OMat24_train_rattled_300

The rattled-300 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.

本数据集为OMat24（Open Materials 2024）的rattled-300训练划分。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，划分为子数据集与经子采样的子数据集。OMat24设有两大核心数据集划分：训练集与验证集，二者均进一步划分为前述的子数据集与经子采样的子数据集。