Home Elderly Safety Precautions Text Dataset

Currently, with the intensification of global aging trends, home safety for the elderly has become an urgent societal challenge. Existing safety solutions often lack personalization and real-time capabilities, failing to fully meet the special needs of the elderly, which may result in unaddressed safety hazards. This dataset aims to provide a detailed set of safety precautions to help enhance the safety assurance level for elderly people at home. Data collection was conducted through various methods such as on-site research in elderly family environments, online surveys, and interviews with safety experts. To ensure high quality, the data underwent multiple rounds of labeling and consistency checks and was reviewed by experts in related fields. The labeling team consisted of professionals with knowledge of home safety and a background in elderly research, with a scale of 30 people. Data preprocessing included text cleaning, standardization, and semantic analysis to ensure data consistency and applicability. The data is ultimately stored in a structured TXT format for easy retrieval and use. The core advantage of the dataset lies in its labeling accuracy and comprehensiveness. The labeling precision for specific safety types can reach over 95%, and by introducing new quality assessment methods, the data's reliability is significantly enhanced. Compared to similar datasets, this dataset achieves innovation in labeling methods and data augmentation technologies, providing higher practical value, especially in the personalized safety solution recommendations. The quality control report shows that the overall consistency index is about 30% higher than the general level. As the first dataset in its niche field, its scarcity and performance improvement in specific application scenarios are significant, and it has good scalability, which can be used in safety risk assessment and management across different domains.