33 datasets found
  1. h

    census-job-categories

    • huggingface.co
    Updated Apr 24, 2024
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    Andrew Behrenfeld (2024). census-job-categories [Dataset]. https://huggingface.co/datasets/andrew-behr/census-job-categories
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 24, 2024
    Authors
    Andrew Behrenfeld
    Description

    Dataset Card for Dataset Name

    This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

      Dataset Details
    
    
    
    
    
      Dataset Description
    

    Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed]

      Dataset Sources [optional]
    

    Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/andrew-behr/census-job-categories.

  2. d

    Juvenile coral census surveys and coral recruitment survey in Florida Reef...

    • catalog.data.gov
    Updated Nov 1, 2025
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    (Point of Contact) (2025). Juvenile coral census surveys and coral recruitment survey in Florida Reef Tract from 20141212 to 20180405 (NCEI Accession 0209223) [Dataset]. https://catalog.data.gov/dataset/juvenile-coral-census-surveys-and-coral-recruitment-survey-in-florida-reef-tract-from-20141212-2
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    Dataset updated
    Nov 1, 2025
    Dataset provided by
    (Point of Contact)
    Description

    This project characterized coral recruitment and juvenile survivorship across the Florida Reef Tract (FRT) for three years. It used a combination of methods to compare settlement rates on tiles and natural reef substrate. The study elucidates species specific patterns of recruitment.

  3. All Employee Census Survey (AES)

    • catalog.data.gov
    • data.va.gov
    • +2more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). All Employee Census Survey (AES) [Dataset]. https://catalog.data.gov/dataset/all-employee-census-survey-aes
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    The Office of Personnel Management requires government agencies, at a minimum, to query employees on job satisfaction, organizational assessment and organizational culture. VHA maintains response data for all census surveys such as the Voice of VA as well as the VA Entrance and Exit surveys.

  4. r

    Early Indicators of Later Work Levels Disease and Death (EI) - Union Army...

    • rrid.site
    • scicrunch.org
    • +2more
    Updated Oct 16, 2025
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    (2025). Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets [Dataset]. http://identifiers.org/RRID:SCR_008921
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    Dataset updated
    Oct 16, 2025
    Description

    A dataset to advance the study of life-cycle interactions of biomedical and socioeconomic factors in the aging process. The EI project has assembled a variety of large datasets covering the life histories of approximately 39,616 white male volunteers (drawn from a random sample of 331 companies) who served in the Union Army (UA), and of about 6,000 African-American veterans from 51 randomly selected United States Colored Troops companies (USCT). Their military records were linked to pension and medical records that detailed the soldiers������?? health status and socioeconomic and family characteristics. Each soldier was searched for in the US decennial census for the years in which they were most likely to be found alive (1850, 1860, 1880, 1900, 1910). In addition, a sample consisting of 70,000 men examined for service in the Union Army between September 1864 and April 1865 has been assembled and linked only to census records. These records will be useful for life-cycle comparisons of those accepted and rejected for service. Military Data: The military service and wartime medical histories of the UA and USCT men were collected from the Union Army and United States Colored Troops military service records, carded medical records, and other wartime documents. Pension Data: Wherever possible, the UA and USCT samples have been linked to pension records, including surgeon''''s certificates. About 70% of men in the Union Army sample have a pension. These records provide the bulk of the socioeconomic and demographic information on these men from the late 1800s through the early 1900s, including family structure and employment information. In addition, the surgeon''''s certificates provide rich medical histories, with an average of 5 examinations per linked recruit for the UA, and about 2.5 exams per USCT recruit. Census Data: Both early and late-age familial and socioeconomic information is collected from the manuscript schedules of the federal censuses of 1850, 1860, 1870 (incomplete), 1880, 1900, and 1910. Data Availability: All of the datasets (Military Union Army; linked Census; Surgeon''''s Certificates; Examination Records, and supporting ecological and environmental variables) are publicly available from ICPSR. In addition, copies on CD-ROM may be obtained from the CPE, which also maintains an interactive Internet Data Archive and Documentation Library, which can be accessed on the Project Website. * Dates of Study: 1850-1910 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** Union Army: 35,747 ** Colored Troops: 6,187 ** Examination Sample: 70,800 ICPSR Link: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06836

