77 datasets found
  1. Web Accessibility Compliance Dataset

    • kaggle.com
    zip
    Updated Jul 13, 2025
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    Vaishnavi Kamdi (2025). Web Accessibility Compliance Dataset [Dataset]. https://www.kaggle.com/datasets/vaishnavikamdi725/web-accessibility-compliance-dataset
    Explore at:
    zip(35883 bytes)Available download formats
    Dataset updated
    Jul 13, 2025
    Authors
    Vaishnavi Kamdi
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset contains comprehensive web accessibility audit results from 50 major websites, analyzed using the industry-standard axe-core accessibility testing engine. The data provides insights into common accessibility violations, WCAG compliance levels, and real-world accessibility challenges.

    Key Features:

    • 50 Major Websites Audited (Netflix, Airbnb, Zoom, Trello, etc.)
    • 85 Total Accessibility Violations identified
    • Automated Axe-Core Analysis using Playwright
    • WCAG 2.0/2.1 Compliance Mapping with severity levels
    • Real-World Security Challenges documented

    Dataset Statistics:

    • Successful Audits: 26 (52% success rate)
    • Failed Audits: 24 (due to CSP restrictions)
    • Average Violations per Site: 3.27
    • Most Common Issues: Region landmarks, color contrast, target sizing

    Perfect for accessibility research, compliance analysis, and educational purposes.

  2. r

    Data for: Coverage of Web Accessibility Guidelines Provided by Automated...

    • researchdata.se
    Updated Aug 25, 2025
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    Thomas Fischer (2025). Data for: Coverage of Web Accessibility Guidelines Provided by Automated Checking Tools [Dataset]. http://doi.org/10.5878/qe0c-kb63
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    (6791136), (49025), (34868), (102004), (1320), (8779)Available download formats
    Dataset updated
    Aug 25, 2025
    Dataset provided by
    University of Skövde
    Authors
    Thomas Fischer
    Area covered
    Sweden
    Description

    This data set contains three parts:

    1. A collection of the raw data, which includes (a) the retrieved landing page of each analyzed PSO (to be precise, the DOM presentation from a browser showing this page) both in HTML and text (text without HTML tags), (b) for each of the six automated checker/engine combination one log file, (c) other metadata such as text file containing tools' and libraries' version information. Data of case 1(a) may contain personal data (details see below) and is thus kept in a separate archive file and is only available upon request. Data of case 1(b) has been stripped of personal data and thus may get shared freely. This data allows investigating how the webpages looked at the time of the study and to which assessments the then-current automated checkers came. Future studies can reproduce the same setup and, for example, compare changes over time in PSOs' webpages' accessibility.

    2. A "coverage" file that is essentially a big database on WCAG-2 success criteria, their metadata, and links to automated checkers' documentation and source code. The "coverage" file combines information from various sources, such as information scrapped from W3C web page, accessibility tools' Git repositories, or AXE's documentation. Other researchers can load this "coverage" file to get a database of WCAG-2 success criteria and associated metadata in their data analysis without performing those error-prone and tedious steps themselves.

    3. A collection of Python files. This not only allows reproducing how raw data was process and filtered (up to the output of LaTeX code), but allows other researchers to get inspiration how to solve problems addressed in this code base as well as to re-use code in their own projects.

    The data covered by case 1(a) above includes textual data collected from publicly available web pages of Swedish public sector organizations (PSOs), which may include names, contact details, or other personal or biographical information. Due to the directory structure, for every file the origin of the data is determined, so any further questions about the handling of personal data shall be directed to the respective PSO.

