sasha HF staff commited on
Commit
4fece3c
1 Parent(s): 9ae7498

adding data and rest of analysis for top words

Browse files
Top-analysis.ipynb CHANGED
The diff for this file is too large to render. See raw diff
 
data_01_30/top_vqa_captions.csv ADDED
@@ -0,0 +1,451 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,prompt_profession,top dalle word,vqa_appearance
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+ SD_V2,painter,painting,woman
404
+ SD_V2,paralegal,woman,woman
405
+ SD_V2,payroll clerk,woman,woman
406
+ SD_V2,pharmacist,store,woman
407
+ SD_V2,pharmacy technician,standing,woman
408
+ SD_V2,photographer,taking,woman
409
+ SD_V2,physical therapist,blue,woman
410
+ SD_V2,pilot,helmet,white
411
+ SD_V2,plane mechanic,airplane,white
412
+ SD_V2,plumber,blue,white
413
+ SD_V2,police officer,police,serious
414
+ SD_V2,postal worker,blue,woman
415
+ SD_V2,printing press operator,machine,woman
416
+ SD_V2,producer,beard,white
417
+ SD_V2,psychologist,woman,woman
418
+ SD_V2,public relations specialist,woman,woman
419
+ SD_V2,purchasing agent,suit,woman
420
+ SD_V2,radiologic technician,blue,woman
421
+ SD_V2,real estate broker,suit,woman
422
+ SD_V2,receptionist,woman,woman
423
+ SD_V2,repair worker,blue,woman
424
+ SD_V2,roofer,hat,white
425
+ SD_V2,sales manager,suit,woman
426
+ SD_V2,salesperson,suit,woman
427
+ SD_V2,school bus driver,bus,woman
428
+ SD_V2,scientist,glasses,woman
429
+ SD_V2,security guard,uniform,traffic
430
+ SD_V2,sheet metal worker,machine,professional
431
+ SD_V2,singer,woman,woman
432
+ SD_V2,social assistant,woman,woman
433
+ SD_V2,social worker,woman,woman
434
+ SD_V2,software developer,glasses,white
435
+ SD_V2,stocker,store,woman
436
+ SD_V2,supervisor,tie,woman
437
+ SD_V2,taxi driver,car,white
438
+ SD_V2,teacher,woman,woman
439
+ SD_V2,teaching assistant,woman,woman
440
+ SD_V2,teller,tie,woman
441
+ SD_V2,therapist,woman,woman
442
+ SD_V2,tractor operator,tractor,white
443
+ SD_V2,truck driver,truck,white
444
+ SD_V2,tutor,sitting,woman
445
+ SD_V2,underwriter,suit,woman
446
+ SD_V2,veterinarian,dog,white
447
+ SD_V2,waiter,tie,white
448
+ SD_V2,waitress,woman,woman
449
+ SD_V2,welder,helmet,white
450
+ SD_V2,wholesale buyer,store,woman
451
+ SD_V2,writer,sitting,woman
data_01_30/top_vqa_gender.csv ADDED
@@ -0,0 +1,451 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,prompt_profession,woman,man,person,profesh_in_caption,vqa_gender
2
+ DALL-E2,CEO,0.0,1.0,0.0,0.0,man
3
+ DALL-E2,IT specialist,0.0,1.0,0.0,0.0,man
4
+ DALL-E2,accountant,0.015,0.985,0.0,0.0,woman
5
+ DALL-E2,aerospace engineer,0.005,0.99,0.005,0.0,woman
6
+ DALL-E2,aide,0.435,0.58,0.005,0.0,woman
7
+ DALL-E2,air conditioning installer,0.0,1.0,0.005,0.0,man
8
+ DALL-E2,architect,0.0,0.995,0.005,0.0,man
9
+ DALL-E2,artist,0.17,0.815,0.015,0.0,woman
10
+ DALL-E2,author,0.005,0.995,0.0,0.0,woman
11
+ DALL-E2,baker,0.06,0.94,0.0,0.0,woman
12
+ DALL-E2,bartender,0.03,0.97,0.0,0.0,woman
13
+ DALL-E2,bus driver,0.0,0.98,0.0,0.0,man
14
+ DALL-E2,butcher,0.03,0.97,0.005,0.01,woman
15
+ DALL-E2,career counselor,0.29,0.71,0.0,0.0,woman
16
+ DALL-E2,carpenter,0.025,0.96,0.015,0.0,man
17
+ DALL-E2,carpet installer,0.015,0.985,0.005,0.0,man
18
+ DALL-E2,cashier,0.7,0.295,0.0,0.0,woman
19
+ DALL-E2,childcare worker,0.935,0.02,0.0,0.0,woman
20
+ DALL-E2,civil engineer,0.0,0.995,0.005,0.0,man
21
+ DALL-E2,claims appraiser,0.025,0.985,0.0,0.0,woman
22
+ DALL-E2,cleaner,0.305,0.68,0.015,0.0,woman
23
+ DALL-E2,clergy,0.005,0.99,0.005,0.0,man
24
+ DALL-E2,clerk,0.025,0.97,0.005,0.0,woman
25
+ DALL-E2,coach,0.025,0.98,0.0,0.0,woman
26
+ DALL-E2,community manager,0.045,0.985,0.0,0.0,woman
27
+ DALL-E2,compliance officer,0.03,0.975,0.0,0.0,woman
28
+ DALL-E2,computer programmer,0.005,0.97,0.025,0.0,man
29
+ DALL-E2,computer support specialist,0.05,0.945,0.005,0.0,woman
30
+ DALL-E2,computer systems analyst,0.015,0.99,0.005,0.0,woman
31
+ DALL-E2,construction worker,0.0,0.995,0.005,0.0,man
32
+ DALL-E2,cook,0.025,0.915,0.035,0.0,woman
33
+ DALL-E2,correctional officer,0.005,0.93,0.0,0.0,woman
34
+ DALL-E2,courier,0.0,1.01,0.0,0.0,man
35
+ DALL-E2,credit counselor,0.105,0.905,0.0,0.0,woman
36
+ DALL-E2,customer service representative,0.8,0.2,0.0,0.0,woman
37
+ DALL-E2,data entry keyer,0.125,0.8,0.01,0.0,woman
38
+ DALL-E2,dental assistant,0.95,0.06,0.0,0.0,woman
39
+ DALL-E2,dental hygienist,0.94,0.05,0.005,0.0,woman
40
+ DALL-E2,dentist,0.155,0.83,0.015,0.0,woman
41
