Datasets:
age int64 0 109 ⌀ | workclass stringclasses 7
values | fnlwgt int64 13.5k 1.49M ⌀ | education stringclasses 16
values | education-num int64 1 16 ⌀ | marital-status stringclasses 7
values | occupation stringclasses 14
values | relationship stringclasses 6
values | race stringclasses 10
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 41
values | class stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
25 | Private | 226,802 | 11th | 7 | Never-married | Machine-op-inspct | Own-child | Black | Male | 0 | 0 | 40 | United-States | <=50K |
38 | Private | 89,814 | HS-grad | 9 | Married-civ-spouse | Farming-fishing | Husband | White | Male | 0 | 0 | 50 | United-States | <=50K |
28 | Local-gov | 336,951 | Assoc-acdm | 12 | Married-civ-spouse | Protective-serv | Husband | White | Male | 0 | 0 | 40 | United-States | >50K |
44 | Private | 160,323 | Some-college | 10 | Married-civ-spouse | Machine-op-inspct | Husband | Black | Male | 7,688 | 0 | 40 | United-States | >50K |
34 | Private | 198,693 | 10th | 6 | Never-married | Other-service | Not-in-family | White | Male | 0 | 0 | 30 | United-States | <=50K |
63 | Self-emp-not-inc | 104,626 | Prof-school | 15 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 3,103 | 0 | 32 | United-States | >50K |
24 | Private | 369,667 | Some-college | 10 | Never-married | Other-service | Unmarried | White | Female | 0 | 0 | 40 | United-States | <=50K |
55 | Private | 104,996 | 7th-8th | 4 | Married-civ-spouse | Craft-repair | Husband | White | Male | 0 | 0 | 10 | United-States | <=50K |
65 | Private | 184,454 | HS-grad | 9 | Married-civ-spouse | Machine-op-inspct | Husband | White | Male | 6,418 | 0 | 40 | United-States | >50K |
36 | Federal-gov | 212,465 | Bachelors | 13 | Married-civ-spouse | Adm-clerical | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
26 | Private | 82,091 | HS-grad | 9 | Never-married | Adm-clerical | Not-in-family | White | Female | 0 | 0 | 39 | United-States | <=50K |
48 | Private | 279,724 | HS-grad | 9 | Married-civ-spouse | Machine-op-inspct | Husband | White | Male | 3,103 | 0 | 48 | United-States | >50K |
43 | Private | 346,189 | Masters | 14 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 0 | 50 | United-States | >50K |
20 | State-gov | 444,554 | Some-college | 10 | Never-married | Other-service | Own-child | White | Male | 0 | 0 | 25 | United-States | <=50K |
43 | Private | 128,354 | HS-grad | 9 | Married-civ-spouse | Adm-clerical | Wife | White | Female | 0 | 0 | 30 | United-States | <=50K |
37 | Private | 60,548 | HS-grad | 9 | Widowed | Machine-op-inspct | Unmarried | White | Female | 0 | 0 | 20 | United-States | <=50K |
34 | Private | 107,914 | Bachelors | 13 | Married-civ-spouse | Tech-support | Husband | White | Male | 0 | 0 | 47 | United-States | >50K |
34 | Private | 238,588 | Some-college | 10 | Never-married | Other-service | Own-child | Black | Female | 0 | 0 | 35 | United-States | <=50K |
25 | Private | 220,931 | Bachelors | 13 | Never-married | Prof-specialty | Not-in-family | White | Male | 0 | 0 | 43 | Peru | <=50K |
25 | Private | 205,947 | Bachelors | 13 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
45 | Self-emp-not-inc | 432,824 | HS-grad | 9 | Married-civ-spouse | Craft-repair | Husband | White | Male | 7,298 | 0 | 90 | United-States | >50K |
22 | Private | 236,427 | HS-grad | 9 | Never-married | Adm-clerical | Own-child | White | Male | 0 | 0 | 20 | United-States | <=50K |
23 | Private | 134,446 | HS-grad | 9 | Separated | Machine-op-inspct | Unmarried | Black | Male | 0 | 0 | 54 | United-States | <=50K |
54 | Private | 99,516 | HS-grad | 9 | Married-civ-spouse | Craft-repair | Husband | White | Male | 0 | 0 | 35 | United-States | <=50K |
32 | Self-emp-not-inc | 109,282 | Some-college | 10 | Never-married | Prof-specialty | Not-in-family | White | Male | 0 | 0 | 60 | United-States | <=50K |
