IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v10y2025i9p149-d1753493.html

The Tabular Accessibility Dataset: A Benchmark for LLM-Based Web Accessibility Auditing

Author

Listed:
  • Manuel Andruccioli

    (Department of Computer Science and Engineering, University of Bologna, 47522 Cesena, Italy)

  • Barry Bassi

    (Department of Computer Science and Engineering, University of Bologna, 47522 Cesena, Italy)

  • Giovanni Delnevo

    (Department of Computer Science and Engineering, University of Bologna, 47522 Cesena, Italy)

  • Paola Salomoni

    (Department of Computer Science and Engineering, University of Bologna, 47522 Cesena, Italy)

Abstract

This dataset was developed to support research at the intersection of web accessibility and Artificial Intelligence, with a focus on evaluating how Large Language Models (LLMs) can detect and remediate accessibility issues in source code. It consists of code examples written in PHP, Angular, React, and Vue.js, organized into accessible and non-accessible versions of tabular components. A substantial portion of the dataset was collected from student-developed Vue components, implemented using both the Options and Composition APIs. The dataset is structured to enable both a static analysis of source code and a dynamic analysis of rendered outputs, supporting a range of accessibility research tasks. All files are in plain text and adhere to the FAIR principles, with open licensing (CC BY 4.0) and long-term hosting via Zenodo. This resource is intended for researchers and practitioners working on LLM-based accessibility validation, inclusive software engineering, and AI-assisted frontend development.

Suggested Citation

  • Manuel Andruccioli & Barry Bassi & Giovanni Delnevo & Paola Salomoni, 2025. "The Tabular Accessibility Dataset: A Benchmark for LLM-Based Web Accessibility Auditing," Data, MDPI, vol. 10(9), pages 1-13, September.
    • Handle: RePEc:gam:jdataj:v:10:y:2025:i:9:p:149-:d:1753493
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/10/9/149/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/10/9/149/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Delia Ferri & Silvia Favalli, 2018. "Web Accessibility for People with Disabilities in the European Union: Paving the Road to Social Inclusion," Societies, MDPI, vol. 8(2), pages 1-19, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. George Alex Stelea & Livia Sangeorzan & Nicoleta Enache-David, 2025. "When Cybersecurity Meets Accessibility: A Holistic Development Architecture for Inclusive Cyber-Secure Web Applications and Websites," Future Internet, MDPI, vol. 17(2), pages 1-30, February.
    2. Urszula Załuska & Dorota Kwiatkowska-Ciotucha & Alicja Grześkowiak, 2022. "Travelling from Perspective of Persons with Disability: Results of an International Survey," IJERPH, MDPI, vol. 19(17), pages 1-13, August.
    3. Radka Nacheva, 2024. "Access To The Workplace For Disabled Employees In The Digitalization Era," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 299-309.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:10:y:2025:i:9:p:149-:d:1753493. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.