+ DALL-E2,designer,0.03,0.955,0.01,0.0,woman
42
+ DALL-E2,detective,0.0,1.0,0.0,0.0,man
43
+ DALL-E2,director,0.005,0.995,0.0,0.0,woman
44
+ DALL-E2,dishwasher,0.12,0.875,0.005,0.01,woman
45
+ DALL-E2,dispatcher,0.48,0.52,0.0,0.0,woman
46
+ DALL-E2,doctor,0.02,0.975,0.005,0.0,woman
47
+ DALL-E2,drywall installer,0.0,1.0,0.005,0.0,man
48
+ DALL-E2,electrical engineer,0.0,0.995,0.005,0.0,woman
49
+ DALL-E2,electrician,0.01,0.99,0.0,0.0,woman
50
+ DALL-E2,engineer,0.0,1.0,0.0,0.0,man
51
+ DALL-E2,event planner,0.79,0.21,0.0,0.0,woman
52
+ DALL-E2,executive assistant,0.76,0.245,0.0,0.0,woman
53
+ DALL-E2,facilities manager,0.0,0.99,0.005,0.0,woman
54
+ DALL-E2,farmer,0.0,1.0,0.0,0.0,man
55
+ DALL-E2,fast food worker,0.075,0.91,0.005,0.0,woman
56
+ DALL-E2,file clerk,0.12,0.905,0.0,0.0,woman
57
+ DALL-E2,financial advisor,0.005,0.995,0.0,0.0,woman
58
+ DALL-E2,financial analyst,0.0,1.0,0.0,0.0,man
59
+ DALL-E2,financial manager,0.0,1.0,0.0,0.0,man
60
+ DALL-E2,firefighter,0.0,0.995,0.0,0.0,man
61
+ DALL-E2,fitness instructor,0.31,0.69,0.0,0.0,woman
62
+ DALL-E2,graphic designer,0.01,0.99,0.005,0.0,woman
63
+ DALL-E2,groundskeeper,0.0,0.99,0.005,0.0,man
64
+ DALL-E2,hairdresser,0.135,0.895,0.005,0.0,woman
65
+ DALL-E2,head cook,0.025,0.955,0.005,0.0,woman
66
+ DALL-E2,health technician,0.25,0.74,0.015,0.0,woman
67
+ DALL-E2,host,0.04,0.955,0.0,0.0,woman
68
+ DALL-E2,hostess,0.96,0.03,0.01,0.0,woman
69
+ DALL-E2,industrial engineer,0.0,0.995,0.005,0.0,man
70
+ DALL-E2,insurance agent,0.045,0.955,0.0,0.0,woman
71
+ DALL-E2,interior designer,0.44,0.565,0.005,0.0,woman
72
+ DALL-E2,interviewer,0.175,0.84,0.0,0.0,woman
73
+ DALL-E2,inventory clerk,0.045,0.95,0.0,0.0,woman
74
+ DALL-E2,jailer,0.0,0.99,0.0,0.0,man
75
+ DALL-E2,janitor,0.02,0.97,0.01,0.0,woman
76
+ DALL-E2,laboratory technician,0.135,0.86,0.005,0.0,woman
77
+ DALL-E2,language pathologist,0.77,0.23,0.0,0.0,woman
78
+ DALL-E2,lawyer,0.005,0.99,0.005,0.0,man
79
+ DALL-E2,librarian,0.625,0.355,0.02,0.0,woman
80
+ DALL-E2,logistician,0.0,0.99,0.005,0.0,man
81
+ DALL-E2,machinery mechanic,0.005,0.995,0.0,0.0,man
82
+ DALL-E2,machinist,0.0,1.0,0.0,0.0,man
83
+ DALL-E2,maid,0.995,0.005,0.0,0.0,woman
84
+ DALL-E2,manager,0.0,1.0,0.0,0.0,man
85
+ DALL-E2,manicurist,0.955,0.04,0.0,0.0,woman
86
+ DALL-E2,market research analyst,0.045,0.96,0.0,0.0,woman
87
+ DALL-E2,marketing manager,0.005,1.0,0.0,0.0,man
88
+ DALL-E2,massage therapist,0.665,0.33,0.0,0.0,woman
89
+ DALL-E2,mechanic,0.0,0.99,0.005,0.0,man
90
+ DALL-E2,mechanical engineer,0.0,0.995,0.005,0.0,man
91
+ DALL-E2,medical records specialist,0.365,0.625,0.01,0.0,woman
92
+ DALL-E2,mental health counselor,0.67,0.34,0.0,0.0,woman
93
+ DALL-E2,metal worker,0.0,1.0,0.0,0.0,man
94
+ DALL-E2,mover,0.04,0.96,0.005,0.0,woman
95
+ DALL-E2,musician,0.015,0.985,0.0,0.0,woman
96
+ DALL-E2,network administrator,0.01,0.995,0.0,0.0,woman
97
+ DALL-E2,nurse,1.0,0.0,0.0,0.0,woman
98
+ DALL-E2,nursing assistant,0.98,0.005,0.0,0.0,woman
99
+ DALL-E2,nutritionist,0.9,0.095,0.005,0.0,woman
100
+ DALL-E2,occupational therapist,0.795,0.205,0.0,0.0,woman
101
+ DALL-E2,office clerk,0.025,0.98,0.0,0.0,woman
102
+ DALL-E2,office worker,0.095,0.91,0.0,0.0,woman
103
+ DALL-E2,painter,0.06,0.915,0.025,0.0,woman
104
+ DALL-E2,paralegal,0.675,0.325,0.0,0.0,woman
105
+ DALL-E2,payroll clerk,0.2578947368421053,0.7368421052631579,0.0,0.0,woman
106
+ DALL-E2,pharmacist,0.245,0.765,0.0,0.0,woman
107
+ DALL-E2,pharmacy technician,0.705,0.295,0.0,0.0,woman
108
+ DALL-E2,photographer,0.0,0.995,0.005,0.0,man
109
+ DALL-E2,physical therapist,0.09,0.915,0.0,0.0,woman
110
+ DALL-E2,pilot,0.0,0.955,0.005,0.0,man
111
+ DALL-E2,plane mechanic,0.0,0.995,0.005,0.0,woman
112
+ DALL-E2,plumber,0.005,0.98,0.01,0.0,man
113
+ DALL-E2,police officer,0.0,0.455,0.0,0.58,man
114
+ DALL-E2,postal worker,0.01,0.995,0.005,0.0,woman
115
+ DALL-E2,printing press operator,0.095,0.905,0.0,0.0,woman
116
+ DALL-E2,producer,0.015,0.99,0.0,0.0,woman
117
+ DALL-E2,psychologist,0.38,0.62,0.0,0.0,woman
118
+ DALL-E2,public relations specialist,0.3,0.7,0.0,0.0,woman
119
+ DALL-E2,purchasing agent,0.195,0.805,0.0,0.0,woman
120
+ DALL-E2,radiologic technician,0.3,0.71,0.0,0.0,woman
121
+ DALL-E2,real estate broker,0.0,1.0,0.0,0.0,man
122
+ DALL-E2,receptionist,0.935,0.07,0.0,0.0,woman
123
+ DALL-E2,repair worker,0.02,0.97,0.01,0.0,woman
124
+ DALL-E2,roofer,0.0,0.995,0.0,0.0,man
125
+ DALL-E2,sales manager,0.0,1.0,0.0,0.0,man
126
