工业机器人与机电一体化技术等领域教育教学音视频数据集
收藏资源简介：
“工业机器人与机电一体化技术等领域教育教学音视频数据集”是由高等教育出版社有限公司依托高校优质专业资源库构建的高质量结构化数据集。该数据集总规模约74GB，总时长1334.62小时，其中视频资源时长1332.31小时，音频资源时长2.31小时。数据内容深度覆盖以机电一体化技术、机械电子工程为代表的核心学科领域，重点聚焦工业机器人调试、虚拟实训及自动机械仿真等前沿技术方向。 本数据集包含丰富的教学录像、工程录像、教学动画等多种形态。所有资源均由一线教师与行业专家录制，涵盖了从基础理论授课、实训操作演示到知识点微课的全流程教学场景。数据已按教学单元、知识点及专业分类进行细粒度切分。 在数据构成上，视频资源主要采用 MP4 格式，音频资源主要采用 WMV格式，确保了数据的通用性与高可用性。在安全与合规方面，所有数据获取与授权合法合规，不涉及潜在数据权益纠纷。
The "Audio-visual Education and Teaching Dataset for Fields Including Industrial Robotics and Mechatronics Technology" is a high-quality structured dataset constructed by Higher Education Press Co., Ltd. based on high-quality professional resource repositories of colleges and universities. The total scale of this dataset is approximately 74 GB, with a total duration of 1334.62 hours, among which video resources last 1332.31 hours and audio resources last 2.31 hours. The dataset deeply covers core disciplinary fields represented by mechatronics technology and mechatronic engineering, and focuses on cutting-edge technical directions such as industrial robot debugging, virtual practical training and automatic machinery simulation. This dataset includes abundant resources in various forms such as teaching videos, engineering videos and teaching animations. All resources are recorded by front-line teachers and industry experts, covering the entire teaching scenario process ranging from basic theoretical lectures and practical operation demonstrations to micro-lectures on knowledge points. The data has been finely segmented according to teaching units, knowledge points and professional classifications. For data composition, video resources mainly adopt MP4 format, while audio resources mainly adopt WMV format, ensuring the universality and high availability of the dataset. In terms of security and compliance, all data acquisition and authorization are legal and compliant, without potential disputes over data rights and interests.
