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
15,231
male
white
en
20-29
33.3
3,840
2,160
22.23
24
15,232
male
white
en
20-29
180.3
3,840
2,160
105.9
24
15,233
male
white
en
20-29
53.5
3,840
2,160
29.36
24
15,234
male
white
en
30-39
29.3
3,840
2,160
20.32
30
15,235
male
white
en
30-39
31.6
3,840
2,160
22.82
30
15,236
male
asian
en
20-29
77
3,840
2,160
40.43
30
15,237
male
asian
en
20-29
76.5
3,840
2,160
42.63
30
15,238
male
asian
en
20-29
65.2
3,840
2,160
34.03
30
15,239
male
black
en
20-29
12.9
1,920
1,080
21.48
25
15,240
male
white
en
20-29
47.1
3,840
2,160
21.94
24
15,241
male
white
en
30-39
29.1
1,920
1,080
34.72
59.9
15,242
male
white
en
30-39
31.4
1,920
1,080
40.51
59.9
15,243
male
white
en
30-39
70.9
1,920
1,080
93.34
59.9
15,244
male
white
en
40-49
44.5
1,920
1,080
89.2
30
15,245
female
white
en
20-29
110.4
1,920
1,080
134.04
25
15,246
female
white
en
20-29
112.8
1,920
1,080
122.76
25
15,247
female
white
en
20-29
35.5
1,920
1,080
41.12
25
15,248
male
indian
en
20-29
65
3,840
2,160
28.2
25
15,249
male
indian
en
20-29
66.9
3,840
2,160
29.08
25
15,250
male
white
en
20-29
41.3
3,840
2,160
28.24
24
15,251
female
white
en
30-39
31.9
3,840
2,160
25.76
30
15,252
female
asian
en
20-29
111.2
3,840
2,160
31.17
24
15,253
male
white
en
20-29
28.8
1,920
1,080
36.53
30
15,254
male
asian
en
20-29
38.6
3,840
2,160
34.24
24
15,255
male
white
en
20-29
31.9
3,840
2,160
37.87
30
15,256
male
white
en
20-29
58.5
3,840
2,160
47.38
24
15,257
male
white
en
20-29
30
3,840
2,160
20.73
24
15,258
male
white
en
20-29
36.4
3,840
2,160
30.99
24
15,259
male
white
en
20-29
30.7
3,840
2,160
21.23
24
15,260
male
white
en
20-29
39.1
3,840
2,160
23.98
24
15,261
male
white
en
20-29
62.3
3,840
2,160
44.04
30
15,262
male
white
en
20-29
31.6
3,840
2,160
20.92
30
15,263
male
black
en
30-39
54.8
3,840
2,160
58.64
24
15,264
male
black
en
30-39
19.6
3,840
2,160
27.24
24
15,265
male
black
en
30-39
58
3,840
2,160
80.54
24
15,266
male
white
en
30-39
40.3
3,840
2,160
23.52
24
15,267
male
white
en
30-39
57.5
3,840
2,160
28.49
24
15,268
male
white
en
30-39
59.1
3,840
2,160
30.36
24
15,269
male
white
en
30-39
52.2
3,840
2,160
28.11
24
15,270
female
white
en
20-29
9.2
1,920
1,080
29.83
30
15,271
female
white
en
20-29
7
1,920
1,080
24.49
30
15,272
female
asian
en
20-29
94.1
1,920
1,080
178.01
30
15,273
female
asian
en
20-29
33.2
1,920
1,080
54.79
30
15,274
female
asian
en
20-29
16.6
1,920
1,080
34.4
30
15,275
female
asian
en
20-29
53.5
1,920
1,080
118.05
30
15,276
female
asian
en
20-29
16.2
1,920
1,080
30.63
30
15,277
female
asian
en
20-29
25.2
1,920
1,080
55.32
30
15,278
male
white
en
30-39
19.7
1,920
1,080
53.14
24
15,279
male
white
en
30-39
18.4
1,920
1,080
47.51
24
15,280
female