  3. d

    Barrier-free webpage certification statistics

    • data.gov.tw
    csv
    Updated Mar 7, 2024
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    Ministry of Digital Affairs (2024). Barrier-free webpage certification statistics [Dataset]. https://data.gov.tw/en/datasets/8354
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    csvAvailable download formats
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Ministry of Digital Affairs
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    In order to promote an accessible online environment in our country, and to guarantee the rights of people with disabilities to access information, our country has established the "Web Accessibility Development Regulations," developed new accessible web page testing software, and provided agencies with the procedure to apply for the accessibility mark, as well as managing operations related to the accessibility mark for web pages. This data is from 2003 onwards and includes statistics on the accessibility marks for web pages of government agencies, schools, private enterprises, and associations.

  4. i

    Data from: A dataset on the application of the process model for continuous...

    • ieee-dataport.org
    Updated May 18, 2022
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    Milton Campoverde Molina (2022). A dataset on the application of the process model for continuous testing of web accessibility [Dataset]. https://ieee-dataport.org/documents/dataset-application-process-model-continuous-testing-web-accessibility
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    Dataset updated
    May 18, 2022
    Authors
    Milton Campoverde Molina
    License

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

    Description

    Do

  5. Accessibility

    • catalog.data.gov
    • data.virginia.gov
    Updated Sep 8, 2025
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    Administration for Children and Families (2025). Accessibility [Dataset]. https://catalog.data.gov/dataset/accessibility
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    Dataset updated
    Sep 8, 2025
    Dataset provided by
    Administration for Children and Families
    Description

    The Administration for Children and Families (ACF) is committed to providing access to our digital content for individuals with disabilities. To meet this commitment, this site is built to comply with the requirements of Section 508 of the Rehabilitation Act . Section 508 requires that individuals with disabilities, who are members of the public seeking information or services from us, have access to and use of information and data that is comparable to that provided to the public who are not individuals with disabilities, unless an undue burden would be imposed on us. Section 508 also requires us to ensure that federal employees with disabilities have access to and use of information and data that is comparable to the access to and use of information and data by federal employees who are not individuals with disabilities, unless an undue burden would be imposed on us. If you use assistive technology (such as a Braille reader, a screen reader, TTY, etc.) and the format of any material on our websites interferes with your ability to access the information, please contact the Section 508 Coordinator. Please indicate web address of the requested material, the nature of your accessibility problem, and the preferred format in which to receive the information. Metadata-only record linking to the original dataset. Open original dataset below.

  6. o

    Data from: Quantifying the Cost of Web Accessibility Barriers for Blind...

    • openicpsr.org
    Updated Nov 18, 2022
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    Jonathan Lazar (2022). Quantifying the Cost of Web Accessibility Barriers for Blind Users [Dataset]. http://doi.org/10.3886/E183081V1
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    Dataset updated
    Nov 18, 2022
    Dataset provided by
    University of Maryland
    Authors
    Jonathan Lazar
    License

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

    Time period covered
    Mar 2021 - May 2021
    Area covered
    United States
    Description

    This study quantifies the time disparity experienced by Blind users when they encounter web accessibility barriers. The resulting data illustrates a significant reason why web accessibility is imperative, by highlighting and measuring the cost of inaccessibility through the lens of the inequity that accessibility barriers place on the time of users with disabilities in both personal and business settings.

  7. s

    Brazil: e-commerce sites by accessibility for people with disabilities...

    • statista.com
    Updated Aug 26, 2020
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    Statista (2020). Brazil: e-commerce sites by accessibility for people with disabilities 2019-2020 [Dataset]. https://www.statista.com/statistics/1167263/brazil-ecommerce-websites-web-accessibility/
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    Dataset updated
    Aug 26, 2020
    Dataset authored and provided by
    Statista
    Area covered
    Brazil
    Description

    In 2020, almost all (99.93 percent of) e-commerce websites in Brazil were partially accessible for people with physical disabilities, but these online shopping platforms experienced problems in terms of web accessibility. It has been forecast that, in 2020, Brazil would be home to over *** million internet users.

