OMat24_train_rattled_500_subsampled

The rattled-500-subsampled training split of OMat24 (Open Materials 2024). OMat24 is a large-scale open dataset of density functional theory (DFT) calculations. The dataset is available in subdatasets and subsampled sub-datasets based on the structure generation strategy used. There are two main splits in OMat24: train and validation, each divided into the aforementioned subsampling and sub-datasets.

OMat24（Open Materials 2024）的经rattled-500下采样的训练划分集。OMat24是一款大规模开源的密度泛函理论（DFT）计算数据集。该数据集依据所采用的结构生成策略，分为基础子数据集与经下采样的子数据集两大类。OMat24设有两大核心划分：训练集与验证集，二者均进一步划分为前文提及的基础子数据集与下采样子数据集。