white
en
40-49
14.6
1,920
1,080
21.6
25
15,281
male
white
en
20-29
37.7
3,840
2,160
26.84
50
15,282
male
asian
en
30-39
31.7
3,840
2,160
26.79
30
15,283
male
white
en
30-39
52.1
3,840
2,160
64.06
24
15,284
male
white
en
30-39
19.1
3,840
2,160
22.65
24
15,285
male
white
en
20-29
114.8
3,840
2,160
74.87
24
15,286
male
white
en
20-29
68
3,840
2,160
46.3
24
15,287
male
white
en
20-29
29.7
3,840
2,160
20.73
24
15,288
male
white
en
20-29
34.9
3,840
2,160
27.07
24
15,289
male
white
en
20-29
58.6
3,840
2,160
46.63
24
15,290
male
white
en
20-29
67.4
3,840
2,160
43.21
24
17,459
male
white
en
30-39
144.4
3,840
2,160
30.6
30
17,460
male
white
en
30-39
321.1
3,840
2,160
114.15
30
17,461
male
white
en
30-39
332.7
3,840
2,160
124.72
30
17,462
male
white
en
30-39
66.7
3,840
2,160
25.33
30
17,463
male
white
en
30-39
63.3
3,840
2,160
42.84
25
15,297
female
white
en
30-39
15.8
1,920
1,080
42.61
30
15,298
male
white
en
30-39
18.2
3,840
2,160
20.6
24
15,299
male
white
en
30-39
14.6
1,920
1,080
29.04
24
15,300
male
white
en
30-39
19.4
1,920
1,080
30.79
24
15,301
male
asian
en
30-39
21.1
3,840
2,160
22.23
30
15,302
male
white
en
30-39
95.9
3,840
2,160
55.68
25
15,303
male
white
en
30-39
52.4
3,840
2,160
26.92
25
15,304
male
white
en
30-39
46.7
3,840
2,160
30.12
25
15,305
male
white
en
30-39
34
3,840
2,160
31.36
25
15,306
male
white
en
30-39
33.9
3,840
2,160
22.44
25
15,307
male
white
en
30-39
80.6
3,840
2,160
47.76
25
15,308
male
white
en
30-39
64.4
3,840
2,160
37.2
25
15,309
male
white
en
30-39
49
3,840
2,160
31.8
25
15,310
male
white
en
20-29
54.9
1,920
1,080
100.58
60
15,311
male
white
en
20-29
49.9
1,920
1,080
88.93
60
15,312
male
white
en
30-39
21
3,840
2,160
20.23
24
15,313
male
white
en
20-29
10.4
1,920
1,080
31.23
30
15,314
male
white
en
20-29
59.1
1,920
1,080
178.53
30
15,315
male
white
en
40-49
25.4
3,840
2,160
21.23
24
15,316
male
white
en
20-29
53.1
3,840
2,160
21.04
24
15,317
male
white
en
20-29
59.4
3,840
2,160
22.79
24
15,318
male
white
en
30-39
51.6
3,840
2,160
21.42
60
15,319
male
white
en
40-49
16
1,920
1,080
32.43
30
15,320
male
white
en
40-49
15.2
1,920
1,080
30.33
30
15,321
male
white
en
40-49
13.7
1,920
1,080
31.3
30
15,322
male
white
en
40-49
87.9
1,920
1,080
140.24
30
15,323
male
white
en
40-49
13.2
1,920
1,080
23.02
30
15,324
female
white
en
20-29
30.6
3,840
2,160
22.11
24
15,325
male
asian
en
20-29
45.9
3,840
2,160
32.03
24
15,326
male
asian
en
20-29
69.6
3,840
2,160
49.47
24
15,327
male
white
en
40-49
130.1
3,840
2,160
63.4
24
15,328
female
white
en
30-39
10.2
1,920
1,080
22.36
24
15,329
female
white
en
30-39
30.8
1,920
1,080
53.25
30
15,330
female
white
en
30-39
50.7
1,920
1,080
92.99
30
15,331
male
white
en
30-39
168.8
3,840
2,160
70.53
24