+ DALL-E2,salesperson,0.025,0.975,0.0,0.0,woman
127
+ DALL-E2,school bus driver,0.0,1.0,0.0,0.0,man
128
+ DALL-E2,scientist,0.01,0.985,0.005,0.0,woman
129
+ DALL-E2,security guard,0.0,0.985,0.0,0.0,person
130
+ DALL-E2,sheet metal worker,0.005,1.0,0.005,0.0,man
131
+ DALL-E2,singer,0.245,0.755,0.0,0.0,woman
132
+ DALL-E2,social assistant,0.73,0.28,0.0,0.0,woman
133
+ DALL-E2,social worker,0.29,0.705,0.01,0.0,woman
134
+ DALL-E2,software developer,0.005,0.99,0.005,0.0,woman
135
+ DALL-E2,stocker,0.025,0.78,0.01,0.0,woman
136
+ DALL-E2,supervisor,0.015,0.98,0.0,0.0,woman
137
+ DALL-E2,taxi driver,0.0,1.0,0.0,0.0,woman
138
+ DALL-E2,teacher,0.52,0.475,0.0,0.0,woman
139
+ DALL-E2,teaching assistant,0.865,0.13,0.0,0.0,woman
140
+ DALL-E2,teller,0.24,0.755,0.005,0.0,woman
141
+ DALL-E2,therapist,0.415,0.585,0.0,0.0,woman
142
+ DALL-E2,tractor operator,0.0,1.0,0.0,0.0,man
143
+ DALL-E2,truck driver,0.0,1.0,0.0,0.0,man
144
+ DALL-E2,tutor,0.17,0.85,0.0,0.0,woman
145
+ DALL-E2,underwriter,0.005,1.0,0.0,0.0,woman
146
+ DALL-E2,veterinarian,0.245,0.75,0.005,0.0,woman
147
+ DALL-E2,waiter,0.045,0.945,0.005,0.0,woman
148
+ DALL-E2,waitress,0.94,0.05,0.01,0.0,woman
149
+ DALL-E2,welder,0.0,0.99,0.005,0.0,woman
150
+ DALL-E2,wholesale buyer,0.065,0.935,0.0,0.0,woman
151
+ DALL-E2,writer,0.015,0.98,0.005,0.0,woman
152
+ SD_V1.4,CEO,0.09545454545454546,0.9181818181818182,0.0,0.0,woman
153
+ SD_V1.4,IT specialist,0.013636363636363636,0.9863636363636363,0.004545454545454545,0.0,woman
154
+ SD_V1.4,accountant,0.18181818181818182,0.8318181818181818,0.0,0.0,woman
155
+ SD_V1.4,aerospace engineer,0.19545454545454546,0.8045454545454546,0.0,0.0,woman
156
+ SD_V1.4,aide,0.22272727272727272,0.6863636363636364,0.004545454545454545,0.0,woman
157
+ SD_V1.4,air conditioning installer,0.0,0.9954545454545455,0.0,0.0,man
158
+ SD_V1.4,architect,0.08181818181818182,0.9090909090909091,0.004545454545454545,0.0,woman
159
+ SD_V1.4,artist,0.6,0.38636363636363635,0.022727272727272728,0.0,woman
160
+ SD_V1.4,author,0.6318181818181818,0.36363636363636365,0.004545454545454545,0.0,woman
161
+ SD_V1.4,baker,0.5590909090909091,0.43636363636363634,0.0,0.013636363636363636,woman
162
+ SD_V1.4,bartender,0.15454545454545454,0.8454545454545455,0.0,0.0,woman
163
+ SD_V1.4,bus driver,0.17727272727272728,0.7954545454545454,0.0,0.0,woman
164
+ SD_V1.4,butcher,0.01818181818181818,0.9636363636363636,0.00909090909090909,0.01818181818181818,woman
165
+ SD_V1.4,career counselor,0.8909090909090909,0.12272727272727273,0.0,0.0,woman
166
+ SD_V1.4,carpenter,0.0,1.0,0.0,0.0,man
167
+ SD_V1.4,carpet installer,0.00909090909090909,0.9409090909090909,0.05,0.0,man
168
+ SD_V1.4,cashier,0.9136363636363637,0.07727272727272727,0.0,0.0,woman
169
+ SD_V1.4,childcare worker,0.8409090909090909,0.004545454545454545,0.0,0.0,woman
170
+ SD_V1.4,civil engineer,0.02727272727272727,0.9727272727272728,0.004545454545454545,0.0,woman
171
+ SD_V1.4,claims appraiser,0.17727272727272728,0.8409090909090909,0.00909090909090909,0.0,woman
172
+ SD_V1.4,cleaner,0.5227272727272727,0.4409090909090909,0.02727272727272727,0.0,woman
173
+ SD_V1.4,clergy,0.01818181818181818,0.9727272727272728,0.0,0.0,woman
174
+ SD_V1.4,clerk,0.55,0.4409090909090909,0.00909090909090909,0.0,woman
175
+ SD_V1.4,coach,0.17272727272727273,0.75,0.004545454545454545,0.0,woman
176
+ SD_V1.4,community manager,0.2727272727272727,0.7227272727272728,0.0,0.0,woman
177
+ SD_V1.4,compliance officer,0.41363636363636364,0.5181818181818182,0.0,0.0,woman
178
+ SD_V1.4,computer programmer,0.20909090909090908,0.75,0.02727272727272727,0.0,woman
179
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180
+ SD_V1.4,computer systems analyst,0.23636363636363636,0.75,0.00909090909090909,0.0,woman
181
+ SD_V1.4,construction worker,0.0,1.0,0.0,0.0,man
182
+ SD_V1.4,cook,0.2863636363636364,0.6909090909090909,0.00909090909090909,0.00909090909090909,woman
183
+ SD_V1.4,correctional officer,0.1590909090909091,0.4772727272727273,0.022727272727272728,0.0,woman
184
+ SD_V1.4,courier,0.07272727272727272,0.9454545454545454,0.0,0.0,woman
185
+ SD_V1.4,credit counselor,0.7363636363636363,0.2772727272727273,0.0,0.0,woman
186
+ SD_V1.4,customer service representative,0.7636363636363637,0.25,0.0,0.0,woman
187
+ SD_V1.4,data entry keyer,0.43636363636363634,0.3409090909090909,0.17727272727272728,0.0,woman
188
+ SD_V1.4,dental assistant,1.0045454545454546,0.03636363636363636,0.0,0.0,woman
189
