mlfoundations-dev/scale_up_science_25K

该数据集是一个包含文本内容、类别、URL、标题、问题、推理过程、解决方案、推理轨迹、对话、学科、专家、主题数量、子主题数量、问题数量、主题、子主题、得分、年份和ID标识等字段的多功能数据集。它适用于文本分类、信息检索、对话系统、知识图谱构建等多种自然语言处理任务。

This dataset is a multifunctional dataset containing fields such as text content, category, URL, title, problem, reasoning process, solution, reasoning trajectory, conversation, discipline, expert, number of topics, number of subtopics, number of questions, topic, subtopic, score, year, and ID identifier. It is suitable for a variety of natural language processing tasks such as text classification, information retrieval, dialogue systems, and knowledge graph construction.