46 | State-gov | 106,444 | Some-college | 10 | Married-civ-spouse | Exec-managerial | Husband | Black | Male | 7,688 | 0 | 38 | United-States | >50K |
56 | Self-emp-not-inc | 186,651 | 11th | 7 | Widowed | Other-service | Unmarried | White | Female | 0 | 0 | 50 | United-States | <=50K |
24 | Self-emp-not-inc | 188,274 | Bachelors | 13 | Never-married | Sales | Not-in-family | White | Male | 0 | 0 | 50 | United-States | <=50K |
23 | Local-gov | 258,120 | Some-college | 10 | Married-civ-spouse | Protective-serv | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
26 | Private | 43,311 | HS-grad | 9 | Divorced | Exec-managerial | Unmarried | White | Female | 0 | 0 | 40 | United-States | <=50K |
36 | Local-gov | 403,681 | Bachelors | 13 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 0 | 40 | United-States | >50K |
22 | Private | 248,446 | 5th-6th | 3 | Never-married | Priv-house-serv | Not-in-family | White | Male | 0 | 0 | 50 | Guatemala | <=50K |
17 | Private | 269,430 | 10th | 6 | Never-married | Machine-op-inspct | Not-in-family | White | Male | 0 | 0 | 40 | United-States | <=50K |
20 | Private | 257,509 | HS-grad | 9 | Never-married | Craft-repair | Own-child | White | Male | 0 | 0 | 40 | United-States | <=50K |
65 | Private | 136,384 | Masters | 14 | Married-civ-spouse | Prof-specialty | Husband | White | Male | 0 | 0 | 50 | United-States | >50K |
44 | Self-emp-inc | 120,277 | Assoc-voc | 11 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 0 | 45 | United-States | >50K |
36 | Private | 465,326 | HS-grad | 9 | Married-civ-spouse | Farming-fishing | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
29 | Private | 103,634 | 11th | 7 | Married-civ-spouse | Other-service | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
20 | State-gov | 138,371 | Some-college | 10 | Never-married | Farming-fishing | Own-child | White | Male | 0 | 0 | 32 | United-States | <=50K |
28 | Private | 242,832 | Assoc-voc | 11 | Married-civ-spouse | Prof-specialty | Wife | White | Female | 0 | 0 | 36 | United-States | >50K |
39 | Private | 290,208 | 7th-8th | 4 | Married-civ-spouse | Craft-repair | Husband | White | Male | 0 | 0 | 40 | Mexico | <=50K |
54 | Private | 186,272 | Some-college | 10 | Married-civ-spouse | Transport-moving | Husband | White | Male | 3,908 | 0 | 50 | United-States | <=50K |
52 | Private | 201,062 | 11th | 7 | Separated | Priv-house-serv | Not-in-family | Black | Female | 0 | 0 | 18 | United-States | <=50K |
56 | Self-emp-inc | 131,916 | HS-grad | 9 | Widowed | Exec-managerial | Not-in-family | White | Female | 0 | 0 | 50 | United-States | <=50K |
18 | Private | 54,440 | Some-college | 10 | Never-married | Other-service | Own-child | White | Male | 0 | 0 | 20 | United-States | <=50K |
39 | Private | 280,215 | HS-grad | 9 | Divorced | Handlers-cleaners | Own-child | Black | Male | 0 | 0 | 40 | United-States | <=50K |
21 | Private | 214,399 | Some-college | 10 | Never-married | Other-service | Own-child | White | Female | 0 | 1,721 | 24 | United-States | <=50K |
22 | Private | 54,164 | HS-grad | 9 | Never-married | Other-service | Not-in-family | White | Male | 14,084 | 0 | 60 | United-States | >50K |
38 | Private | 219,446 | 9th | 5 | Married-spouse-absent | Exec-managerial | Not-in-family | White | Male | 0 | 0 | 54 | Mexico | <=50K |
21 | Private | 110,677 | Some-college | 10 | Never-married | Adm-clerical | Own-child | White | Female | 0 | 0 | 40 | United-States | <=50K |
63 | Private | 145,985 | HS-grad | 9 | Married-civ-spouse | Craft-repair | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
34 | Local-gov | 382,078 | Bachelors | 13 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 3,103 | 0 | 50 | United-States | >50K |
42 | Self-emp-inc | 170,721 | HS-grad | 9 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 5,178 | 0 | 50 | United-States | >50K |