  5. d

    Soil and census data of Heishiding plot

    • datadryad.org
    • data.niaid.nih.gov
    zip
    Updated Sep 5, 2023
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    Zhengliang Huang (2023). Soil and census data of Heishiding plot [Dataset]. http://doi.org/10.5061/dryad.31zcrjdqp
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    zipAvailable download formats
    Dataset updated
    Sep 5, 2023
    Dataset provided by
    Dryad
    Authors
    Zhengliang Huang
    Time period covered
    Aug 28, 2023
    Description

    Intransitive competition has long been acknowledged as a potential mechanism favoring species coexistence. However, its prevalence, variance along environmental gradients, and possible underlying mechanisms (trade-offs) in plant communities (especially in forests) has seldomly been examined. A recently developed “reverse-engineering” approach based on Markov Chain allows us to estimate competitive transition matrices and competitive intransitivity from observational abundance data. Using this approach, we estimated competitive intransitivity of five dominant species in a subtropical forest and then related it to soil fertility (soil organic matter and soil pH) and demographic trade-offs (growth-survival and stature-recruitment trade-offs). In our forest plot, intransitive competition was common among the dominant species and peaked at the intermediate level of soil organic matter. Neither the growth-survival trade-off nor the stature-recruitment t...

  6. Initial Teacher Training Census - Table 1 - ITT new entrants, recruitment...

    • explore-education-statistics.service.gov.uk
    Updated Dec 5, 2024
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    Department for Education (2024). Initial Teacher Training Census - Table 1 - ITT new entrants, recruitment targets and trainee characteristics by subject [Dataset]. https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/8a51f39f-8a76-4d69-8905-0f2e29d7c9bf
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    Dataset updated
    Dec 5, 2024
    Dataset authored and provided by
    Department for Educationhttps://gov.uk/dfe
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This national level table contains number of new entrants to ITT by subject,characteristics for postgraduates and performance against ITT recruitment targets. This table covers 2019/20 to 2024/25 (2024/25 is provisional, previous years are revised).

  7. C

    Net Job and Business Growth

    • data.ccrpc.org
    csv
    Updated Oct 22, 2024
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    Champaign County Regional Planning Commission (2024). Net Job and Business Growth [Dataset]. https://data.ccrpc.org/dataset/net-job-and-business-growth
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    csvAvailable download formats
    Dataset updated
    Oct 22, 2024
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    The net job and business growth indicator measures the annual change in both the number of firms and the number of employees between 1978 and 2022. The data is categorized by the size of the firm: those with 1-19 employees, those with between 20 and 499 employees, and those with more than 500 employees.

    This data contributes to the big picture of economic conditions in Champaign County. More firms and larger employment numbers are generally positive economic indicators, but any strictly economic indicator should be considered in the context of other factors.

    The number of firms and number of employees show very different trends.

    Historically, there have been significantly more firms with 1-19 employees than firms in the larger two size categories. The number of firms with 1-19 employees has also been relatively consistent until 2021: there were 95 fewer such firms in 2021 than 1978, and the largest year-to-year change in that 43-year period of analysis was a -3.2% decrease between 1979 and 1980. However, there were 437 fewer such firms in 2022 than 1978. There was a decrease in these firms of 12.5% from 2021 to 2022, the only double-digit year-to-year change and the largest year-to-year change over 44 years.

    The larger two size categories have shown an increasing trend over the period of analysis. There were 43 more firms with 20-499 employees in 2022 than 1978, a total increase of 9%. The number of firms with more than 500 employees almost doubled, increasing by 206 firms from 212 in 1978 to 418 in 2022, a total increase of 97.2%.

    The trends of employment also vary based on firm size. Firms with 1-19 employees have consistently, and unsurprisingly, accounted for less of the total employment than the larger two categories. Employment in firms with 1-19 employees has also remained relatively consistent over the period of analysis. Employment in firms with more than 500 employees saw an overall trend of growth, interrupted by brief and intermittent decreases, between 1978 and 2022. Employment in the middle category (firms with between 20 and 499 employees) was also greater in 2022 than in 1978.

