10.44M English Test QA Dataset – All Grades & Subjects

6.9 million - Chinese Multi-disciplinary Questions Text Parsing And Processing Data

6.9 million - Chinese Multi-disciplinary Questions Text Parsing And Processing Data, including multiple disciplines in primary school, middle school, high school and university. Each questions contain title, answer, parse, type, subject, grade. The dataset can be used for large model subject knowledge enhancement tasks.

Chinese multi-disciplinary Questions LLM Text

1M Chinese Coding Questions Dataset – Python/Java/C++

This dataset contains 1 million Chinese programming questions with corresponding answers, detailed parses (explanations), and programming language labels. It includes a wide range of questions in C, C++, Python, Java, and JavaScript, making it ideal for training large language models (LLMs) on multilingual code understanding and generation. The questions cover fundamental to advanced topics, supporting AI applications such as code completion, bug fixing, and programming reasoning. This structured dataset enhances model performance in natural language programming tasks and helps reinforce code logic skills in AI systems. All data complies with international privacy regulations including GDPR, CCPA, and PIPL.

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32M Science QA Dataset – Answers & Parsing for LLMs

32 million structured science questions covering mathematics, physics, chemistry, and biology across primary, middle, high school, and university levels. Each question entry includes a title, answer, solution parsing, question type, subject category, and corresponding grade level. The dataset is designed to support AI training tasks such as large language model development, subject-specific knowledge enhancement, machine reading comprehension, and question-answering systems. It provides a rich resource for educational NLP applications and has been validated for quality and completeness. All data complies with global data protection standards including GDPR, CCPA, and PIPL.

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114K Chinese Olympiad Questions Dataset – STEM & QA

This dataset includes 114,000 structured Chinese academic contest questions from primary, middle, and high school levels. Subjects covered include mathematics, physics, chemistry, and biology. Each question is annotated with the question title, correct answer, parse (explanation), subject, grade level, and question type, making it highly suitable for fine-tuning educational large language models (LLMs) and intelligent tutoring systems. The data mirrors real-world Olympiad and competitive test formats in China, providing rich material for enhancing subject-specific knowledge and reasoning capabilities in AI systems. All data complies with global privacy regulations including GDPR, CCPA, and PIPL.

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2.4M Korean Exam Question Dataset for AI Training

This dataset contains 2.4 million structured Korean exam questions covering primary, middle, and high school subjects including Korean, Mathematics, English, Social Studies, Science, Physics, Chemistry, Biology, History, and Geography. Each record includes question type (multiple-choice, fill-in-the-blank, true/false, short answer), the question itself, standard answers, and detailed explanations. The data is professionally annotated and categorized by subject and academic level, making it ideal for training AI models in educational applications such as question answering systems, tutoring bots, academic reasoning, and subject-level knowledge enhancement. It is widely applicable for natural language processing tasks involving structured QA, exam-style NLP training, and educational content generation. All data is collected and processed in compliance with GDPR, CCPA, and PIPL standards, ensuring privacy and legal integrity throughout the lifecycle.

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10.44M English Test QA Dataset – All Grades & Subjects

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English question dataset

English test bank

education QA dataset

parsed English questions

AI dataset for education

English exam questions for AI

question parsing NLP

subject-grade English data

K-12 test questions

university English questions dataset