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

该数据集包含多个字段，如情感标签（emotion）、图片路径（image_path）、真实标签（label）、模型名称（model_name）、响应时间（response_time）、解释（explanation）和预测情感（predicted_emotion）。数据集被划分为训练集，共有15,339个示例，大小为11,135,653字节。同时提供了一个默认配置，指定了训练数据的位置。

The dataset includes multiple fields such as emotion labels (emotion), image paths (image_path), actual labels (label), model names (model_name), response times (response_time), explanations (explanation), and predicted emotions (predicted_emotion). The dataset is split into a training set with a total of 15,339 examples and a size of 11,135,653 bytes. A default configuration is provided, specifying the location of the training data.