aorogat/Questions_to_Tagged_Questions_Prompts

`Questions_to_Tagged_Questions_Prompts`数据集旨在训练模型将自然语言问题转换为带标签的问题格式，以增强知识图谱上的问答系统能力。该数据集基于`QueryBridge`数据集，包含一百万个带有SPARQL查询的注释问题。数据集结构为JSON数组，每个条目包含指令、输入和输出。The `Questions_to_Tagged_Questions_Prompts` dataset is designed to facilitate the training of a model to convert natural language questions into tagged question formats, enhancing the capabilities of question-answering systems over knowledge graphs. The dataset is based on the `QueryBridge` dataset, which includes one million annotated questions with SPARQL queries. The dataset is structured as a JSON array, with each entry containing an instruction, input, and output.