Emotion-Aware-AI-Assistant/gemma3_4b-it-q4_K_M_continuous

该数据集包含多模态数据，结合了文本和图像用于情感分析。数据集特征包括emotion（情感）、image_path（图像路径）、label（标签）、model_name（模型名称）、response_time（响应时间）、explanation（解释）和predicted_emotion（预测情感）。数据集包含一个名为train的训练集，共有15,339个样本，总大小为7,381,796字节。这些特征表明该数据集可能用于涉及情感预测、模型响应和解释的任务，例如AI模型评估或情感识别。

This dataset contains multimodal data combining text and images for emotion analysis. The dataset features include emotion, image_path, label, model_name, response_time, explanation, and predicted_emotion. The dataset includes a single split named train with 15,339 examples and a total size of 7,381,796 bytes. These features suggest that the dataset is used for tasks involving emotion prediction, model responses, and explanations, such as AI model evaluation or emotion recognition.