Emotion-Aware-AI-Assistant/llava_13b_hierarchical_results

该数据集包含与模型性能指标相关的特征，特别是在情感识别任务中。特征包括各种准确性度量（如准确率、宏F1、宏精确率、宏召回率）、特定情感的度量（如愤怒的F1、厌恶的精确率、惊讶的召回率）以及响应时间和错误计数等附加指标。数据集似乎专注于评估情感识别中的不同模型或方法，训练集中包含一个示例。这些特征表明了一个用于情感识别模型的全面评估框架。

The dataset contains features related to model performance metrics, particularly in the context of emotion recognition tasks. The features include various accuracy measures (e.g., accuracy, macro_f1, macro_precision, macro_recall), emotion-specific metrics (e.g., f1_anger, precision_disgust, recall_surprise), and additional metrics like response times and error counts. The dataset appears to be focused on evaluating different models or methods in emotion recognition, with a single example in the train split. The features suggest a comprehensive evaluation framework for emotion recognition models.