Emotion-Aware-AI-Assistant/qwen3-vl_8b-instruct_hierarchical_results

该数据集包含与模型性能指标相关的特征，特别是情感分类任务。特征包括各种准确性度量（如宏观和加权F1、精确度、召回率）、特定情感指标（愤怒、厌恶、恐惧、快乐、中性、悲伤、惊讶）以及响应时间统计。数据集似乎包含不同模型和方法的评估结果，训练集中有一个示例。

The dataset contains features related to model performance metrics, particularly focusing on emotion classification tasks. The features include various accuracy measures (like macro and weighted F1, precision, recall), emotion-specific metrics (anger, disgust, fear, happiness, neutral, sadness, surprise), and response time statistics. The dataset appears to contain evaluation results for different models and methods, with a single example in the train split.