Datasets:
age
int64 17
90
| workclass
stringclasses 9
values | fnlwgt
int64 12.3k
1.48M
| education
stringclasses 16
values | education.num
int64 1
16
| marital.status
stringclasses 7
values | occupation
stringclasses 15
values | relationship
stringclasses 6
values | race
stringclasses 5
values | sex
stringclasses 2
values | capital.gain
int64 0
100k
| capital.loss
int64 0
4.36k
| hours.per.week
int64 1
99
| native.country
stringclasses 42
values | income
stringclasses 2
values |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
90 | ? | 77,053 | HS-grad | 9 | Widowed | ? | Not-in-family | White | Female | 0 | 4,356 | 40 | United-States | <=50K |
82 | Private | 132,870 | HS-grad | 9 | Widowed | Exec-managerial | Not-in-family | White | Female | 0 | 4,356 | 18 | United-States | <=50K |
66 | ? | 186,061 | Some-college | 10 | Widowed | ? | Unmarried | Black | Female | 0 | 4,356 | 40 | United-States | <=50K |
54 | Private | 140,359 | 7th-8th | 4 | Divorced | Machine-op-inspct | Unmarried | White | Female | 0 | 3,900 | 40 | United-States | <=50K |
41 | Private | 264,663 | Some-college | 10 | Separated | Prof-specialty | Own-child | White | Female | 0 | 3,900 | 40 | United-States | <=50K |
34 | Private | 216,864 | HS-grad | 9 | Divorced | Other-service | Unmarried | White | Female | 0 | 3,770 | 45 | United-States | <=50K |
38 | Private | 150,601 | 10th | 6 | Separated | Adm-clerical | Unmarried | White | Male | 0 | 3,770 | 40 | United-States | <=50K |
74 | State-gov | 88,638 | Doctorate | 16 | Never-married | Prof-specialty | Other-relative | White | Female | 0 | 3,683 | 20 | United-States | >50K |
68 | Federal-gov | 422,013 | HS-grad | 9 | Divorced | Prof-specialty | Not-in-family | White | Female | 0 | 3,683 | 40 | United-States | <=50K |
41 | Private | 70,037 | Some-college | 10 | Never-married | Craft-repair | Unmarried | White | Male | 0 | 3,004 | 60 | ? | >50K |
45 | Private | 172,274 | Doctorate | 16 | Divorced | Prof-specialty | Unmarried | Black | Female | 0 | 3,004 | 35 | United-States | >50K |
38 | Self-emp-not-inc | 164,526 | Prof-school | 15 | Never-married | Prof-specialty | Not-in-family | White | Male | 0 | 2,824 | 45 | United-States | >50K |
52 | Private | 129,177 | Bachelors | 13 | Widowed | Other-service | Not-in-family | White | Female | 0 | 2,824 | 20 | United-States | >50K |
32 | Private | 136,204 | Masters | 14 | Separated | Exec-managerial | Not-in-family | White | Male | 0 | 2,824 | 55 | United-States | >50K |
51 | ? | 172,175 | Doctorate | 16 | Never-married | ? | Not-in-family | White | Male | 0 | 2,824 | 40 | United-States | >50K |
46 | Private | 45,363 | Prof-school | 15 | Divorced | Prof-specialty | Not-in-family | White | Male | 0 | 2,824 | 40 | United-States | >50K |
45 | Private | 172,822 | 11th | 7 | Divorced | Transport-moving | Not-in-family | White | Male | 0 | 2,824 | 76 | United-States | >50K |
57 | Private | 317,847 | Masters | 14 | Divorced | Exec-managerial | Not-in-family | White | Male | 0 | 2,824 | 50 | United-States | >50K |
22 | Private | 119,592 | Assoc-acdm | 12 | Never-married | Handlers-cleaners | Not-in-family | Black | Male | 0 | 2,824 | 40 | ? | >50K |
34 | Private | 203,034 | Bachelors | 13 | Separated | Sales | Not-in-family | White | Male | 0 | 2,824 | 50 | United-States | >50K |
37 | Private | 188,774 | Bachelors | 13 | Never-married | Exec-managerial | Not-in-family | White | Male | 0 | 2,824 | 40 | United-States | >50K |
29 | Private | 77,009 | 11th | 7 | Separated | Sales | Not-in-family | White | Female | 0 | 2,754 | 42 | United-States | <=50K |
61 | Private | 29,059 | HS-grad | 9 | Divorced | Sales | Unmarried | White | Female | 0 | 2,754 | 25 | United-States | <=50K |
51 | Private | 153,870 | Some-college | 10 | Married-civ-spouse | Transport-moving | Husband | White | Male | 0 | 2,603 | 40 | United-States | <=50K |
61 | ? | 135,285 | HS-grad | 9 | Married-civ-spouse | ? | Husband | White | Male | 0 | 2,603 | 32 | United-States | <=50K |
21 | Private | 34,310 | Assoc-voc | 11 | Married-civ-spouse | Craft-repair | Husband | White | Male | 0 | 2,603 | 40 | United-States | <=50K |
