库帕思-K12习题数据

本数据集面向教育科技企业、智能教辅平台、大模型研发团队及基础教育教学研究机构，旨在满足K12全阶段智能学习、自动解题及能力评测场景的需求，解决传统题库数据格式不统一、内容分散且难以直接用于模型训练的问题。数据集采用统一的JSON结构，为每道习题提供题干、选项及完整解题过程，覆盖小学数学、初中数学、初中物理、初中化学、高中数学、高中生物等关键学科。与传统散装习题集不同，本数据集将正确答案背后的解题步骤以结构化字段形式呈现，而非仅提供最终答案，使模型能够学习从读题到结论的完整推演路径。数据量级10,000题This dataset is intended for edtech enterprises, intelligent teaching assistant platforms, large language model (LLM) R&D teams, and basic education teaching research institutions. It aims to meet the needs of intelligent learning, automatic problem-solving, and ability assessment scenarios across all K12 stages, addressing the issues of inconsistent data formats, scattered content, and difficulty in directly using traditional question banks for model training. The dataset adopts a unified JSON structure, providing each exercise with the question stem, options, and complete problem-solving process, covering key subjects including primary school mathematics, junior high school mathematics, junior high school physics, junior high school chemistry, senior high school mathematics, senior high school biology, etc. Unlike traditional scattered exercise collections, this dataset presents the problem-solving steps behind the correct answer in structured fields rather than only providing the final answer, enabling models to learn the complete deduction path from reading the question to reaching the conclusion. The dataset contains 10,000 exercises.

搜集汇总

背景与挑战

背景概述

该数据集面向教育科技与智能教辅领域，提供10,000道K12全阶段习题的标准化JSON数据，涵盖数学、物理、化学、生物等关键学科。其特点在于以结构化字段呈现完整的解题步骤，而不仅是最终答案，旨在支持模型学习从读题到结论的完整推演路径，解决传统题库数据分散、格式不统一的问题。