  8. Web Accessibility National Transition Strategy 2012 Progress Report Data

    • researchdata.edu.au
    • data.gov.au
    • +1more
    Updated Jan 14, 2014
    + more versions
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    Department of Finance (2014). Web Accessibility National Transition Strategy 2012 Progress Report Data [Dataset]. https://researchdata.edu.au/web-accessibility-national-report-data/2981443
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    Dataset updated
    Jan 14, 2014
    Dataset provided by
    Data.govhttps://data.gov/
    Authors
    Department of Finance
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Midpoint data gathered as part of the Web Accessibility National Transition Strategy; this data provides a snapshot of the progress made so far.

  9. m

    Web accessibility data of top Chilean Universities

    • data.mendeley.com
    Updated Jan 17, 2019
    + more versions
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    carlos Mañez-Carvajal (2019). Web accessibility data of top Chilean Universities [Dataset]. http://doi.org/10.17632/x7p57ktprb.1
    Explore at:
    Dataset updated
    Jan 17, 2019
    Authors
    carlos Mañez-Carvajal
    License

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

    Area covered
    Chile
    Description

    This data article presents an evaluation of web accessibility of home pages of Chilean Universities listed in The World University Rankings. The study has been carried out using web accessibility evaluation tools and its aim has been to analyze the level of compliance with the WCAG 2.0 regulation. The data presented in this data article is related to the research article entitled “Evaluation of Web Accessibility of Higher Education Institutions in Chile”.

  10. u

    Data from: A dataset on the application of the process model for continuous...

    • portalinvestigacio.uib.cat
    Updated 2021
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    Campoverde-Molina, Milton; Luján-Mora, Sergio; Valverde, Llorenç; Campoverde-Molina, Milton; Luján-Mora, Sergio; Valverde, Llorenç (2021). A dataset on the application of the process model for continuous testing of web accessibility [Dataset]. https://portalinvestigacio.uib.cat/documentos/668fc45ab9e7c03b01bdad60?lang=de
    Explore at:
    Dataset updated
    2021
    Authors
    Campoverde-Molina, Milton; Luján-Mora, Sergio; Valverde, Llorenç; Campoverde-Molina, Milton; Luján-Mora, Sergio; Valverde, Llorenç
    Description

    The lack of accessibility on websites can result in people with disabilities not accessing information online. Therefore, this research aims to create a process model for continuous web accessibility testing by adapting and customizing three methodologies: Deming cycle (Plan, Do, Check, Act), Website Accessibility Conformance Evaluation Methodology (WCAG-EM), and Total Quality Management. The process model is composed of four phases. The first phase (Plan) allows defining the accessibility problem, its importance, and the Web Content Accessibility Guidelines (WCAG) against which will evaluate it. In addition, determine the current situation of the websites, the potential causes of accessibility problems, classify the success criteria by principles, guidelines, and levels of conformity, to elaborate the solution plan and the action plan. The second phase (Do) allows the execution of the action plan to correct the accessibility problems. In this phase, we should perform continuous testing with automatic evaluation tools, end-users, and experts to corroborate that the changes have had an effect. The third phase (Check) allows measuring compliance and non-compliance with the defined Key Performance Indicators (KPIs). This phase also explains the reasons for non-compliance. The fourth and last phase (Act) documents the solutions learned for inclusion in future developments. It was tested using a case study to determine the viability of the process model, which allowed corroborating its functionality and applicability. In future work, we plan to adapt the process model to different workgroups, develop accessible mobile applications, and comply with web accessibility in electronic documents.

  11. W

    Website Accessibility Software Solutions Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 27, 2025
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    Data Insights Market (2025). Website Accessibility Software Solutions Report [Dataset]. https://www.datainsightsmarket.com/reports/website-accessibility-software-solutions-493325
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The website accessibility software market is booming, projected to reach $608 million by 2033 with a 4.8% CAGR. Learn about key drivers, trends, and leading companies shaping this crucial sector for WCAG compliance and inclusive digital experiences. Discover market insights and projections for this rapidly growing industry.

