Datasets:

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AdultSocioeconomicClass

idx int64 0 99	age int64 22 57	workclass stringclasses 9 values	relationship stringclasses 9 values	education stringclasses 10 values	marital-status stringclasses 7 values	occupation stringlengths 5 17	label stringclasses 3 values
0	35	Private	Divorced	Masters	Never-married	Professional	Upper-Middle
1	47	Self-employed	Never-married	Bachelors	Never-married	Management	Upper-Middle
2	29	Private	Married-civ-spouse	High School	Married	Craft-repair	Working-Class
3	32	Private	Married-spouse-absent	Bachelors	Married	Exec-managerial	Middle
4	41	Private	Not-in-family	Masters	Married	Professional	Upper-Middle
5	38	Private	Married-spouse-present	Bachelors	Married	Exec-managerial	Upper-Middle
6	38	Private	Widowed	Associate	Married	Laborer	Working-Class
7	38	Private	Never-married	Associate	Never-married	Sales	Middle
8	38	Private	Married-spouse-absent	Bachelors	Married	Exec-managerial	Upper-Middle
9	38	Private	Not-in-family	High School	Divorced	Teacher	Working-Class
10	38	Private	Never-married	Associate	Never-married	Sales	Middle
11	33	Self-employed	Widowed	College	Married	Sales-Supervisor	Upper-Middle
12	33	Self-employed	Divorced	Some-college	Married	Healthcare	Working-Class
13	30	Local-gov	Never-married	Associates	Divorced	Protective-serv	Middle
14	38	Self-employed	Widowed	Doctorate	Widowed	Healthcare	Upper-Middle
15	45	Self-employed	Never-married	Masters	Never-married	Professional	Upper-Middle
16	22	Local-gov	Not-in-family	Bachelors	Single	Service	Working-Class
17	45	Self-emp-not-inc	Married	Bachelors	Married	Craft-repair	Middle
18	44	Private	Married-civ-spouse	Bachelors	Married	Exec-managerial	Upper-Middle
19	22	Self-employed	Not-in-family	High School	Single	Craft-repair	Working-Class
20	45	Self-emp-not-inc	Married	Bachelors	Married	Craft-repair	Middle
21	27	Private	Married-spouse-absent	Masters	Married	Engineer	Upper-Middle
22	45	Government	Not-in-family	Associates	Married	Craft-repair	Working-Class
23	28	Private	Married-spouse-absent	Bachelors	Married	Other-service	Middle
24	45	Small business	Divorced	Masters	Married	Exec-managerial	Upper-Middle
25	36	Private	Married-spouse-present	Bachelors	Married	Exec-managerial	Upper-Middle
26	45	Self-emp-not-inc	Married	High School	Married	Handlers	Working-Class
27	27	Private	Not-in-family	Some-college	Married	Protective-serv	Middle
28	30	Private	Not-in-family	Masters	Married	Professional	Upper-Middle
29	46	Private	Married	Some-college	Married	Other-service	Working-Class
30	27	Private	Not-in-family	Some-college	Married	Protective-serv	Middle
31	48	Private	Divorced	Masters	Never-married	Scientist	Upper-Middle
32	27	Private	Widowed	High School	Divorced	Transport-moving	Working-Class
33	42	Self-emp-not-inc	Widowed	Masters	Married	Other-service	Middle
34	27	Private	Not-in-family	Professional	Single	Professional	Upper-Middle
35	52	Private	Married-spouse-present	Masters	Married	Exec-managerial	Upper-Middle
36	31	Private	Divorced	High School	Divorced	Transport-moving	Working-Class
37	34	Private	Widowed	High School	Widowed	Other-service	Middle
38	33	Private	Married-spouse-absent	Masters	Married	Professional	Upper-Middle
39	34	Private	Not-in-family	High School	Married	Sales	Working-Class
40	34	Private	Widowed	High School	Widowed	Other-service	Middle
41	22	Private	Never-married	Bachelors	Single	Entrepreneur	Upper-Middle
42	38	Federal-gov	Widowed	Bachelors	Separated	Production	Working-Class
43	25	Private	Married-civ-spouse	Bachelors	Married	Sales	Middle
44	42	Government	Separated	Masters	Separated	Exec-managerial	Upper-Middle
45	30	Private	Married-spouse-present	Masters	Married	Exec-managerial	Upper-Middle
46	27	Private	Widowed	Some-college	Never-married	Sales	Working-Class
47	49	Private	Widowed	Bachelors	Married	Exec-managerial	Middle
48	46	Private	Married-civ-spouse	Masters	Married	Professional	Upper-Middle
49	27	Private	Not-in-family	High School	Single	Laborer	Working-Class
50	43	Private	Widowed	High School	Widowed	Machine-op-inspct	Middle
51	55	Private	Widowed	Bachelors	Married	Consultant	Upper-Middle
52	26	Private	Never-married	High School	Single	Teacher	Working-Class
53	39	State-gov	Never-married	HS-grad	Never-married	Machine-op-inspct	Middle
54	33	Private	Married-spouse-absent	Masters	Married	Exec-managerial	Upper-Middle
55	33	Private	Married-spouse-present	Masters	Married	Sales-Supervisor	Upper-Middle
56	48	Private	Not-in-family	Some-college	Married	Tech-support	Working-Class
57	53	Private	Married-civ-spouse	Some-college	Married	Exec-managerial	Middle
58	40	Private	Married-civ-spouse	Masters	Married	Exec-managerial	Upper-Middle
59	50	Private	Married	Some-college	Married	Protective-serv	Working-Class
60	39	Private	Never-married	Some-college	Never-married	Adm-clerical	Middle
61	38	Private	Married-civ-spouse	Doctorate	Married	Lawyer	Upper-Middle
62	30	Private	Separated	Bachelors	Divorced	Craft-repair	Working-Class
63	45	Self-emp-inc	Divorced	Some-college	Married	Protective-serv	Middle
64	50	Private	Married-civ-spouse	Masters	Married	Exec-managerial	Upper-Middle
65	37	Private	Married-spouse-present	Masters	Married	Exec-managerial	Upper-Middle
66	50	Private	Widowed	High School	Widowed	Craft-repair	Working-Class
67	36	Self-emp-inc	Never-married	Bachelors	Never-married	Other-service	Middle
68	37	Private	Married-spouse-absent	Bachelors	Married	Professional	Upper-Middle
69	33	Private	Not-in-family	Some-college	Single	Farming-fishing	Working-Class
70	50	Self-emp-not-inc	Divorced	High School	Divorced	Craft-repair	Middle
71	30	Private	Never-married	Masters	Never-married	Healthcare	Upper-Middle
72	42	Private	Widowed	Masters	Married	Craft-repair	Working-Class
73	31	Private	Never-married	Some-college	Never-married	Tech-support	Middle
74	36	Self-employed	Not-in-family	Bachelors	Married	Professional	Upper-Middle
75	44	Private	Married-spouse-present	Masters	Married	Exec-managerial	Upper-Middle
76	25	Private	Not-in-family	High School	Single	Build-Environment	Working-Class
77	25	Private	Married-civ-spouse	High School	Married	Protective-serv	Middle
78	36	Private	Married-civ-spouse	Masters	Married	Professional	Upper-Middle
79	45	Private	Not-in-family	High School	Single	Craft-repair	Working-Class
80	46	Private	Married	Some-college	Married	Farming-fishing	Middle
81	45	Private	Married-spouse-absent	Bachelors	Divorced	Writer	Upper-Middle
82	39	Private	Married-civ-spouse	Some-college	Married	Service	Working-Class
83	44	Private	Married-civ-spouse	Masters	Married	Craft-repair	Middle
84	39	Small business	Not-in-family	Doctorate	Married	Healthcare	Upper-Middle
85	39	Private	Married-spouse-present	Masters	Married	Exec-managerial	Upper-Middle
86	37	Private	Not-in-family	Some-college	Married	Office-clerk	Working-Class
87	42	Private	Widowed	Associate	Widowed	Sales	Middle
88	39	Private	Married-spouse-absent	Masters	Married	Exec-managerial	Upper-Middle
89	28	Private	Not-in-family	High School	Married	Sales	Working-Class
90	26	Private	Not-in-family	High School	Not-in-family	Tech-support	Middle
91	29	Private	Married-spouse-absent	College	Married	Architect	Upper-Middle
92	34	Private	Never-married	High School	Single	Healthcare	Working-Class
93	36	Private	Widowed	Bachelors	Married	Exec-managerial	Middle
94	48	Private	Married-civ-spouse	Professional	Married	Exec-managerial	Upper-Middle
95	46	Private	Married-spouse-present	Masters	Married	Exec-managerial	Upper-Middle
96	44	Private	Married	Bachelors	Married	Craft-repair	Working-Class
97	57	Private	Not-in-family	High School	Married	Exec-managerial	Middle
98	45	Private	Married-civ-spouse	Bachelors	Married	Professional	Upper-Middle
99	36	Private	Not-in-family	High School	Married	Farming-fishing	Working-Class

