Severity-Aware Women Safety Survey Dataset for Decision-Support System Research

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Authors: Christlin Jefrina R
Cited by: 0

Abstract

This dataset contains anonymized survey responses collected to support the development and evaluation of a severity-aware decision-support system for women’s safety. The dataset includes structured threat indicators, severity-related experiential signals (fear, escalation, loss of control, authority misuse, physical boundary violations, and threats), and contextual safety information. The data were collected through a trauma-informed survey with informed consent and anonymization procedures. No personally identifiable information is included. The dataset is intended for research purposes in severity modeling, decision-support systems, and safety-aligned large language model applications. This dataset supports the research paper titled: "A Severity-Aware Decision-Support Framework for Women’s Online and Offline Safety Using Large Language Models."

Fields of Study & Subjects

Sexual Assault and Victimization Studies Ethics and Social Impacts of AI Intimate Partner and Family Violence

Publication details

Journal / source
Aperta Turkey Open Archive
Publication date
16 February 2026
Language
EN
Document type
Dataset