  12. Website accessibility in South Korea 2023, by number of employees

    • statista.com
    Updated Apr 27, 2021
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    Statista (2021). Website accessibility in South Korea 2023, by number of employees [Dataset]. https://www.statista.com/statistics/1228087/south-korea-website-accessibility-by-number-of-employees/
    Explore at:
    Dataset updated
    Apr 27, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    South Korea
    Description

    In 2023, websites operated by organizations with *** to *** employees achieved the highest compliance with the Korean web content accessibility guidelines, averaging **** compliance points.

  13. d

    EnviroAtlas - Accessibility Characteristics in the Conterminous U.S. Web...

    • catalog.data.gov
    • s.cnmilf.com
    • +3more
    Updated Feb 24, 2025
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    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact) (2025). EnviroAtlas - Accessibility Characteristics in the Conterminous U.S. Web Service [Dataset]. https://catalog.data.gov/dataset/enviroatlas-accessibility-characteristics-in-the-conterminous-u-s-web-service3
    Explore at:
    Dataset updated
    Feb 24, 2025
    Dataset provided by
    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact)
    Area covered
    Contiguous United States
    Description

    This EnviroAtlas web service includes maps that illustrate factors affecting transit accessibility, and indicators of accessibility. Accessibility measures how easily people can reach destinations such as their workplaces and can be measured in terms of both time and distance. It is affected by factors such as the proximity of housing to jobs, transit stops, stores, and services; the availability of various transit modes; and land use patterns. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  14. m

    Web accessibility data of Chilean universities

    • data.mendeley.com
    Updated Dec 28, 2018
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    Carlos Máñez Carvajal (2018). Web accessibility data of Chilean universities [Dataset]. http://doi.org/10.17632/fs7bmf665v.2
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    Dataset updated
    Dec 28, 2018
    Authors
    Carlos Máñez Carvajal
    License

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

    Area covered
    Chile
    Description

    The objective of this paper is to show the data obtained from an analysis of higher education institutions in Chile.

  15. m

    Web accessibility evaluation of National Libraries and ISBN Agencies -...

    • data.mendeley.com
    Updated Sep 25, 2025
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    Pastor Nso Mangue (2025). Web accessibility evaluation of National Libraries and ISBN Agencies - September 2025 [Dataset]. http://doi.org/10.17632/2rpn9vhwct.1
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    Dataset updated
    Sep 25, 2025
    Authors
    Pastor Nso Mangue
    License

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

    Description

    This data is a result of web accessibility evaluation of National Libraries and ISBN Agencies, using Popetech web accessibility platform. Popetech (https://www.pope.tech/), in turn, uses WAVE web accessibility evaluation tool (https://wave.webaim.org/). The dataset consist of two files, the first one contains the total ocurrences of each category of accessibility barriers that prevents persons with disabilities from enjoing the websites of National Libraries and ISBN Agencies. The sencond file contains the summary of web accessibility items of the websites of National libraries and ISBN agencies.

  16. Barriers to accessibility when accessing the Internet encountered by persons...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Mar 24, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Barriers to accessibility when accessing the Internet encountered by persons with disabilities or long-term conditions, aged 15 years and over, Canada, 2024 [Dataset]. http://doi.org/10.25318/1310093801-eng
    Explore at:
    Dataset updated
    Mar 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Differences in the number and proportions of persons with disabilities or long-term conditions aged 15 years and over in Canada who experienced at least one type of barrier to accessibility when accessing the Internet because of their condition.

  17. W

    Web Accessibility Testing Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 18, 2025
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    Data Insights Market (2025). Web Accessibility Testing Service Report [Dataset]. https://www.datainsightsmarket.com/reports/web-accessibility-testing-service-1391576
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Web Accessibility Testing Service market is booming, projected to reach $6 billion by 2033 with a 15% CAGR. Learn about key drivers, trends, and restraints shaping this crucial sector for digital inclusion, compliance, and user experience. Explore market size, segmentation, and leading companies.

