VaisakhKrishna/Emotional_Sentiment_Analysis

该数据集包含用于情感分析和响应生成的对话数据，适用于LLaMA-2模型的微调。数据集中包含用户输入、情感状态、由Gemma2模型生成的定制化响应以及格式化后的文本。数据集的特点包括情感分类、定制化响应以及适用于LLaMA-2模型的格式化数据。该数据集可用于训练和评估情感分析模型，并用于构建能够理解和响应用户情感的情感智能聊天机器人。

This dataset contains conversational data for training and fine-tuning language models for emotional sentiment analysis and response generation. The dataset includes user inputs, their corresponding emotional states, and tailored chatbot responses generated by the Gemma2 model, formatted for training LLaMA-2 models. The dataset consists of four columns: user input text, emotion classification, response generated by the Gemma2 model, and a formatted combination of these for fine-tuning the LLaMA-2 chat model.