Emergency Accident Conversational Intent Dataset for Edge-Based AI Systems

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Kolusu Naga Sai Manikanta
DOI: 10.5281/zenodo.18660049
Cited by: 0

Abstract

This dataset contains structured conversational queries related to accident emergency scenarios including bleeding, fire hazard, smoke, fuel leak, unconsciousness, brake failure, and general accident guidance.The dataset consists of 2400 structured samples and a separate human-authored validation subset of 120 samples for robustness evaluation.A stratified train/validation/test split is provided to ensure reproducibility.

Fields of Study & Subjects

Speech and dialogue systems IoT and GPS-based Vehicle Safety Systems IoT and Edge/Fog Computing

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 February 2026
Language
EN
Document type
Dataset