fabiencasenave/ShapeNetCar_hf_datasets
收藏Hugging Face2025-12-14 更新2025-12-20 收录
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https://hf-mirror.com/datasets/fabiencasenave/ShapeNetCar_hf_datasets
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资源简介：
该数据集涉及物理学习和几何学习，特别是计算流体动力学（CFD）模拟。数据集包含元素连接、网格坐标（X、Y、Z）和顶点字段（如压力）等特征。数据集分为训练集和测试集，分别包含500和111个样本。数据集使用plaid库生成，并以HuggingFace数据集格式存储。README提供了详细的指导，说明如何使用plaid库和HuggingFace的datasets库下载、迭代和提取数据集中的特征。
This dataset pertains to physics learning and geometry learning, specifically involving computational fluid dynamics (CFD) simulations. The dataset includes features such as element connectivity, grid coordinates (X, Y, Z), and vertex fields like pressure. It is divided into train and test splits with 500 and 111 examples respectively. The dataset was generated using the plaid library and is stored in the HuggingFace datasets format. The README provides detailed instructions on how to download, iterate, and extract features from the dataset using both the plaid library and HuggingFaces datasets library.
提供机构：
fabiencasenave
