Emotion-Aware-AI-Assistant/gemma3_12b-it-q4_K_M_discrete_results

该数据集包含与情感分类相关的模型评估指标，包括准确率、宏观和加权F1分数、精确率、召回率（针对愤怒、厌恶、恐惧、快乐、中性、悲伤、惊讶等情感）、混淆矩阵、无效计数以及响应时间统计。数据集似乎专注于评估模型在情感识别任务中的表现。

This dataset contains model evaluation metrics related to emotion classification, including accuracy, macro and weighted F1 scores, precision, recall (for emotions such as anger, disgust, fear, happiness, neutral, sadness, surprise), confusion matrix, invalid counts, and response time statistics. The dataset appears to be focused on evaluating model performance in emotion recognition tasks.