TannerGladson/chess-roberta-base

该数据集分为训练集(train)、验证集(eval)、测试集(test)和填充集(filler)。训练集用于模型训练，验证集用于模型调优，测试集用于模型评估，填充集可能用于数据增强或其他特定目的。所有数据以CSV格式存储。

The dataset is divided into training set (train), validation set (eval), test set (test), and filler set (filler). The training set is used for model training, the validation set is used for model tuning, the test set is used for model evaluation, and the filler set may be used for data augmentation or other specific purposes. All data are stored in CSV format.