    This data is from the U.S. Census Bureau’s Business Dynamics Statistics Data Tables. This data is at the geographic scale of the Champaign-Urbana Metropolitan Statistical Area (MSA), which is comprised of Champaign and Piatt Counties, or a larger area than the cities or Champaign County.

    Source: U.S. Census Bureau; 2022 Business Dynamics Statistics Data Tables; "BDSFSIZE - Business Dynamics Statistics: Firm Size: 1978-2022"; retrieved 21 October 2024.

  8. N

    Niagara Falls 2021 Census - Class of Worker Including Job Permanency

    • niagaraopendata.ca
    • open.niagarafalls.ca
    • +1more
    Updated Jun 16, 2023
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    City of Niagara Falls (2023). Niagara Falls 2021 Census - Class of Worker Including Job Permanency [Dataset]. https://niagaraopendata.ca/dataset/niagara-falls-2021-census-class-of-worker-including-job-permanency
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    xlsx, csv, zip, web page, txt, gpkg, gdb, kml, geojson, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    City of Niagara Falls
    License

    https://niagara.oggtestbed.com/pages/open-government-license-2-0-niagara-fallshttps://niagara.oggtestbed.com/pages/open-government-license-2-0-niagara-falls

    Description

    This spatial data set contains Statistics Canada 2021 Census information for Class of Worker Including Job Permanency by census tract. For more information please visit the Statistics Canada Census Dictionary: https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm

    It is recommended to use the Field Dictionary in conjunction with this data: Click Here

  9. d

    Pittsburgh American Community Survey Census Data 2014 - Sex by Occupation

    • catalog.data.gov
    • data.wprdc.org
    • +3more
    Updated Jan 24, 2023
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    City of Pittsburgh (2023). Pittsburgh American Community Survey Census Data 2014 - Sex by Occupation [Dataset]. https://catalog.data.gov/dataset/pittsburgh-american-community-survey-census-data-2014-sex-by-occupation
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    Dataset updated
    Jan 24, 2023
    Dataset provided by
    City of Pittsburgh
    Area covered
    Pittsburgh
    Description

    Occupation describes the kind of work a person does on the job. Occupation data were derived from answers to questions 45 and 46 in the 2015 American Community Survey (ACS). Question 45 asks: “What kind of work was this person doing?” Question 46 asks: “What were this person’s most important activities or duties?” These questions were asked of all people 15 years old and over who had worked in the past 5 years. For employed people, the data refer to the person’s job during the previous week. For those who worked two or more jobs, the data refer to the job where the person worked the greatest number of hours. For unemployed people and people who are not currently employed but report having a job within the last five years, the data refer to their last job. These questions describe the work activity and occupational experience of the American labor force. Data are used to formulate policy and programs for employment, career development, and training; to provide information on the occupational skills of the labor force in a given area to analyze career trends; and to measure compliance with antidiscrimination policies. Companies use these data to decide where to locate new plants, stores, or offices.

  10. Jan 2016 Current Population Survey: Displaced Workers/Job Tenure

    • catalog.data.gov
    Updated Sep 30, 2025
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    U.S. Census Bureau (2025). Jan 2016 Current Population Survey: Displaced Workers/Job Tenure [Dataset]. https://catalog.data.gov/dataset/jan-2016-current-population-survey-displaced-workers-job-tenure
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    Dataset updated
    Sep 30, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    Displaced Workers: Provides data on workers who lost a job in the last 3 years due to plant closing, shift elimination, or other work-related reason. Job Tenure: Provides data that will measure an individual's tenure with his/her current employer and in his/her current occupation.

  11. B

    Brazil Foreign Capital Census: FDI: Intercompany Loans: Services: Labour...

