Emotion-Aware-AI-Assistant/ministral-3_3b-instruct-2512-q4_K_M_discrete_results

该数据集包含与模型性能相关的多种指标，如准确率、宏F1、宏精确率、宏召回率、加权F1、加权精确率、加权召回率等，以及特定情绪相关的指标（如愤怒、厌恶、恐惧、快乐、中性、悲伤、惊讶的F1、精确率和召回率）。此外，还包含其他相关信息，如错误格式、情绪拒绝、总时间等。数据集可能用于情绪分类或情感分析模型的评估。

The dataset includes various metrics related to model performance, such as accuracy, macro F1, macro precision, macro recall, weighted F1, weighted precision, weighted recall, etc., as well as emotion-specific metrics (e.g., F1, precision, and recall for anger, disgust, fear, happiness, neutral, sadness, surprise). It also contains other related information, such as wrong format, emotion refused, total time, etc. The dataset is likely used for evaluating emotion classification or sentiment analysis models.