Emotion-Aware-AI-Assistant/gemma3_12b-it-q4_K_M_hierarchical_standardized

该数据集包含模型名称、图像路径、标签、预测情绪、正确性、响应时间和方法等特征。数据集有一个名为train的分割，包含15,339个样本，总大小为1,987,488字节。数据集设计用于情绪预测任务，predicted_emotion和label特征表明其用途，correct特征可能用于评估模型性能。

The dataset includes features such as model_name, image_path, label, predicted_emotion, correct, response_time, and method. It has a single split named train with 15,339 examples and a total size of 1,987,488 bytes. The dataset is designed for tasks involving emotion prediction, as indicated by the predicted_emotion and label features. The correct feature suggests that the dataset may be used for evaluating model performance.