Emotion-Aware-AI-Assistant/qwen3-vl_4b-instruct_hierarchical_results

该数据集包含与模型性能指标相关的特征，特别是针对情感分类任务的评估。特征包括各种准确率和F1分数、不同情感（愤怒、厌恶、恐惧、快乐、中性、悲伤、惊讶）的精确率和召回率指标、混淆矩阵详细信息、无效计数以及响应时间统计。该数据集似乎用于评估不同模型或方法在情感识别任务中的表现。

The dataset contains features related to model performance metrics, particularly for evaluating emotion classification tasks. Features include various accuracy and F1 scores, precision and recall metrics for different emotions (anger, disgust, fear, happiness, neutral, sadness, surprise), confusion matrix details, invalid counts, and response time statistics. The dataset appears to be used for evaluating the performance of different models or methods in emotion recognition tasks.