University of Padua

Data from: "Beyond ChatGPT Text Classification: Advances, Challenges, and Ethical Dimensions in AI Detection"

Sciandra, Andrea and Dal Cero, Francesco and Cortelazzo, Michele and Tuzzi, Arjuna (2025) Data from: "Beyond ChatGPT Text Classification: Advances, Challenges, and Ethical Dimensions in AI Detection". [Data Collection]

Collection description

The corpus comprises 1,000 essays on various topics, 500 of which were written by Italian university students who later asked ChatGPT (GPT-3.5 version) to write essays from the same title.

DOI: 10.25430/researchdata.cab.unipd.it.00001706
Keywords: AI detection
Subjects: Physical:Sciences and Engineering > Mathematics: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics > Statistics
Physical:Sciences and Engineering > Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems > Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Social Sciences and Humanities > The Social World, Diversity, Population: Sociology, social psychology, social anthropology, demography, education, communication > Digital social research
Department: Departments > Dipartimento di Filosofia, Sociologia, Pedagogia e Psicologia Applicata (FISPPA)
Depositing User: Andrea Sciandra
Date Deposited: 15 Dec 2025 06:27
Last Modified: 15 Dec 2025 06:27
Creators/Authors:
CreatorsEmailORCID
Sciandra, Andreaandrea.sciandra@unipd.itorcid.org/0000-0001-5621-5463
Dal Cero, Francescofrancesco.dalcero@studenti.unipd.itUNSPECIFIED
Cortelazzo, Michelecortmic@unipd.itorcid.org/0000-0003-2483-7828
Tuzzi, Arjunaarjuna.tuzzi@unipd.itorcid.org/0000-0003-3795-5567
Type of data: Text
Research funder: University of Padova
Research project title: Capturing Distinctiveness in Text Classification Tasks
Grant number: SBAL_BIRD24_01
Collection period:
FromTo
7 January 202430 September 2024
Resource language: Italian
Metadata language: Italian
Publisher: Research Data Unipd
Date: 13 December 2025
Copyright holders: The Author
URI: https://researchdata.cab.unipd.it/id/eprint/1706

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