Emotion-Aware-AI-Assistant/llava-llama3_8b_hierarchical_results

该数据集包含情感分类模型的性能评估指标，包括准确率、F1分数（宏观和加权）、精确率、召回率等针对不同情感（愤怒、厌恶、恐惧、快乐、中性、悲伤、惊讶）的详细指标。此外还包含混淆矩阵数据、无效计数统计以及响应时间相关指标（总时间、平均时间、标准差等）。数据集似乎存储的是模型评估结果而非原始数据。

This dataset contains performance evaluation metrics for emotion classification models, including accuracy, F1 scores (macro and weighted), precision, recall and other detailed metrics for different emotions (anger, disgust, fear, happiness, neutral, sadness, surprise). It also includes confusion matrix data, invalid counts statistics, and response time related metrics (total time, mean time, standard deviation, etc.). The dataset appears to store model evaluation results rather than raw data.