AdultSocioeconomicClass

tags: Classification, Socioeconomic, Diversity

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'AdultSocioeconomicClass' dataset is designed for classification purposes, aiming to identify socioeconomic classes based on various personal and employment characteristics. The dataset includes six features that are commonly associated with an individual's socioeconomic status: age, workclass, relationship, education, marital status, and occupation. The labels for classification are 'Upper-Middle', 'Middle', 'Working-Class', and 'Lower-Middle'. These labels represent broad socioeconomic classes. The diversity of the dataset ensures that the model trained on this data will be robust and able to generalize well across different demographic groups.

CSV Content Preview:

age,workclass,relationship,education,marital-status,occupation,label
35,Private,Divorced,Masters,Never-married,Professional,Upper-Middle
47,Self-employed,Never-married,Bachelors,Never-married,Management,Upper-Middle
29,Private,Married-civ-spouse,High School,Married,Craft-repair,Working-Class
32,Private,Married-spouse-absent,Bachelors,Married,Exec-managerial,Middle
41,Private,Not-in-family,Masters,Married,Professional,Upper-Middle

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'A dataset with age, workclass, relationship, education, martial-status and occupation':

Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=A+dataset+with+age,+workclass,+relationship,+education,+martial-status+and+occupation&dataset=AdultSocioeconomicClass&tags=Classification,+Socioeconomic,+Diversity
Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub

Downloads last month: 52

Size of downloaded dataset files:

7.42 kB

Size of the auto-converted Parquet files:

5.88 kB

Number of rows:

100