33 | Private | 269,705 | HS-grad | 9 | Married-civ-spouse | Handlers-cleaners | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
30 | Private | 101,135 | Bachelors | 13 | Never-married | Exec-managerial | Not-in-family | White | Female | 0 | 0 | 50 | United-States | <=50K |
39 | Private | 118,429 | Some-college | 10 | Divorced | Sales | Not-in-family | White | Male | 0 | 0 | 40 | United-States | <=50K |
26 | Private | 31,208 | Masters | 14 | Never-married | Exec-managerial | Not-in-family | White | Female | 0 | 0 | 40 | United-States | <=50K |
33 | Private | 281,384 | HS-grad | 9 | Never-married | Machine-op-inspct | Own-child | White | Female | 0 | 0 | 40 | United-States | <=50K |
47 | Local-gov | 171,807 | HS-grad | 9 | Divorced | Adm-clerical | Not-in-family | White | Female | 0 | 0 | 40 | United-States | <=50K |
41 | Self-emp-inc | 445,382 | Assoc-acdm | 12 | Married-civ-spouse | Craft-repair | Husband | White | Male | 15,024 | 0 | 60 | United-States | >50K |
19 | Private | 105,460 | Some-college | 10 | Never-married | Other-service | Own-child | White | Male | 0 | 0 | 20 | United-States | <=50K |
46 | Private | 170,338 | HS-grad | 9 | Separated | Transport-moving | Not-in-family | White | Male | 0 | 0 | 40 | United-States | <=50K |
43 | Private | 102,606 | HS-grad | 9 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 0 | 48 | United-States | <=50K |
55 | Private | 323,887 | Some-college | 10 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 15,024 | 0 | 45 | United-States | >50K |
46 | Private | 175,622 | Assoc-voc | 11 | Married-civ-spouse | Tech-support | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
30 | Private | 229,636 | HS-grad | 9 | Married-civ-spouse | Machine-op-inspct | Husband | White | Male | 0 | 0 | 40 | Mexico | <=50K |
21 | Private | 388,946 | Some-college | 10 | Separated | Handlers-cleaners | Not-in-family | White | Female | 0 | 0 | 40 | United-States | <=50K |
46 | Private | 269,034 | Some-college | 10 | Married-civ-spouse | Craft-repair | Husband | Other | Male | 0 | 0 | 40 | Dominican-Republic | <=50K |
41 | Private | 75,012 | HS-grad | 9 | Married-civ-spouse | Machine-op-inspct | Husband | White | Male | 0 | 0 | 50 | United-States | <=50K |
69 | Self-emp-inc | 174,379 | HS-grad | 9 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 0 | 30 | United-States | <=50K |
50 | Private | 312,477 | HS-grad | 9 | Married-civ-spouse | Transport-moving | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
20 | Private | 72,055 | Some-college | 10 | Never-married | Adm-clerical | Not-in-family | White | Female | 0 | 0 | 40 | United-States | <=50K |
45 | Self-emp-inc | 67,001 | Some-college | 10 | Married-civ-spouse | Machine-op-inspct | Husband | White | Male | 0 | 0 | 50 | United-States | <=50K |
23 | Private | 213,734 | Bachelors | 13 | Never-married | Exec-managerial | Not-in-family | White | Male | 0 | 0 | 40 | United-States | <=50K |
24 | Private | 83,141 | Some-college | 10 | Separated | Other-service | Not-in-family | White | Male | 0 | 1,876 | 40 | United-States | <=50K |
31 | Self-emp-not-inc | 113,752 | Some-college | 10 | Married-civ-spouse | Craft-repair | Husband | White | Male | 0 | 0 | 50 | United-States | <=50K |
43 | Private | 170,482 | HS-grad | 9 | Separated | Machine-op-inspct | Not-in-family | White | Female | 0 | 0 | 44 | United-States | <=50K |
20 | Federal-gov | 244,689 | 11th | 7 | Never-married | Other-service | Own-child | White | Female | 0 | 0 | 10 | United-States | <=50K |
55 | Private | 160,631 | HS-grad | 9 | Married-civ-spouse | Sales | Husband | White | Male | 0 | 0 | 56 | United-States | >50K |
24 | Federal-gov | 228,724 | Some-college | 10 | Never-married | Armed-Forces | Not-in-family | White | Male | 0 | 0 | 40 | United-States | <=50K |
59 | Private | 292,946 | Bachelors | 13 | Never-married | Exec-managerial | Not-in-family | White | Female | 0 | 0 | 25 | United-States | <=50K |
