1,920
1,080
20.15
24
14,319
male
white
en
20-29
14.8
1,920
1,080
31.71
24
14,320
male
white
en
20-29
10.5
1,920
1,080
22.62
24
14,321
male
white
en
20-29
9.8
1,920
1,080
20.42
24
14,322
male
white
en
20-29
13.8
1,920
1,080
29.42
24
14,323
male
black
en
20-29
17.4
1,920
1,080
35.8
30
14,324
male
black
en
20-29
16.7
1,920
1,080
37.14
30
14,325
male
black
en
20-29
18
1,920
1,080
38.51
30
14,326
male
black
en
20-29
17.7
1,920
1,080
39.74
30
14,327
female
white
en
30-39
211.2
3,840
2,160
35.79
24