33 | Private | 228,696 | 1st-4th | 2 | Married-civ-spouse | Craft-repair | Not-in-family | White | Male | 0 | 2,603 | 32 | Mexico | <=50K |
49 | Private | 122,066 | 5th-6th | 3 | Married-civ-spouse | Other-service | Husband | White | Male | 0 | 2,603 | 40 | Greece | <=50K |
37 | Self-emp-inc | 107,164 | 10th | 6 | Never-married | Transport-moving | Not-in-family | White | Male | 0 | 2,559 | 50 | United-States | >50K |
38 | Private | 175,360 | 10th | 6 | Never-married | Prof-specialty | Not-in-family | White | Male | 0 | 2,559 | 90 | United-States | >50K |
23 | Private | 44,064 | Some-college | 10 | Separated | Other-service | Not-in-family | White | Male | 0 | 2,559 | 40 | United-States | >50K |
59 | Self-emp-inc | 107,287 | 10th | 6 | Widowed | Exec-managerial | Unmarried | White | Female | 0 | 2,559 | 50 | United-States | >50K |
52 | Private | 198,863 | Prof-school | 15 | Divorced | Exec-managerial | Not-in-family | White | Male | 0 | 2,559 | 60 | United-States | >50K |
51 | Private | 123,011 | Bachelors | 13 | Divorced | Exec-managerial | Not-in-family | White | Male | 0 | 2,559 | 50 | United-States | >50K |
60 | Self-emp-not-inc | 205,246 | HS-grad | 9 | Never-married | Exec-managerial | Not-in-family | Black | Male | 0 | 2,559 | 50 | United-States | >50K |
63 | Federal-gov | 39,181 | Doctorate | 16 | Divorced | Exec-managerial | Not-in-family | White | Female | 0 | 2,559 | 60 | United-States | >50K |
53 | Private | 149,650 | HS-grad | 9 | Never-married | Sales | Not-in-family | White | Male | 0 | 2,559 | 48 | United-States | >50K |
51 | Private | 197,163 | Prof-school | 15 | Never-married | Prof-specialty | Not-in-family | White | Female | 0 | 2,559 | 50 | United-States | >50K |
37 | Self-emp-not-inc | 137,527 | Doctorate | 16 | Never-married | Prof-specialty | Not-in-family | White | Female | 0 | 2,559 | 60 | United-States | >50K |
54 | Private | 161,691 | Masters | 14 | Divorced | Prof-specialty | Not-in-family | White | Female | 0 | 2,559 | 40 | United-States | >50K |
44 | Private | 326,232 | Bachelors | 13 | Divorced | Exec-managerial | Unmarried | White | Male | 0 | 2,547 | 50 | United-States | >50K |
43 | Private | 115,806 | Masters | 14 | Divorced | Exec-managerial | Unmarried | White | Female | 0 | 2,547 | 40 | United-States | >50K |
51 | Private | 115,066 | Some-college | 10 | Divorced | Adm-clerical | Unmarried | White | Female | 0 | 2,547 | 40 | United-States | >50K |
43 | Private | 289,669 | Masters | 14 | Divorced | Prof-specialty | Unmarried | White | Female | 0 | 2,547 | 40 | United-States | >50K |
71 | ? | 100,820 | HS-grad | 9 | Married-civ-spouse | ? | Husband | White | Male | 0 | 2,489 | 15 | United-States | <=50K |
48 | Private | 121,253 | Bachelors | 13 | Married-spouse-absent | Sales | Unmarried | White | Female | 0 | 2,472 | 70 | United-States | >50K |
71 | Private | 110,380 | HS-grad | 9 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 2,467 | 52 | United-States | <=50K |
73 | Self-emp-not-inc | 233,882 | HS-grad | 9 | Married-civ-spouse | Farming-fishing | Husband | Asian-Pac-Islander | Male | 0 | 2,457 | 40 | Vietnam | <=50K |
68 | ? | 192,052 | Some-college | 10 | Married-civ-spouse | ? | Wife | White | Female | 0 | 2,457 | 40 | United-States | <=50K |
67 | ? | 174,995 | Some-college | 10 | Married-civ-spouse | ? | Husband | White | Male | 0 | 2,457 | 40 | United-States | <=50K |
40 | Self-emp-not-inc | 335,549 | Prof-school | 15 | Never-married | Prof-specialty | Not-in-family | White | Male | 0 | 2,444 | 45 | United-States | >50K |
50 | Private | 237,729 | HS-grad | 9 | Widowed | Sales | Not-in-family | White | Female | 0 | 2,444 | 72 | United-States | >50K |
51 | State-gov | 68,898 | Assoc-voc | 11 | Divorced | Tech-support | Not-in-family | White | Male | 0 | 2,444 | 39 | United-States | >50K |
42 | Private | 107,276 | Some-college | 10 | Never-married | Exec-managerial | Not-in-family | White | Female | 0 | 2,444 | 40 | United-States | >50K |
