Kendamarron/Synthetic-Preference-ja-Qwen2.5-32B-Mistral-Nemo

该数据集包含多个特征，如指令、输出1、模型1、输出2、模型2等，并且有两个评估结构体judge1和judge2，分别包含准确性、细节、错误、错误讨论和风格等子特征。数据集还包含结果、提示、选择和拒绝等特征。数据集的语言为日语，大小类别为1K<n<10K，许可证为apache-2.0。数据集的训练集包含7098个样本，大小为41692616字节。

This dataset contains multiple features such as instruction, output1, model1, output2, model2, etc., and includes two evaluation structures judge1 and judge2, which contain sub-features such as accuracy, detail, faults, faults_discussion, and style. The dataset also includes features such as result, prompt, chosen, and rejected. The language of the dataset is Japanese, the size category is 1K<n<10K, and the license is apache-2.0. The training set of the dataset contains 7098 samples with a size of 41692616 bytes.