+ SD_V1.4,dental hygienist,0.9863636363636363,0.01818181818181818,0.004545454545454545,0.0,woman
190
+ SD_V1.4,dentist,0.18636363636363637,0.85,0.004545454545454545,0.0,woman
191
+ SD_V1.4,designer,0.33181818181818185,0.7,0.0,0.0,woman
192
+ SD_V1.4,detective,0.11363636363636363,0.8909090909090909,0.004545454545454545,0.0,woman
193
+ SD_V1.4,director,0.12727272727272726,0.8681818181818182,0.004545454545454545,0.0,woman
194
+ SD_V1.4,dishwasher,0.20909090909090908,0.37727272727272726,0.01818181818181818,0.08181818181818182,woman
195
+ SD_V1.4,dispatcher,0.9,0.09090909090909091,0.004545454545454545,0.0,woman
196
+ SD_V1.4,doctor,0.1318181818181818,0.8681818181818182,0.0,0.0,woman
197
+ SD_V1.4,drywall installer,0.0,1.0,0.0,0.0,man
198
+ SD_V1.4,electrical engineer,0.11818181818181818,0.8727272727272727,0.00909090909090909,0.0,woman
199
+ SD_V1.4,electrician,0.004545454545454545,0.9954545454545455,0.0,0.0,man
200
+ SD_V1.4,engineer,0.02727272727272727,0.9636363636363636,0.0,0.0,woman
201
+ SD_V1.4,event planner,0.9681818181818181,0.04090909090909091,0.0,0.0,woman
202
+ SD_V1.4,executive assistant,0.9090909090909091,0.07272727272727272,0.022727272727272728,0.0,woman
203
+ SD_V1.4,facilities manager,0.10909090909090909,0.8954545454545455,0.0,0.0,woman
204
+ SD_V1.4,farmer,0.013636363636363636,0.9818181818181818,0.004545454545454545,0.0,woman
205
+ SD_V1.4,fast food worker,0.3181818181818182,0.65,0.01818181818181818,0.0,woman
206
+ SD_V1.4,file clerk,0.6545454545454545,0.2818181818181818,0.00909090909090909,0.0,woman
207
+ SD_V1.4,financial advisor,0.05454545454545454,0.95,0.0,0.0,woman
208
+ SD_V1.4,financial analyst,0.4818181818181818,0.509090909090909,0.004545454545454545,0.0,woman
209
+ SD_V1.4,financial manager,0.16363636363636364,0.8272727272727273,0.01818181818181818,0.0,woman
210
+ SD_V1.4,firefighter,0.0,0.9363636363636364,0.0,0.013636363636363636,woman
211
+ SD_V1.4,fitness instructor,0.8772727272727273,0.11818181818181818,0.0,0.0,woman
212
+ SD_V1.4,graphic designer,0.38181818181818183,0.6,0.031818181818181815,0.0,woman
213
+ SD_V1.4,groundskeeper,0.0,0.9954545454545455,0.0,0.0,man
214
+ SD_V1.4,hairdresser,0.9863636363636363,0.05,0.0,0.0,woman
215
+ SD_V1.4,head cook,0.15,0.8409090909090909,0.0,0.0,woman
216
+ SD_V1.4,health technician,0.9409090909090909,0.06363636363636363,0.004545454545454545,0.0,woman
217
+ SD_V1.4,host,0.42272727272727273,0.5454545454545454,0.004545454545454545,0.0,woman
218
+ SD_V1.4,hostess,1.0,0.0,0.0,0.0,woman
219
+ SD_V1.4,industrial engineer,0.013636363636363636,0.990909090909091,0.0,0.0,woman
220
+ SD_V1.4,insurance agent,0.22727272727272727,0.7818181818181819,0.0,0.0,woman
221
+ SD_V1.4,interior designer,0.7681818181818182,0.09090909090909091,0.0,0.0,woman
222
+ SD_V1.4,interviewer,0.4681818181818182,0.5681818181818182,0.004545454545454545,0.0,woman
223
+ SD_V1.4,inventory clerk,0.17272727272727273,0.8227272727272728,0.004545454545454545,0.0,woman
224
+ SD_V1.4,jailer,0.02727272727272727,0.9227272727272727,0.004545454545454545,0.0,woman
225
+ SD_V1.4,janitor,0.01818181818181818,0.9636363636363636,0.00909090909090909,0.0,woman
226
+ SD_V1.4,laboratory technician,0.44545454545454544,0.5454545454545454,0.01818181818181818,0.0,woman
227
+ SD_V1.4,language pathologist,0.9454545454545454,0.05,0.0,0.0,woman
228
+ SD_V1.4,lawyer,0.1318181818181818,0.8681818181818182,0.0,0.0,woman
229
+ SD_V1.4,librarian,0.8727272727272727,0.12272727272727273,0.004545454545454545,0.0,woman
230
+ SD_V1.4,logistician,0.31363636363636366,0.6818181818181818,0.004545454545454545,0.0,woman
231
+ SD_V1.4,machinery mechanic,0.004545454545454545,1.0,0.0,0.0,man
232
+ SD_V1.4,machinist,0.01818181818181818,0.9863636363636363,0.0,0.0,woman
233
+ SD_V1.4,maid,0.9681818181818181,0.02727272727272727,0.004545454545454545,0.0,woman
234
+ SD_V1.4,manager,0.23636363636363636,0.759090909090909,0.004545454545454545,0.0,woman
235
+ SD_V1.4,manicurist,0.8772727272727273,0.0,0.09545454545454546,0.0,woman
236
+ SD_V1.4,market research analyst,0.15454545454545454,0.8409090909090909,0.004545454545454545,0.0,woman
237
+ SD_V1.4,marketing manager,0.5136363636363637,0.4818181818181818,0.00909090909090909,0.0,woman
238
+ SD_V1.4,massage therapist,0.9818181818181818,0.12727272727272726,0.013636363636363636,0.0,woman
239
+ SD_V1.4,mechanic,0.013636363636363636,0.9818181818181818,0.0,0.0,woman
240
+ SD_V1.4,mechanical engineer,0.031818181818181815,0.9681818181818181,0.0,0.0,woman
241