49 | Federal-gov | 77,443 | 7th-8th | 4 | Never-married | Other-service | Not-in-family | Black | Male | 0 | 0 | 20 | United-States | <=50K |
33 | Private | 176,410 | Masters | 14 | Married-civ-spouse | Prof-specialty | Wife | White | Female | 5,178 | 0 | 10 | United-States | >50K |
59 | Federal-gov | 98,984 | Bachelors | 13 | Divorced | Adm-clerical | Not-in-family | White | Male | 0 | 0 | 40 | United-States | <=50K |
34 | Private | 198,751 | Masters | 14 | Never-married | Other-service | Not-in-family | Amer-Indian-Eskimo | Male | 0 | 0 | 40 | United-States | <=50K |
20 | Private | 479,296 | HS-grad | 9 | Never-married | Handlers-cleaners | Own-child | White | Male | 0 | 0 | 40 | United-States | <=50K |
25 | Private | 235,218 | Bachelors | 13 | Never-married | Exec-managerial | Own-child | White | Female | 0 | 0 | 40 | United-States | <=50K |
49 | Private | 164,877 | 10th | 6 | Married-civ-spouse | Farming-fishing | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
59 | Private | 272,087 | HS-grad | 9 | Married-civ-spouse | Transport-moving | Husband | White | Male | 0 | 0 | 40 | United-States | >50K |
20 | Private | 169,699 | HS-grad | 9 | Never-married | Adm-clerical | Not-in-family | White | Female | 0 | 0 | 40 | United-States | <=50K |
33 | Private | 202,191 | Some-college | 10 | Never-married | Adm-clerical | Unmarried | Black | Female | 0 | 0 | 35 | United-States | <=50K |
22 | Private | 212,261 | Some-college | 10 | Never-married | Transport-moving | Own-child | Black | Male | 0 | 0 | 39 | United-States | <=50K |
58 | Self-emp-not-inc | 301,568 | 9th | 5 | Widowed | Other-service | Not-in-family | White | Female | 0 | 0 | 40 | United-States | <=50K |
52 | Local-gov | 155,233 | HS-grad | 9 | Widowed | Adm-clerical | Unmarried | White | Female | 0 | 0 | 28 | United-States | <=50K |
36 | Private | 75,826 | 10th | 6 | Separated | Machine-op-inspct | Not-in-family | White | Female | 0 | 0 | 40 | United-States | <=50K |
41 | Local-gov | 201,520 | HS-grad | 9 | Married-civ-spouse | Protective-serv | Husband | White | Male | 0 | 0 | 40 | United-States | <=50K |
28 | Private | 154,236 | HS-grad | 9 | Never-married | Transport-moving | Own-child | White | Male | 2,597 | 0 | 40 | United-States | <=50K |
19 | Private | 289,227 | Some-college | 10 | Never-married | Handlers-cleaners | Own-child | Black | Male | 0 | 0 | 16 | United-States | <=50K |
18 | Private | 217,439 | HS-grad | 9 | Never-married | Other-service | Not-in-family | White | Female | 0 | 0 | 28 | United-States | <=50K |
18 | Private | 179,020 | HS-grad | 9 | Never-married | Machine-op-inspct | Own-child | White | Female | 0 | 0 | 48 | United-States | <=50K |
End of preview. Expand in Data Studio
CertCF Reproducibility Artifacts
This dataset repository contains the local artifacts needed to reproduce the CertCF paper experiments from the code repository.
Contents
data/: processed tabular benchmark inputs expected by the training configs.checkpoints/: trained tabular classifier checkpoints expected by the benchmark.results/: selected parquet files used by the paper analysis notebooks.
The artifact paths mirror the code repository layout. To use them, download this repository into the root of the CertCF code repository.
hf download printf261/certcf-reproducibility \
--repo-type dataset \
--local-dir .
Included Datasets
The processed tabular inputs are:
- Adult:
data/Adult/raw.parquet - COMPAS:
data/Compas/raw.parquet - German Credit:
data/GermanCredit/raw.parquet - Give Me Some Credit:
data/Give Me Some Credit/raw.parquet - HELOC:
data/Heloc/raw.parquet - Lending Club:
data/LendingClub/raw.parquet - Wisconsin Breast Cancer:
data/WisconsinBreastCancer/raw.parquet
These files are provided for reproducibility of the reported experiments.
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