Datasets:
MarioPD
/
THVD

Dataset card Data Studio Files
xet
 Community
2
id
int64
73
52.5k
gender
stringclasses
3 values
race
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5 values
lang
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52 values
age
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10 values
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float64
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int64
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int64
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2.16k
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float64
9.2
179
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float64
10
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male
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64.9
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25.53
30
4,768
male
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30-39
70.6
3,840
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28.73
30
4,769
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30-39
58.4
3,840
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23.96
30
4,770
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female
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20-29
22.6
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44.53
59.9
4,772
female
asian
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20-29
18.6
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37.79
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4,773
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20-29
40.1
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77.06
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4,774
male
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20-29
68
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24
4,775
male
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20-29
27.4
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24
4,776
male
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20-29
61.7
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50.09
24
4,777
male
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20-29
44.9
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24
4,778
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20-29
144.6
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4,779
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30.2
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22.11
24
4,780
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15.8
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20.5
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30-39
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30
4,784
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144.6
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30
4,785
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30-39
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30
4,786
male
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32.2
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4,787
female
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128
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1,440
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4,788
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20-29
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30
4,789
male
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20-29
15
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30
4,790
male
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20-29
14.5
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31.1
30
4,791
male
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20-29
39
1,920
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68.9
30
4,792
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30-39
53.8
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28.78
24
4,793
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33.6
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28.73
30
4,794
male
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20-29
64
3,840
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55.43
30
4,795
male
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20-29
190
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166.93
30
4,796
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30-39
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120.85
30
4,797
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30-39
123.8
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73.11
30
4,798
male
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en
30-39
285.5
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161.86
30
4,799
male
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30-39
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133.77
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4,802
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260.4
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151.35
30
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22.46
30
4,804
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43.6
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30
4,806
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45.92
60
4,807
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6.5
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30
4,808
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20-29
50.2
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22.12
30
4,809
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20-29
34.9
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23.82
30
4,810
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20-29
86.6
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26.27
60
4,811
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20-29
117.2
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63.43
30
4,812
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20-29
49.9
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30
4,813
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20-29
37
3,840
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26.86
24
4,814
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20-29
25.9
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24
4,815
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20-29
46.5
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24
4,816
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20-29
56.5
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42.67
24
6,984
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78.8
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78.47
48
4,818
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20-29
26.2
3,840
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23.48
24
4,819
female
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20-29
57.3
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38.37
24
4,820
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20-29
46
3,840
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31.24
24
4,821
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20-29
38.4
3,840
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30.74
24
4,822
female
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en
20-29
29.8
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21.35
24
4,823
female
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en
20-29
64.4
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47.01
24
4,824
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20-29
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55.64
24
4,825
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20-29
20.7
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27.92
60
4,826
male
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20-29
173.3
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99
30
4,827
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20-29
28.6
3,840
2,160
21.03
30
4,828
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20-29
10.6
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24.49
30
4,829
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20-29
11.3
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27.26
30
4,830
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20-29
8.7
1,920
1,080
20.52
30
4,831
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20-29
41.5
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22.56
25
4,832
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20-29
27.6
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21.88
25
4,833
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white
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20-29
55.5
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2,160
23.04
25
4,834
female
asian
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20-29
33.5
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2,160
28.36
24
4,835
female
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20-29
38.2
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20.27
24
4,836
female
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20-29
117.4
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58.85
24
4,837
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20-29
45.5
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20.98
24
4,838
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40-49
9.6
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28.44
25
4,839
male
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40-49
13.2
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1,080
36.64
25
4,840
male
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40-49
17.8
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1,080
49.48
25
4,841
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40-49
6.7
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24.64
25
4,842
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40-49
8.7
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1,080
23.68
25
4,843
male
white
en
30-39
123.6
3,840
2,160
43.64
30
4,844
male
white
en
30-39
63.3
3,840
2,160
23.39
30
4,845
male
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en
30-39
55.5
3,840
2,160
34.71
24
4,846
male
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50-59
7
1,920
1,080
33
25
4,847
male
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en
50-59
4.9
1,920
1,080
24.12
25
4,848
male
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50-59
26.6
1,920
1,080
129.8
25
4,849
female
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en
20-29
24.3
1,920
1,080
31.9
30
4,850
female
white
en
20-29
15.6
1,920
1,080
21.89
30
4,851
female
white
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20-29
28.6
1,920
1,080
30.53
30
4,852
male
white
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30-39
37.6
1,920
1,080
89.73
30
4,853
female
asian
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20-29
203
3,840
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56.83
30
4,854
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asian
en
20-29
96.3
3,840
2,160
24.93
30
4,855
male
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30-39
43.4
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24.96
30
4,856
male
white
en
30-39
40.5
3,840
2,160
21.92
30
4,857
male
white
en
30-39
7.1
1,920
1,080
28.4
30
4,858
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indian
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30-39
73.8
1,920
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177.68
25
4,859
male
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30-39
27.4
3,840
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22.89
30
4,860
male
white
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30-39
55.5
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37.14
30
4,861
male
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30-39
31.1
3,840
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21.62
30
4,862
male
white
en
30-39
35.3
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23.26
30
4,863
male
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30-39
87.1
3,840
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31.7
30
4,864
male
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20-29
72.6
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21.15
30
4,865
male
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30-39
9
1,920
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23.4
25
4,866
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20-29
12.7
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41.21
24
4,867
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20-29
24.7
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86.46
24