The Situational Instructions Database (SID) addresses the need for enhanced situational awareness in artificial intelligence (AI) systems operating in dynamic environments. By integrating detailed scene graphs with dynamically generated, task-specific instructions, SID provides a novel dataset that allows AI systems to perform complex, real-world tasks with improved context sensitivity and operational accuracy. This dataset leverages advanced generative models to simulate a variety of realistic scenarios based on the 3D Semantic Scene Graphs (3DSSG) dataset, enriching it with scenario-specific information that details environmental interactions and tasks. SID facilitates the development of AI applications that can adapt to new and evolving conditions without extensive retraining, supporting research in autonomous technology and AI-driven decision-making processes. This dataset is instrumental in developing robust, context-aware AI agents capable of effectively navigating and responding to unpredictable settings. Available for research and development, SID serves as a critical resource for advancing the capabilities of intelligent systems in complex environments. Dataset available at \url{https://github.com/mindgarage/situational-instructions-database}.

Situational Instructions Database (SID)通过将具体场景图与动态生成的任务专用指令相结合，提供了一个新颖数据集，使得AI系统能够在具备改进的情境感知和操作精度的基础上执行复杂的现实世界任务。该数据集利用先进的生成模型，在基于3D语义场景图（3DSSG）数据集的基础上模拟了各种逼真的场景，并通过提供场景特定信息，详细描述了环境相互作用和任务。SID有助于开发能够适应新的和不断变化条件的AI应用程序，支持自主技术和基于AI的决策过程的研究。该数据集对于开发在复杂环境中具备强大上下文感知能力的智能系统至关重要。数据集可在https://github.com/mindgarage/situational-instructions-database获取。

情境指令数据库：动态环境中的任务指导