5 datasets found
  1. faces_dataset

    • kaggle.com
    zip
    Updated Mar 26, 2024
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    GIACOMO CAPITANI (2024). faces_dataset [Dataset]. https://www.kaggle.com/datasets/giacomocapitani/faces-dataset
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    zip(0 bytes)Available download formats
    Dataset updated
    Mar 26, 2024
    Authors
    GIACOMO CAPITANI
    Description

    Dataset

    This dataset was created by GIACOMO CAPITANI

    Contents

  2. d

    Emotion Bias Dataset (EBD)

    • search.dataone.org
    Updated Nov 12, 2023
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    Kyriakou, Kyriakos; Kleanthous, Styliani; Otterbarcher, Jahna; Papadopoulos, George (2023). Emotion Bias Dataset (EBD) [Dataset]. http://doi.org/10.7910/DVN/8MW0RA
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    Dataset updated
    Nov 12, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kyriakou, Kyriakos; Kleanthous, Styliani; Otterbarcher, Jahna; Papadopoulos, George
    Description

    Vision-based cognitive services (CogS) have become crucial in a wide range of applications, from real-time security and social networks to smartphone applications. Many services focus on analyzing people images. When it comes to facial analysis, these services can be misleading or even inaccurate, raising ethical concerns such as the amplification of social stereotypes. We analyzed popular Image Tagging CogS that infer emotion from a person’s face, considering whether they perpetuate racial and gender stereotypes concerning emotion. By comparing both CogS and Human-generated descriptions on a set of controlled images, we highlight the need for transparency and fairness in CogS. In particular, we document evidence that CogS may actually be more likely than crowdworkers to perpetuate the stereotype of the “angry black man" and often attribute black race individuals with “emotions of hostility". This dataset consists of the raw data collected for this work, both from Emotion Analysis Services (EAS) and Crowdsourcing (Crowdworkers from the Appen (formerly known as FigureEight) Platform targeting US and India participants. We’ve used the Chicago Face Database (CFD) as our primary dataset for testing the behavior of the target EAS.

  3. N

    New Chicago, IN annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). New Chicago, IN annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a52b4ef5-f4ce-11ef-8577-3860777c1fe6/
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    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    New Chicago
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in New Chicago. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In New Chicago, the median income for all workers aged 15 years and older, regardless of work hours, was $36,250 for males and $26,793 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 26% between the median incomes of males and females in New Chicago. With women, regardless of work hours, earning 74 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of New Chicago.

    - Full-time workers, aged 15 years and older: In New Chicago, among full-time, year-round workers aged 15 years and older, males earned a median income of $58,333, while females earned $36,216, leading to a 38% gender pay gap among full-time workers. This illustrates that women earn 62 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a lower gender pay gap percentage. This indicates that New Chicago offers better opportunities for women in non-full-time positions.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for New Chicago median household income by race. You can refer the same here

  4. 2017 Chicago Council Survey of American Public Opinion on U.S. Foreign...

    • icpsr.umich.edu
    ascii, delimited +5
    Updated Jun 21, 2021
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    Smeltz, Dina; Daalder, Ivo; Friedhoff, Karl; Kafura, Craig (2021). 2017 Chicago Council Survey of American Public Opinion on U.S. Foreign Policy [Dataset]. http://doi.org/10.3886/ICPSR37970.v1
    Explore at:
    delimited, spss, sas, qualitative data, stata, r, asciiAvailable download formats
    Dataset updated
    Jun 21, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Smeltz, Dina; Daalder, Ivo; Friedhoff, Karl; Kafura, Craig
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/37970/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37970/terms

    Time period covered
    2017
    Area covered
    United States
    Description

    The 2017 Chicago Council Survey continues the Chicago Council on Global Affairs' series of investigations into American public opinion on United States foreign policy. These studies were conducted quadrennially from 1974 to 2002, biennially from 2002 to 2014, and are now conducted annually. They are designed to investigate the opinions and attitudes of the general public on matters related to foreign policy, and to define the parameters of public opinion within which decision-makers must operate. This public opinion study of the United States focused on respondents' opinions of the United States' leadership role in the world and the challenges the country faces domestically and internationally. Data were collected on a wide range of international topics, including: United States' relations with other countries, role in foreign affairs, possible threats to vital interests in the next ten years, foreign policy goals, international trade, the United States' participation in potential treaties, the United States' commitment to NATO, the basing of American troops abroad, policy towards the conflict in Syria, and the United States' relations with other countries. Respondents were also asked their opinion on US institutions, the US president, and federal government programs. Demographic information collected includes age, gender, race/ethnicity, marital status, left-right political self-placement, political affiliation, employment status, highest level of education, religious preference, household income, state of residence, and living quarters ownership status.

  5. Data from: 2015 Chicago Council Survey of American Public Opinion and U.S....

    • icpsr.umich.edu
    • search.datacite.org
    ascii, delimited, r +3
    Updated Jul 29, 2016
    + more versions
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    Kafura, Craig; Smeltz, Dina; Friedhoff, Karl; Daalder, Ivo; Holyk, Gregory; Busby, Joshua (2016). 2015 Chicago Council Survey of American Public Opinion and U.S. Foreign Policy [Dataset]. http://doi.org/10.3886/ICPSR36437.v1
    Explore at:
    ascii, stata, sas, r, delimited, spssAvailable download formats
    Dataset updated
    Jul 29, 2016
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Kafura, Craig; Smeltz, Dina; Friedhoff, Karl; Daalder, Ivo; Holyk, Gregory; Busby, Joshua
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36437/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36437/terms

    Time period covered
    2015
    Area covered
    United States
    Description

    The Chicago Council Surveys are part of a long-running series of public opinion surveys conducted by The Chicago Council on Global Affairs beginning in 1974. They were conducted quadrennially from 1974 to 2002, biennially from 2002 to 2014, and are now conducted annually. The surveys are designed to investigate the opinions and attitudes of the general public on matters related to foreign policy, and to define the parameters of public opinion within which decision-makers must operate. This public opinion study of the United States focused on respondents' opinions of the United States' leadership role in the world and the challenges the country faces domestically and internationally. Data were collected on a wide range of international topics, including: United States' relations with other countries, role in foreign affairs, possible threats to vital interests in the next ten years, foreign policy goals, situations that might justify the use of United States troops in other parts of the world, international trade, United States' participation in potential treaties, U.S. policy towards Russia in Ukraine, the embargo on Cuba and the effects of renewed diplomatic relations with Havana, views of the nuclear deal with Iran and what effects that deal is likely to have, and United States' relations with allies in Asia. Respondents were also asked their opinion on domestic issues including climate change, measures to improve the United States' economic competitiveness, and their views on US immigration policy. Demographic information collected includes age, gender, race/ethnicity, marital status, left-right political self-placement, political affiliation, employment status, highest level of education, and religious preference, household income, state of residence, and living quarters ownership status.

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GIACOMO CAPITANI (2024). faces_dataset [Dataset]. https://www.kaggle.com/datasets/giacomocapitani/faces-dataset
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faces_dataset

The Chicago Face Database

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
zip(0 bytes)Available download formats
Dataset updated
Mar 26, 2024
Authors
GIACOMO CAPITANI
Description

Dataset

This dataset was created by GIACOMO CAPITANI

Contents

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