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本研究旨在通过创建一个大规模的、真实的对话数据集来对抗网络诱拐。数据集将通过在线调查收集，主要针对青少年和家长，模拟网络诱拐场景，收集他们的真实反应。数据集的创建过程涉及让参与者在模拟的网络诱拐情境中作出反应，以此来收集数据。该数据集将用于开发教育对话代理，帮助青少年识别和应对网络诱拐的风险，增强他们的应对能力。

This study aims to combat online grooming by constructing a large-scale, realistic conversational dataset. The dataset will be collected via online surveys targeting primarily adolescents and their parents, with simulated online grooming scenarios deployed to capture their authentic reactions. The dataset construction process involves having participants respond to these simulated online grooming situations to collect the required data. This dataset will be utilized to develop educational conversational AI agents that assist adolescents in identifying and responding to the risks of online grooming, and enhance their crisis response capabilities.