Mobiusi/COT_search_v2

增强链式思维（COT）搜索数据集旨在为生成和理解自然语言处理任务中的模型查询提供一个结构化框架。该数据集具有明确定义的字段，区分输入、推理过程（COT）和输出，使用户能够理解生成响应的逻辑流程。数据集经过改进，引入了更多样化的查询示例，提高了推理过程描述的准确性和简洁性，并确保输入内容的清晰性以消除歧义。这些改进使得该数据集适合于训练和评估NLP模型，特别是在需要推理和上下文理解的场景中。此数据集仅包含样本数据。

The Enhanced Chain of Thought (COT) Search Dataset aims to provide a structured framework for generating and understanding model queries in natural language processing tasks. This dataset features clearly defined fields that distinguish between inputs, the reasoning process (COT), and outputs, allowing users to comprehend the flow of logic in generating responses. Improvements have been made to introduce more diverse query examples, enhance the accuracy and conciseness of the reasoning process descriptions, and ensure clarity in input content to eliminate ambiguity. These enhancements make this dataset suitable for training and evaluating NLP models, particularly in scenarios requiring reasoning and contextual understanding. This dataset only contains sample data.