singhalrk/combined-wildchat-deepseek-llama-responses

该数据集是一个大规模多轮对话数据集，包含超过101万条对话示例，主要用于人工智能模型的训练和评估。数据特征包括对话哈希、模型名称、时间戳、对话回合数、语言类型、毒性标注、编辑状态、国家信息、用户IP哈希、查询内容、描述标签模型、详细描述、意图标签模型、原始输出、分类标签、完成原因、样本索引、模型响应、思考过程和响应完成原因等。数据集支持多语言，可能涉及用户与AI模型的交互，涵盖内容审核、意图识别和响应生成等任务，适用于自然语言处理研究。

This dataset is a large-scale multi-turn dialogue dataset containing over 1.01 million conversation examples, primarily used for training and evaluating AI models. Features include conversation hash, model name, timestamp, turn number, language type, toxicity annotation, redaction status, country information, hashed IP, query content, description label model, detailed description, intention label model, raw output, categories, finish reason, sample index, model response, thinking process, and response finish reason. The dataset supports multiple languages and likely involves interactions between users and AI models, covering tasks such as content moderation, intention recognition, and response generation, making it suitable for natural language processing research.