AIBench Training

AIBench Training是一个平衡的行业标准AI训练基准套件，由中国科学院开发。该数据集包含19个代表性的AI任务，涵盖文本、图像、3D、音频和视频数据，旨在全面评估AI模型的复杂性、计算成本、收敛率等。创建过程中，研究团队与17家行业领先企业合作，确保数据集的实用性和多样性。该数据集主要应用于AI系统的性能评估和优化，解决AI模型训练中的效率和准确性问题。

AIBench Training is a balanced industry-standard AI training benchmark suite developed by the Chinese Academy of Sciences. This suite encompasses 19 representative AI tasks covering text, image, 3D, audio and video data, aiming to comprehensively evaluate the complexity, computational cost, convergence rate and other metrics of AI models. During its development, the research team collaborated with 17 leading industry enterprises to ensure the practicality and diversity of the suite. This suite is primarily applied to the performance evaluation and optimization of AI systems, addressing the issues of efficiency and accuracy in AI model training.