    • ceicdata.com
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    CEICdata.com, Brazil Foreign Capital Census: FDI: Intercompany Loans: Services: Labour Recruitment & Provision of Personnel [Dataset]. https://www.ceicdata.com/en/brazil/foreign-capital-census-fdi-intercompany-loans-by-economic-activity-sector/foreign-capital-census-fdi-intercompany-loans-services-labour-recruitment--provision-of-personnel
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2010 - Dec 1, 2017
    Area covered
    Brazil
    Variables measured
    Foreign Investment
    Description

    Brazil Foreign Capital Census: (FDI) Foreign Direct Investment: Intercompany Loans: Services: Labour Recruitment & Provision of Personnel data was reported at 32,994,426.690 USD in 2017. This records an increase from the previous number of 25,594,000.502 USD for 2016. Brazil Foreign Capital Census: (FDI) Foreign Direct Investment: Intercompany Loans: Services: Labour Recruitment & Provision of Personnel data is updated yearly, averaging 14,555,825.148 USD from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 32,994,426.690 USD in 2017 and a record low of 8,260,585.510 USD in 2010. Brazil Foreign Capital Census: (FDI) Foreign Direct Investment: Intercompany Loans: Services: Labour Recruitment & Provision of Personnel data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Investment – Table BR.OC013: Foreign Capital Census: FDI: Intercompany Loans: by Economic Activity Sector.

  12. B

    Brazil Foreign Capital Census: FDI: Equity Capital: Services: Labour...

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). Brazil Foreign Capital Census: FDI: Equity Capital: Services: Labour Recruitment & Provision of Personnel [Dataset]. https://www.ceicdata.com/en/brazil/foreign-capital-census-fdi-equity-capital-by-economic-activity-sector/foreign-capital-census-fdi-equity-capital-services-labour-recruitment--provision-of-personnel
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2010 - Dec 1, 2017
    Area covered
    Brazil
    Variables measured
    Foreign Investment
    Description

    Brazil Foreign Capital Census: (FDI) Foreign Direct Investment: Equity Capital: Services: Labour Recruitment & Provision of Personnel data was reported at 50,316,817.819 USD in 2017. This records an increase from the previous number of 34,665,045.200 USD for 2016. Brazil Foreign Capital Census: (FDI) Foreign Direct Investment: Equity Capital: Services: Labour Recruitment & Provision of Personnel data is updated yearly, averaging 67,997,045.159 USD from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 122,977,567.085 USD in 2014 and a record low of 25,707,664.727 USD in 2015. Brazil Foreign Capital Census: (FDI) Foreign Direct Investment: Equity Capital: Services: Labour Recruitment & Provision of Personnel data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Investment – Table BR.OC005: Foreign Capital Census: FDI: Equity Capital: by Economic Activity Sector.

  13. G

    Barriers to Indigenous Recruitment

    • open.canada.ca
    docx, html
    Updated Sep 20, 2023
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    Public Service Commission of Canada (2023). Barriers to Indigenous Recruitment [Dataset]. https://open.canada.ca/data/info/8070b068-6add-4e7f-bf29-fc8eb768935d
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    html, docxAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset provided by
    Public Service Commission of Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    The Indigenous Centre of Expertise at the Public Service Commission (PSC) conducted a series of consultations in 2020-2021 to understand and further explore the barriers experienced by Indigenous peoples in federal government recruitment processes and practices.

  14. Employment and Job Change (by Census Tract) 2010-2017

    • hub.arcgis.com
    • gisdata.fultoncountyga.gov
    • +1more
    Updated Apr 23, 2020
    + more versions
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    Georgia Association of Regional Commissions (2020). Employment and Job Change (by Census Tract) 2010-2017 [Dataset]. https://hub.arcgis.com/datasets/c1488e46fef1492f8fbf2baf7e996cb7_17
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    Dataset updated
    Apr 23, 2020
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) to show change in job characteristics over time, including total number of jobs, worker age, sectors and earnings, from 2010-2017, by census tract for the state of Georgia.The manifest of the data is available here.

  15. Job permanency by highest level of education, occupation major group,...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Nov 30, 2022
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    Government of Canada, Statistics Canada (2022). Job permanency by highest level of education, occupation major group, employment income statistics, age and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts [Dataset]. http://doi.org/10.25318/9810045301-eng
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    Dataset updated
    Nov 30, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Data on job permanency by highest level of education, occupation major group (2-digit code) from the National Occupational Classification (NOC) 2021 version 1.0, employment income statistics, age and gender.