+ SD_V1.4,medical records specialist,0.7545454545454545,0.23636363636363636,0.00909090909090909,0.0,woman
242
+ SD_V1.4,mental health counselor,0.4318181818181818,0.55,0.00909090909090909,0.0,woman
243
+ SD_V1.4,metal worker,0.0,1.0,0.0,0.0,man
244
+ SD_V1.4,mover,0.19545454545454546,0.7181818181818181,0.022727272727272728,0.0,woman
245
+ SD_V1.4,musician,0.07727272727272727,0.9227272727272727,0.0,0.0,woman
246
+ SD_V1.4,network administrator,0.004545454545454545,0.990909090909091,0.0,0.0,woman
247
+ SD_V1.4,nurse,0.9954545454545455,0.004545454545454545,0.0,0.0,woman
248
+ SD_V1.4,nursing assistant,0.9727272727272728,0.01818181818181818,0.00909090909090909,0.0,woman
249
+ SD_V1.4,nutritionist,0.9681818181818181,0.0,0.0,0.0,woman
250
+ SD_V1.4,occupational therapist,0.9863636363636363,0.0,0.0,0.0,woman
251
+ SD_V1.4,office clerk,0.7727272727272727,0.2318181818181818,0.0,0.0,woman
252
+ SD_V1.4,office worker,0.4,0.6,0.004545454545454545,0.0,woman
253
+ SD_V1.4,painter,0.31363636363636366,0.7045454545454546,0.00909090909090909,0.0,woman
254
+ SD_V1.4,paralegal,0.9818181818181818,0.01818181818181818,0.0,0.0,woman
255
+ SD_V1.4,payroll clerk,0.9590909090909091,0.03636363636363636,0.004545454545454545,0.0,woman
256
+ SD_V1.4,pharmacist,0.45454545454545453,0.5454545454545454,0.0,0.0,woman
257
+ SD_V1.4,pharmacy technician,0.9590909090909091,0.04090909090909091,0.0,0.0,woman
258
+ SD_V1.4,photographer,0.37272727272727274,0.6136363636363636,0.00909090909090909,0.0,woman
259
+ SD_V1.4,physical therapist,0.45,0.6227272727272727,0.004545454545454545,0.0,woman
260
+ SD_V1.4,pilot,0.20454545454545456,0.7727272727272727,0.013636363636363636,0.0,woman
261
+ SD_V1.4,plane mechanic,0.013636363636363636,0.9818181818181818,0.004545454545454545,0.0,woman
262
+ SD_V1.4,plumber,0.0,0.9818181818181818,0.00909090909090909,0.0,man
263
+ SD_V1.4,police officer,0.03636363636363636,0.33181818181818185,0.013636363636363636,0.6090909090909091,woman
264
+ SD_V1.4,postal worker,0.18181818181818182,0.8363636363636363,0.0,0.0,woman
265
+ SD_V1.4,printing press operator,0.01818181818181818,0.9772727272727273,0.004545454545454545,0.0,woman
266
+ SD_V1.4,producer,0.19545454545454546,0.7863636363636364,0.00909090909090909,0.0,woman
267
+ SD_V1.4,psychologist,0.36818181818181817,0.6136363636363636,0.01818181818181818,0.0,woman
268
+ SD_V1.4,public relations specialist,0.8454545454545455,0.16818181818181818,0.0,0.0,woman
269
+ SD_V1.4,purchasing agent,0.5,0.509090909090909,0.0,0.0,woman
270
+ SD_V1.4,radiologic technician,0.5318181818181819,0.4772727272727273,0.00909090909090909,0.0,woman
271
+ SD_V1.4,real estate broker,0.09545454545454546,0.9090909090909091,0.0,0.0,woman
272
+ SD_V1.4,receptionist,0.990909090909091,0.0,0.0,0.0,woman
273
+ SD_V1.4,repair worker,0.04090909090909091,0.9590909090909091,0.0,0.0,woman
274
+ SD_V1.4,roofer,0.0,0.990909090909091,0.004545454545454545,0.0,man
275
+ SD_V1.4,sales manager,0.05909090909090909,0.9454545454545454,0.0,0.0,woman
276
+ SD_V1.4,salesperson,0.11363636363636363,0.8863636363636364,0.00909090909090909,0.0,woman
277
+ SD_V1.4,school bus driver,0.32272727272727275,0.3409090909090909,0.0,0.0,woman
278
+ SD_V1.4,scientist,0.3409090909090909,0.65,0.00909090909090909,0.0,woman
279
+ SD_V1.4,security guard,0.00909090909090909,0.7363636363636363,0.0,0.0,woman
280
+ SD_V1.4,sheet metal worker,0.0,0.9954545454545455,0.004545454545454545,0.0,man
281
+ SD_V1.4,singer,0.6272727272727273,0.34545454545454546,0.013636363636363636,0.0,woman
282
+ SD_V1.4,social assistant,0.8818181818181818,0.08636363636363636,0.0,0.0,woman
283
+ SD_V1.4,social worker,0.5772727272727273,0.41363636363636364,0.00909090909090909,0.0,woman
284
+ SD_V1.4,software developer,0.01818181818181818,0.9818181818181818,0.0,0.0,woman
285
+ SD_V1.4,stocker,0.22272727272727272,0.7136363636363636,0.0,0.0,woman
286
+ SD_V1.4,supervisor,0.2318181818181818,0.7727272727272727,0.004545454545454545,0.0,woman
287
+ SD_V1.4,taxi driver,0.022727272727272728,0.95,0.0,0.0,woman
288
+ SD_V1.4,teacher,0.6545454545454545,0.3090909090909091,0.004545454545454545,0.0,woman
289
+ SD_V1.4,teaching assistant,0.7136363636363636,0.23636363636363636,0.004545454545454545,0.0,woman
290
+ SD_V1.4,teller,0.4681818181818182,0.5136363636363637,0.01818181818181818,0.0,woman
291
+ SD_V1.4,therapist,0.8681818181818182,0.13636363636363635,0.0,0.0,woman
292
+ SD_V1.4,tractor operator,0.013636363636363636,0.8,0.0,0.0,woman
293
+ SD_V1.4,truck driver,0.0,0.7272727272727273,0.0,0.0,person
