DOI: 10.57760/sciencedb.j00001.01544
title: The Knowledge Graph Dataset for Martial Arts Culture
title: 面向武术文化的知识图谱数据集

description: A high-quality martial arts knowledge dataset was constructed around the theme of martial arts for large-scale model applications, covering multiple core dimensions such as sects, characters, and encyclopedias. The dataset is mainly based on three platforms: the Chinese Martial Arts Association, the General Administration of Sport of China, and Baidu Baike. After manual screening, standardized processing, and quality monitoring, about 1000 raw data were generated, including martial arts encyclopedia knowledge, martial arts sects, martial arts masters and their relationships, martial arts rules and regulations, martial arts exchanges, and other aspects of information. Extracting over 25000 triplets of information from the constructed martial arts data using a large model, where the inheritor file includes the inheritor profiles and teacher-student relationships of each sect; The competition rules, regulations, policy and regulatory documents include the competition rules in the field of martial arts; The sect file contains information such as the introduction of each sect; The martial arts encyclopedia and Chinese martial arts encyclopedia documents contain knowledge about the meaning, development history, and significance of martial arts; The documents of martial arts masters and renowned martial arts schools include information on famous martial arts masters, schools, and introductions in the field of martial arts; The document on martial arts communication and information release contains detailed information on information exchange in the field of martial arts. This provides a solid data foundation for the application of question answering models in intelligent knowledge question answering tasks, and also promotes the digital dissemination of martial arts culture and the deep application of intelligent systems in traditional cultural fields. 
description: A high-quality martial arts knowledge dataset was constructed around the theme of martial arts for large-scale model applications, covering multiple core dimensions such as sects, characters, and encyclopedias. The dataset is mainly based on three platforms: the Chinese Martial Arts Association, the General Administration of Sport of China, and Baidu Baike. After manual screening, standardized processing, and quality monitoring, about 1000 raw data were generated, including martial arts encyclopedia knowledge, martial arts sects, martial arts masters and their relationships, martial arts rules and regulations, martial arts exchanges, and other aspects of information. Extracting over 25000 triplets of information from the constructed martial arts data using a large model, where the inheritor file includes the inheritor profiles and teacher-student relationships of each sect; The competition rules, regulations, policy and regulatory documents include the competition rules in the field of martial arts; The sect file contains information such as the introduction of each sect; The martial arts encyclopedia and Chinese martial arts encyclopedia documents contain knowledge about the meaning, development history, and significance of martial arts; The documents of martial arts masters and renowned martial arts schools include information on famous martial arts masters, schools, and introductions in the field of martial arts; The document on martial arts communication and information release contains detailed information on information exchange in the field of martial arts. This provides a solid data foundation for the application of question answering models in intelligent knowledge question answering tasks, and also promotes the digital dissemination of martial arts culture and the deep application of intelligent systems in traditional cultural fields.