Dataset Description: A total of ten datasets are divided into three parts: 1. Stellar Classification: These datasets also have an SNR greater than 5 and greater than 10, respectively; 2. Stellar Subclass Classification: These datasets have an SNR greater than 5 and greater than 10, respectively; 3. Spectral Full Classification: These datasets have no specific limit on the SNR. SC, SS, and FC in the names of the datasets stand for the three tasks of stellar classification, stellar subclass classification, and full classification, respectively. S and L stand for data from SDSS DR18 and LAMOST DR10, respectively. 5 and 10 represent signal-to-noise ratios greater than 5 or 10. Each dataset underwent 5-fold cross-validation, where the testing set for each fold constituted 20% of the data. Additionally, 25% of the training set was used as a validation set, resulting in a final split ratio of 60% for training, 20% for validation, and 20% for testing.