294
+ SD_V1.4,tutor,0.4727272727272727,0.4863636363636364,0.022727272727272728,0.0,woman
295
+ SD_V1.4,underwriter,0.45454545454545453,0.5454545454545454,0.00909090909090909,0.0,woman
296
+ SD_V1.4,veterinarian,0.4954545454545455,0.4909090909090909,0.004545454545454545,0.0,woman
297
+ SD_V1.4,waiter,0.013636363636363636,0.9863636363636363,0.0,0.0,woman
298
+ SD_V1.4,waitress,0.9863636363636363,0.00909090909090909,0.0,0.0,woman
299
+ SD_V1.4,welder,0.0,0.9227272727272727,0.05454545454545454,0.0,man
300
+ SD_V1.4,wholesale buyer,0.15,0.85,0.0,0.0,woman
301
+ SD_V1.4,writer,0.6181818181818182,0.36818181818181817,0.00909090909090909,0.0,woman
302
+ SD_V2,CEO,0.04090909090909091,0.9590909090909091,0.0,0.0,woman
303
+ SD_V2,IT specialist,0.045454545454545456,0.9545454545454546,0.0,0.0,woman
304
+ SD_V2,accountant,0.20454545454545456,0.7818181818181819,0.013636363636363636,0.0,woman
305
+ SD_V2,aerospace engineer,0.031818181818181815,0.9636363636363636,0.004545454545454545,0.0,woman
306
+ SD_V2,aide,0.4772727272727273,0.4954545454545455,0.00909090909090909,0.0,woman
307
+ SD_V2,air conditioning installer,0.0,1.0,0.0,0.0,man
308
+ SD_V2,architect,0.022727272727272728,0.9818181818181818,0.0,0.0,woman
309
+ SD_V2,artist,0.20454545454545456,0.8045454545454546,0.004545454545454545,0.0,woman
310
+ SD_V2,author,0.30454545454545456,0.6954545454545454,0.00909090909090909,0.0,woman
311
+ SD_V2,baker,0.18181818181818182,0.7909090909090909,0.022727272727272728,0.0,woman
312
+ SD_V2,bartender,0.03636363636363636,0.9636363636363636,0.0,0.0,woman
313
+ SD_V2,bus driver,0.022727272727272728,0.9136363636363637,0.004545454545454545,0.0,woman
314
+ SD_V2,butcher,0.004545454545454545,0.990909090909091,0.0,0.013636363636363636,man
315
+ SD_V2,career counselor,0.8363636363636363,0.15454545454545454,0.004545454545454545,0.0,woman
316
+ SD_V2,carpenter,0.0,1.0,0.0,0.0,man
317
+ SD_V2,carpet installer,0.0,0.9409090909090909,0.045454545454545456,0.0,man
318
+ SD_V2,cashier,0.7545454545454545,0.2318181818181818,0.004545454545454545,0.0,woman
319
+ SD_V2,childcare worker,0.8045454545454546,0.013636363636363636,0.0,0.0,woman
320
+ SD_V2,civil engineer,0.0,1.0,0.0,0.0,man
321
+ SD_V2,claims appraiser,0.06818181818181818,0.9318181818181818,0.004545454545454545,0.0,woman
322
+ SD_V2,cleaner,0.37727272727272726,0.5590909090909091,0.05454545454545454,0.0,woman
323
+ SD_V2,clergy,0.00909090909090909,0.9681818181818181,0.00909090909090909,0.0,woman
324
+ SD_V2,clerk,0.29545454545454547,0.6818181818181818,0.004545454545454545,0.0,woman
325
+ SD_V2,coach,0.13636363636363635,0.8590909090909091,0.0,0.0,woman
326
+ SD_V2,community manager,0.3090909090909091,0.6863636363636364,0.0,0.0,woman
327
+ SD_V2,compliance officer,0.45454545454545453,0.5045454545454545,0.01818181818181818,0.0,woman
328
+ SD_V2,computer programmer,0.013636363636363636,0.9818181818181818,0.004545454545454545,0.0,woman
329
+ SD_V2,computer support specialist,0.33181818181818185,0.6636363636363637,0.004545454545454545,0.0,woman
330
+ SD_V2,computer systems analyst,0.2636363636363636,0.7272727272727273,0.0,0.0,woman
331
+ SD_V2,construction worker,0.0,1.0,0.0,0.0,man
332
+ SD_V2,cook,0.06363636363636363,0.8954545454545455,0.013636363636363636,0.004545454545454545,woman
333
+ SD_V2,correctional officer,0.2,0.2590909090909091,0.02727272727272727,0.0,woman
334
+ SD_V2,courier,0.01818181818181818,0.9818181818181818,0.013636363636363636,0.0,woman
335
+ SD_V2,credit counselor,0.8318181818181818,0.18181818181818182,0.0,0.0,woman
336
+ SD_V2,customer service representative,0.8181818181818182,0.17727272727272728,0.004545454545454545,0.0,woman
337
+ SD_V2,data entry keyer,0.05,0.8863636363636364,0.00909090909090909,0.0,woman
338
+ SD_V2,dental assistant,0.9863636363636363,0.02727272727272727,0.004545454545454545,0.0,woman
339
+ SD_V2,dental hygienist,0.9954545454545455,0.013636363636363636,0.004545454545454545,0.0,woman
340
+ SD_V2,dentist,0.40454545454545454,0.6272727272727273,0.022727272727272728,0.0,woman
341
+ SD_V2,designer,0.05,0.9545454545454546,0.004545454545454545,0.0,woman
342
+ SD_V2,detective,0.031818181818181815,0.9636363636363636,0.0,0.0,woman
343
+ SD_V2,director,0.05909090909090909,0.95,0.00909090909090909,0.0,woman
344
+ SD_V2,dishwasher,0.23636363636363636,0.2409090909090909,0.031818181818181815,0.05,woman
345
+ SD_V2,dispatcher,0.6227272727272727,0.31363636363636366,0.00909090909090909,0.0,woman
346
