2026-10-12T02:09:16Z https://www.scidb.cn/oai

10.57760/sciencedb.23774 2025-04-17T13:45:35Z

2025-04-17 MTR-QA：Multi-Type Reasoning Question Answering Dataset doi:10.57760/sciencedb.23774 en The MTR-QA dataset contains 24312 inference data, including 8740 logical inference data, 9105 semantic inference data, 2647 mathematical inference data, and 3818 comprehensive knowledge inference data, with a size of 34.1MB. It is stored in JSON format, and each JSON object has 6 attributes: instruction, question, answer, target, label, and difficulty, corresponding to user provided instructions, user provided options, correct answers, thought chains, question inference types, and question difficulty levels. Among them, label corresponds to different types of reasoning, including logical reasoning, semantic reasoning, mathematical reasoning, and comprehensive knowledge reasoning; Difficulty is divided into three levels based on language difficulty, problem-solving steps, and complexity of knowledge points: beginner, intermediate, and advanced. The grading method can clearly evaluate the difficulty level.  Large Language Models; Multi-Type; Reasoning Question-Answer; Datasets Wang Qiang Jiang Chenglin Ma Ning Li Yingjie Wu Wenshe PUBLIC https://creativecommons.org/licenses/by-sa/4.0/ dataset http://www.doi.org/10.11922/11-6035.csd.2025.0062.zh Science Data Bank