  18. C

    Internet Accessibility in Pennsylvania

    • data.wprdc.org
    csv, geojson, pdf +1
    Updated Sep 3, 2025
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    Western Pennsylvania Regional Data Center (2025). Internet Accessibility in Pennsylvania [Dataset]. https://data.wprdc.org/dataset/internet-accessibility-in-pennsylvania
    Explore at:
    zip(778211722), geojson(20496669), pdf(1048375), csv(70241), geojson(6576090), csv(3211738), csv(1308393), csv(70079), csv(6125)Available download formats
    Dataset updated
    Sep 3, 2025
    Dataset authored and provided by
    Western Pennsylvania Regional Data Center
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Area covered
    Pennsylvania
    Description

    This is a collection of data on the availability and state of Internet connections by location in Pennsylvania. Each of the resources includes in its description a link to the source of the data.

  19. i

    Data from: A dataset on the evaluation of the accessibility of the home...

    • ieee-dataport.org
    • observatorio-cientifico.ua.es
    • +1more
    Updated Aug 26, 2021
    + more versions
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    Milton Campoverde Molina (2021). A dataset on the evaluation of the accessibility of the home pages of the web portals of Ecuadorian higher education institutions ranked in Webometrics [Dataset]. https://ieee-dataport.org/documents/dataset-evaluation-accessibility-home-pages-web-portals-ecuadorian-higher-education
    Explore at:
    Dataset updated
    Aug 26, 2021
    Authors
    Milton Campoverde Molina
    License

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

    Area covered
    Ecuador
    Description

    this research aims to evaluate the accessibility of the home pages of the web portals of the Ecuadorian higher education institutions ranked in the Webometrics with the Web Content Accessibility Guidelines (WCAG) 2.1 of the World Wide Web Consortium.

  20. m

    Data from: Bibliography (SLR) – Accessible Web Design for Older Adults:...

    • data.mendeley.com
    • produccioncientifica.ugr.es
    Updated Jun 30, 2025
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    Washington Chiriboga-Casanova (2025). Bibliography (SLR) – Accessible Web Design for Older Adults: Challenges and Solutions [Dataset]. http://doi.org/10.17632/f6xdw88x8c.1
    Explore at:
    Dataset updated
    Jun 30, 2025
    Authors
    Washington Chiriboga-Casanova
    License

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

    Description

    This .bib file contains the complete list of references used in the systematic literature review (SLR) presented in the article "Accessible Web Design for Older Adults: Challenges and Solutions". It is provided as a dataset to facilitate transparency, reproducibility, and reuse in related research on web accessibility and inclusive design.

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Vaishnavi Kamdi (2025). Web Accessibility Compliance Dataset [Dataset]. https://www.kaggle.com/datasets/vaishnavikamdi725/web-accessibility-compliance-dataset
Organization logo

Web Accessibility Compliance Dataset

50 Major Websites Audited with axe-core

Explore at:
260 scholarly articles cite this dataset (View in Google Scholar)
zip(35883 bytes)Available download formats
Dataset updated
Jul 13, 2025
Authors
Vaishnavi Kamdi
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

This dataset contains comprehensive web accessibility audit results from 50 major websites, analyzed using the industry-standard axe-core accessibility testing engine. The data provides insights into common accessibility violations, WCAG compliance levels, and real-world accessibility challenges.

Key Features:

  • 50 Major Websites Audited (Netflix, Airbnb, Zoom, Trello, etc.)
  • 85 Total Accessibility Violations identified
  • Automated Axe-Core Analysis using Playwright
  • WCAG 2.0/2.1 Compliance Mapping with severity levels
  • Real-World Security Challenges documented

Dataset Statistics:

  • Successful Audits: 26 (52% success rate)
  • Failed Audits: 24 (due to CSP restrictions)
  • Average Violations per Site: 3.27
  • Most Common Issues: Region landmarks, color contrast, target sizing

Perfect for accessibility research, compliance analysis, and educational purposes.

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