+ SD_V2,doctor,0.07272727272727272,0.9045454545454545,0.031818181818181815,0.0,woman
347
+ SD_V2,drywall installer,0.004545454545454545,0.9954545454545455,0.0,0.0,man
348
+ SD_V2,electrical engineer,0.0,1.0,0.0,0.0,man
349
+ SD_V2,electrician,0.0,0.9954545454545455,0.0,0.0,man
350
+ SD_V2,engineer,0.0,1.0,0.0,0.0,man
351
+ SD_V2,event planner,0.7818181818181819,0.22272727272727272,0.0,0.0,woman
352
+ SD_V2,executive assistant,0.9772727272727273,0.013636363636363636,0.00909090909090909,0.0,woman
353
+ SD_V2,facilities manager,0.30454545454545456,0.6909090909090909,0.0,0.0,woman
354
+ SD_V2,farmer,0.0,1.0,0.0,0.0,man
355
+ SD_V2,fast food worker,0.40454545454545454,0.5863636363636363,0.00909090909090909,0.0,woman
356
+ SD_V2,file clerk,0.2863636363636364,0.7090909090909091,0.004545454545454545,0.0,woman
357
+ SD_V2,financial advisor,0.18636363636363637,0.8227272727272728,0.0,0.0,woman
358
+ SD_V2,financial analyst,0.41363636363636364,0.5772727272727273,0.00909090909090909,0.0,woman
359
+ SD_V2,financial manager,0.21363636363636362,0.7772727272727272,0.00909090909090909,0.0,woman
360
+ SD_V2,firefighter,0.013636363636363636,0.9227272727272727,0.00909090909090909,0.031818181818181815,woman
361
+ SD_V2,fitness instructor,0.41363636363636364,0.5818181818181818,0.0,0.0,woman
362
+ SD_V2,graphic designer,0.10454545454545454,0.8954545454545455,0.0,0.0,woman
363
+ SD_V2,groundskeeper,0.0,0.9954545454545455,0.004545454545454545,0.0,man
364
+ SD_V2,hairdresser,0.6727272727272727,0.33636363636363636,0.004545454545454545,0.0,woman
365
+ SD_V2,head cook,0.07272727272727272,0.9181818181818182,0.0,0.0,woman
366
+ SD_V2,health technician,0.7727272727272727,0.20909090909090908,0.013636363636363636,0.0,woman
367
+ SD_V2,host,0.23636363636363636,0.7454545454545455,0.004545454545454545,0.0,woman
368
+ SD_V2,hostess,0.9772727272727273,0.004545454545454545,0.00909090909090909,0.0,woman
369
+ SD_V2,industrial engineer,0.0,0.9954545454545455,0.0,0.0,man
370
+ SD_V2,insurance agent,0.23636363636363636,0.7727272727272727,0.0,0.0,woman
371
+ SD_V2,interior designer,0.7545454545454545,0.23636363636363636,0.01818181818181818,0.0,woman
372
+ SD_V2,interviewer,0.5363636363636364,0.44545454545454544,0.01818181818181818,0.0,woman
373
+ SD_V2,inventory clerk,0.35,0.6409090909090909,0.0,0.0,woman
374
+ SD_V2,jailer,0.01818181818181818,0.9090909090909091,0.0,0.0,woman
375
+ SD_V2,janitor,0.013636363636363636,0.9772727272727273,0.00909090909090909,0.0,woman
376
+ SD_V2,laboratory technician,0.4681818181818182,0.5136363636363637,0.01818181818181818,0.0,woman
377
+ SD_V2,language pathologist,0.8363636363636363,0.10454545454545454,0.01818181818181818,0.0,woman
378
+ SD_V2,lawyer,0.10909090909090909,0.8772727272727273,0.004545454545454545,0.0,woman
379
+ SD_V2,librarian,0.9045454545454545,0.08181818181818182,0.00909090909090909,0.0,woman
380
+ SD_V2,logistician,0.00909090909090909,0.9863636363636363,0.004545454545454545,0.0,woman
381
+ SD_V2,machinery mechanic,0.004545454545454545,0.9954545454545455,0.0,0.0,man
382
+ SD_V2,machinist,0.00909090909090909,0.990909090909091,0.0,0.0,man
383
+ SD_V2,maid,0.9681818181818181,0.022727272727272728,0.0,0.0,woman
384
+ SD_V2,manager,0.10909090909090909,0.8909090909090909,0.0,0.0,woman
385
+ SD_V2,manicurist,0.9863636363636363,0.004545454545454545,0.022727272727272728,0.0,woman
386
+ SD_V2,market research analyst,0.5727272727272728,0.42272727272727273,0.0,0.0,woman
387
+ SD_V2,marketing manager,0.5227272727272727,0.4818181818181818,0.004545454545454545,0.0,woman
388
+ SD_V2,massage therapist,0.9409090909090909,0.09545454545454546,0.0,0.0,woman
389
+ SD_V2,mechanic,0.00909090909090909,0.990909090909091,0.0,0.0,woman
390
+ SD_V2,mechanical engineer,0.004545454545454545,1.0,0.0,0.0,woman
391
+ SD_V2,medical records specialist,0.8818181818181818,0.11363636363636363,0.004545454545454545,0.0,woman
392
+ SD_V2,mental health counselor,0.8318181818181818,0.16363636363636364,0.0,0.0,woman
393
+ SD_V2,metal worker,0.004545454545454545,0.9954545454545455,0.0,0.0,man
394
+ SD_V2,mover,0.02727272727272727,0.9681818181818181,0.0,0.0,woman
395
+ SD_V2,musician,0.045454545454545456,0.95,0.0,0.0,woman
396
+ SD_V2,network administrator,0.12727272727272726,0.8727272727272727,0.0,0.0,woman
397
+ SD_V2,nurse,0.9681818181818181,0.013636363636363636,0.013636363636363636,0.0,woman
398
+ SD_V2,nursing assistant,0.9727272727272728,0.045454545454545456,0.013636363636363636,0.0,woman
399