39 | Private | 141,584 | Masters | 14 | Never-married | Sales | Not-in-family | White | Male | 0 | 2,444 | 45 | United-States | >50K |
32 | Private | 207,668 | Bachelors | 13 | Never-married | Exec-managerial | Other-relative | White | Male | 0 | 2,444 | 50 | United-States | >50K |
53 | Private | 313,243 | Some-college | 10 | Separated | Craft-repair | Not-in-family | White | Male | 0 | 2,444 | 45 | United-States | >50K |
40 | Local-gov | 147,372 | Some-college | 10 | Never-married | Protective-serv | Not-in-family | White | Male | 0 | 2,444 | 40 | United-States | >50K |
38 | Private | 237,608 | Bachelors | 13 | Never-married | Sales | Not-in-family | White | Female | 0 | 2,444 | 45 | United-States | >50K |
33 | Private | 194,901 | Assoc-voc | 11 | Separated | Craft-repair | Not-in-family | White | Male | 0 | 2,444 | 42 | United-States | >50K |
43 | Private | 155,106 | Assoc-acdm | 12 | Divorced | Craft-repair | Not-in-family | White | Male | 0 | 2,444 | 70 | United-States | >50K |
50 | Self-emp-inc | 121,441 | 11th | 7 | Never-married | Exec-managerial | Other-relative | White | Male | 0 | 2,444 | 40 | United-States | >50K |
44 | Private | 162,028 | Some-college | 10 | Married-civ-spouse | Adm-clerical | Wife | White | Female | 0 | 2,415 | 6 | United-States | >50K |
51 | Self-emp-not-inc | 160,724 | Bachelors | 13 | Married-civ-spouse | Sales | Husband | Asian-Pac-Islander | Male | 0 | 2,415 | 40 | China | >50K |
41 | Private | 132,222 | Prof-school | 15 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 2,415 | 40 | United-States | >50K |
60 | Self-emp-inc | 226,355 | Assoc-voc | 11 | Married-civ-spouse | Machine-op-inspct | Husband | White | Male | 0 | 2,415 | 70 | ? | >50K |
37 | Private | 329,980 | Masters | 14 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 2,415 | 60 | United-States | >50K |
55 | Self-emp-inc | 124,137 | Prof-school | 15 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 2,415 | 35 | Greece | >50K |
39 | Self-emp-inc | 329,980 | Bachelors | 13 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 2,415 | 60 | United-States | >50K |
42 | Self-emp-inc | 187,702 | Prof-school | 15 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 2,415 | 60 | United-States | >50K |
49 | Private | 199,029 | Bachelors | 13 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 2,415 | 55 | United-States | >50K |
47 | Self-emp-not-inc | 145,290 | HS-grad | 9 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 2,415 | 50 | United-States | >50K |
41 | Local-gov | 297,248 | Prof-school | 15 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 2,415 | 45 | United-States | >50K |
55 | Self-emp-inc | 227,856 | Bachelors | 13 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 2,415 | 50 | United-States | >50K |
39 | Private | 179,731 | Masters | 14 | Married-civ-spouse | Exec-managerial | Wife | White | Female | 0 | 2,415 | 65 | United-States | >50K |
42 | Private | 154,374 | Bachelors | 13 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 2,415 | 60 | United-States | >50K |
41 | ? | 27,187 | Assoc-voc | 11 | Married-civ-spouse | ? | Husband | White | Male | 0 | 2,415 | 12 | United-States | >50K |
46 | Private | 326,857 | Masters | 14 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 2,415 | 65 | United-States | >50K |
40 | Private | 160,369 | Masters | 14 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 2,415 | 45 | United-States | >50K |
32 | Private | 396,745 | Bachelors | 13 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 2,415 | 48 | United-States | >50K |
41 | Self-emp-inc | 151,089 | Some-college | 10 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 2,415 | 55 | United-States | >50K |
60 | Self-emp-inc | 336,188 | Prof-school | 15 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 2,415 | 80 | United-States | >50K |
31 | Private | 279,015 | Masters | 14 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 2,415 | 70 | Taiwan | >50K |
58 | Self-emp-not-inc | 43,221 | Some-college | 10 | Married-civ-spouse | Farming-fishing | Husband | White | Male | 0 | 2,415 | 40 | United-States | >50K |