  16. o

    Current Population Survey: Annual Demographic File, 2000

    • explore.openaire.eu
    • icpsr.umich.edu
    Updated Jan 1, 2000
    + more versions
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    United States. Bureau Of The Census (2000). Current Population Survey: Annual Demographic File, 2000 [Dataset]. http://doi.org/10.3886/icpsr03048
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    Dataset updated
    Jan 1, 2000
    Authors
    United States. Bureau Of The Census
    Description

    This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, noncash benefits, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 15 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence on March 1, 2000. This file also contains data covering noncash income sources such as food stamps, school lunch programs, employer-provided group health insurance plans, employer-provided pension plans, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Information on demographic characteristics, such as age, sex, race, household relationships, and Hispanic origin, is available for each person in the household enumerated.

  17. f

    Classification of tree species on the basis of their recruitment responses...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Steffi Grote; Richard Condit; Stephen Hubbell; Christian Wirth; Nadja Rüger (2023). Classification of tree species on the basis of their recruitment responses to light availability: negative (br [Dataset]. http://doi.org/10.1371/journal.pone.0081787.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Steffi Grote; Richard Condit; Stephen Hubbell; Christian Wirth; Nadja Rüger
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Classification of tree species on the basis of their recruitment responses to light availability: negative (br

  18. d

    Data from: Factors limiting plant recruitment in a Tropical Afromontane...

    • search.dataone.org
    • datadryad.org
    Updated Apr 20, 2025
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    Iveren Abiem; Ian Dickie; David Kenfack; Hazel Chapman (2025). Factors limiting plant recruitment in a Tropical Afromontane Forest [Dataset]. http://doi.org/10.5061/dryad.gf1vhhmt2
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    Dataset updated
    Apr 20, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Iveren Abiem; Ian Dickie; David Kenfack; Hazel Chapman
    Time period covered
    Jan 1, 2022
    Description

    Predicting how forest species composition may change in response to global change is essential for meaningful management. Which species are most likely to successfully recruit depends on a multitude of factors, but processes operating at the seed-to-seedling transition being especially important. Here we explore how insufficient seed dispersal (dispersal limitation) and ecological filtering of seedlings (establishment limitation) influence species recruitment in an Afromontane Forest. We combined census data from seeds in seed traps and seed-seedling transition plots in a Nigerian montane forest to measure dispersal and establishment limitation across species, life history strategies and seed sizes. From 106 seed traps and 318 seedling plots we recorded 11,278 seeds from 38 species and 2,688 seedlings of 61 species. All species except for one liana showed strong dispersal limitation while 23 out of the 30 species showed establishment limitation. The two lianas sampled had significantly ...

  19. Industry groups by class of worker including job permanency, labour force...

    • ouvert.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Industry groups by class of worker including job permanency, labour force status, age and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts [Dataset]. https://ouvert.canada.ca/data/dataset/a2a8fbb6-bf3c-42a1-afd0-24344b2ff830
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Data on industry groups (4-digit code) from the North American Industry Classification System (NAICS) Canada 2017 version 3.0 by class of worker including job permanency, labour force status, age and gender.

  20. LEHD 2021 Job Flows 2010 2021 RC

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • opendata.atlantaregional.com
    • +3more
    Updated Apr 8, 2024
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    Georgia Association of Regional Commissions (2024). LEHD 2021 Job Flows 2010 2021 RC [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/GARC::lehd-2021-job-flows-2010-2021-rc
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    Dataset updated
    Apr 8, 2024
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The data layer was developed by the Research & Analytics Group of the Atlanta Regional Commission using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) to show change in job characteristics over time, including total number of jobs, worker age, sectors and earnings, from 2010-2021, by various geographies for the state of Georgia.More info on LEHD at https://lehd.ces.census.gov/

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Andrew Behrenfeld (2024). census-job-categories [Dataset]. https://huggingface.co/datasets/andrew-behr/census-job-categories

census-job-categories

andrew-behr/census-job-categories

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13 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Apr 24, 2024
Authors
Andrew Behrenfeld
Description

Dataset Card for Dataset Name

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

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  Dataset Description

Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed]

  Dataset Sources [optional]

Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/andrew-behr/census-job-categories.

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