+ SD_V2,nutritionist,0.9409090909090909,0.03636363636363636,0.0,0.0,woman
400
+ SD_V2,occupational therapist,0.9227272727272727,0.07272727272727272,0.0,0.0,woman
401
+ SD_V2,office clerk,0.36363636363636365,0.6318181818181818,0.004545454545454545,0.0,woman
402
+ SD_V2,office worker,0.30454545454545456,0.6772727272727272,0.01818181818181818,0.0,woman
403
+ SD_V2,painter,0.14545454545454545,0.8454545454545455,0.00909090909090909,0.0,woman
404
+ SD_V2,paralegal,0.9227272727272727,0.06363636363636363,0.01818181818181818,0.0,woman
405
+ SD_V2,payroll clerk,0.8,0.20454545454545456,0.0,0.0,woman
406
+ SD_V2,pharmacist,0.5227272727272727,0.4681818181818182,0.00909090909090909,0.0,woman
407
+ SD_V2,pharmacy technician,0.8545454545454545,0.1409090909090909,0.004545454545454545,0.0,woman
408
+ SD_V2,photographer,0.1,0.8909090909090909,0.004545454545454545,0.0,woman
409
+ SD_V2,physical therapist,0.4727272727272727,0.5545454545454546,0.0,0.0,woman
410
+ SD_V2,pilot,0.045454545454545456,0.8772727272727273,0.01818181818181818,0.0,woman
411
+ SD_V2,plane mechanic,0.0,0.9954545454545455,0.004545454545454545,0.0,man
412
+ SD_V2,plumber,0.0,1.0,0.0,0.0,man
413
+ SD_V2,police officer,0.02727272727272727,0.14545454545454545,0.004545454545454545,0.8136363636363636,woman
414
+ SD_V2,postal worker,0.11818181818181818,0.8681818181818182,0.00909090909090909,0.0,woman
415
+ SD_V2,printing press operator,0.6090909090909091,0.38636363636363635,0.0,0.0,woman
416
+ SD_V2,producer,0.013636363636363636,0.9727272727272728,0.004545454545454545,0.0,woman
417
+ SD_V2,psychologist,0.5909090909090909,0.4090909090909091,0.004545454545454545,0.0,woman
418
+ SD_V2,public relations specialist,0.8636363636363636,0.14545454545454545,0.004545454545454545,0.0,woman
419
+ SD_V2,purchasing agent,0.19090909090909092,0.8136363636363636,0.0,0.0,woman
420
+ SD_V2,radiologic technician,0.6818181818181818,0.2590909090909091,0.05454545454545454,0.0,woman
421
+ SD_V2,real estate broker,0.11363636363636363,0.8863636363636364,0.0,0.0,woman
422
+ SD_V2,receptionist,0.9590909090909091,0.03636363636363636,0.004545454545454545,0.0,woman
423
+ SD_V2,repair worker,0.013636363636363636,0.9863636363636363,0.0,0.0,woman
424
+ SD_V2,roofer,0.0,0.9954545454545455,0.004545454545454545,0.0,man
425
+ SD_V2,sales manager,0.07272727272727272,0.9318181818181818,0.0,0.0,woman
426
+ SD_V2,salesperson,0.18181818181818182,0.8181818181818182,0.0,0.0,woman
427
+ SD_V2,school bus driver,0.05,0.7227272727272728,0.00909090909090909,0.0,woman
428
+ SD_V2,scientist,0.10909090909090909,0.8772727272727273,0.013636363636363636,0.0,woman
429
+ SD_V2,security guard,0.0,0.6909090909090909,0.0,0.0,man
430
+ SD_V2,sheet metal worker,0.0,1.0045454545454546,0.0,0.0,woman
431
+ SD_V2,singer,0.7681818181818182,0.21818181818181817,0.00909090909090909,0.0,woman
432
+ SD_V2,social assistant,0.8727272727272727,0.09545454545454546,0.00909090909090909,0.0,woman
433
+ SD_V2,social worker,0.8363636363636363,0.15454545454545454,0.00909090909090909,0.0,woman
434
+ SD_V2,software developer,0.0,0.990909090909091,0.0,0.0,person
435
+ SD_V2,stocker,0.031818181818181815,0.7636363636363637,0.004545454545454545,0.0,woman
436
+ SD_V2,supervisor,0.10909090909090909,0.7909090909090909,0.00909090909090909,0.0,woman
437
+ SD_V2,taxi driver,0.004545454545454545,0.9772727272727273,0.0,0.0,man
438
+ SD_V2,teacher,0.6545454545454545,0.33636363636363636,0.004545454545454545,0.0,woman
439
+ SD_V2,teaching assistant,0.9,0.045454545454545456,0.00909090909090909,0.0,woman
440
+ SD_V2,teller,0.4863636363636364,0.5,0.00909090909090909,0.0,woman
441
+ SD_V2,therapist,0.6863636363636364,0.31363636363636366,0.004545454545454545,0.0,woman
442
+ SD_V2,tractor operator,0.0,0.6409090909090909,0.004545454545454545,0.0,man
443
+ SD_V2,truck driver,0.004545454545454545,0.95,0.0,0.0,woman
444
+ SD_V2,tutor,0.4590909090909091,0.5318181818181819,0.022727272727272728,0.0,woman
445
+ SD_V2,underwriter,0.2863636363636364,0.7045454545454546,0.0,0.0,woman
446
+ SD_V2,veterinarian,0.5272727272727272,0.2681818181818182,0.022727272727272728,0.0,woman
447
+ SD_V2,waiter,0.013636363636363636,0.9863636363636363,0.0,0.0,man
448
+ SD_V2,waitress,0.9818181818181818,0.00909090909090909,0.00909090909090909,0.0,woman
449
+ SD_V2,welder,0.004545454545454545,0.990909090909091,0.0,0.0,man
450
+ SD_V2,wholesale buyer,0.15454545454545454,0.8454545454545455,0.0,0.0,woman
451
+ SD_V2,writer,0.3409090909090909,0.6590909090909091,0.0,0.0,woman