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Data · dataset · 2026

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

Listed in Aperta Turkey Open Archive

This dataset contains anonymized survey responses collected to support the development and evaluation of a severity-aware decision-support system for women’s safety.

Description

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."

Links

Where it is published

Catalogue records · 1
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Aperta Turkey Open Archive28683113 d agoJSON v1
FieldAssertionExtractorEvidence
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publication_datesource · aperta ulakbim gov trconnector:aperta_ulakbim_gov_tr@1.0.0
titlesource · aperta ulakbim gov trconnector:aperta_ulakbim_gov_tr@1.0.0/metadata/title
updated_datesource · aperta ulakbim gov trconnector:aperta_ulakbim_gov_tr@1.0.0
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