37 | Self-emp-inc | 30,529 | Bachelors | 13 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 2,415 | 50 | United-States | >50K |
44 | Self-emp-not-inc | 201,742 | Bachelors | 13 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 2,415 | 50 | United-States | >50K |
39 | Self-emp-not-inc | 218,490 | Prof-school | 15 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 2,415 | 50 | ? | >50K |
43 | Federal-gov | 156,996 | Prof-school | 15 | Married-civ-spouse | Prof-specialty | Husband | Asian-Pac-Islander | Male | 0 | 2,415 | 55 | ? | >50K |
55 | Self-emp-inc | 298,449 | Bachelors | 13 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 2,415 | 50 | United-States | >50K |
44 | Self-emp-inc | 191,712 | Masters | 14 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 2,415 | 55 | United-States | >50K |
39 | Private | 198,654 | Prof-school | 15 | Married-civ-spouse | Prof-specialty | Husband | Asian-Pac-Islander | Male | 0 | 2,415 | 67 | India | >50K |
46 | Self-emp-not-inc | 102,308 | Bachelors | 13 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 2,415 | 40 | United-States | >50K |
39 | Private | 348,521 | Some-college | 10 | Married-civ-spouse | Farming-fishing | Husband | White | Male | 0 | 2,415 | 99 | United-States | >50K |
62 | Self-emp-inc | 56,248 | Bachelors | 13 | Married-civ-spouse | Farming-fishing | Husband | White | Male | 0 | 2,415 | 60 | United-States | >50K |
31 | Self-emp-not-inc | 252,752 | HS-grad | 9 | Married-civ-spouse | Other-service | Wife | White | Female | 0 | 2,415 | 40 | United-States | >50K |
46 | Private | 192,963 | Bachelors | 13 | Married-civ-spouse | Adm-clerical | Husband | Asian-Pac-Islander | Male | 0 | 2,415 | 35 | Philippines | >50K |
46 | Self-emp-not-inc | 198,759 | Prof-school | 15 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 2,415 | 80 | United-States | >50K |
39 | Self-emp-inc | 143,123 | Assoc-voc | 11 | Married-civ-spouse | Craft-repair | Husband | White | Male | 0 | 2,415 | 40 | United-States | >50K |
39 | Private | 237,713 | Prof-school | 15 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 2,415 | 99 | United-States | >50K |
59 | Private | 81,929 | Doctorate | 16 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 2,415 | 45 | United-States | >50K |
adult-census-income
Overview
The adult census income dataset is used for prediction tasks to determine whether a person makes over $50K a year. It can also be used to explore biases in ML algorithms.
Dataset Details
The original dataset, the Adult Census Income, was created by Barry Becker from the 1994 Census database (USA), to explore biases in ML algorithms. The prediction task of this dataset is to determine whether a person makes over 50K a year. This data was extracted from the 1994 Census Bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1) && (HRSWK>0)).
- Dataset Name: adult-census-income
- Language: English
- Total Size: 32,561 demonstrations
Contents
The features and values that can be found in the adult census dataset are the following:
- Income: '>50K' (24,1%), '<=50K'(75,9%).
- Age: continuous.
- Workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked.
- fnlwgt: continuous.
- Education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool.
- Education.num: continuous.
- Marital.status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse.
- Occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspect, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces.
- Relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried.
- Race: White, Asian-Pac-Islander, Amer-Indian--Eskimo, Other, Black.
- Sex: Female, Male.
- Capital.gain: continuous.
- Capital.loss: continuous.
- Hours.per.week: continuous.
- Native.country: United States, Cambodia, England, Puerto Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.
How to use
from datasets import load_dataset
dataset = load_dataset("AiresPucrs/adult-census-income", split='train')
License
This dataset is licensed under the Creative Commons(CC) License CC0 1.0.
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