off-the-shelf datasets, dataset provider logo
Customer service
Contact

en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

m.nexdata.datatang.com

Home > All Category Datasets > LLM Datasets > 2.4M Korean Exam Question Dataset for AI Training

2.4M Korean Exam Question Dataset for AI Training

korean exam dataset
education dataset
test question dataset
multiple choice QA dataset
K-12 school question data
AI training dataset for education
NLP exam data
structured Korean question dataset
school subject QA dataset

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.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
SpecificationsSpecifications
Data content
Korean K12, university test question
Amount
around 2.4 million questions
Data fields
Contains question types, questions, answers, explanations, etc.
Subject and Grade Level
K12, university；contains math,physics,chemistry,biology
Question Types
single-choice question, fill-in question, true or false question, short answer question, etc.
Format
Jsonl
Language
Korean
Sample Sample
  • 2.4M Korean Exam Question Dataset for AI Training
Recommended DatasetsRecommended Dataset
1.5 Million English STEM Test Questions Dataset – Science and Engineering Subjects

This dataset contains 1.5 million English science and engineering test questions, including mathematics, physics, chemistry, biology, and other STEM subjects at the university level. Each questions contain title, answer, parse, type, subject, grade. The dataset can be used for large model subject knowledge enhancement tasks.

Question-answer dataset Question processing dataset Labeled STEM exam dataset Large-scale test question dataset English STEM test question dataset
6.9M Chinese Educational QA Dataset for LLM Training (K12 to University)

This dataset contains 6.9 million Chinese educational question-answer pairs covering multiple disciplines from primary school to university levels, including mathematics, science, and other academic subjects. Each question includes a title, answer, explanation, question type, subject, and grade level. The dataset is suitable for LLM instruction tuning, educational AI systems, tutoring platforms, math reasoning models, and general knowledge enhancement tasks.

educational dataset math dataset stem dataset k12 dataset instruction dataset for llm
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.

Chinese coding questions dataset programming QA data parsed coding problems Python Java C++ dataset code generation LLM dataset Chinese code questions
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.

science question dataset STEM QA dataset math physics chemistry biology questions education NLP dataset AI training data structured question answer dataset academic QA dataset question parsing dataset K-12 science dataset university level questions dataset
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.

Chinese exam dataset Chinese contest questions Olympiad question dataset parsed Chinese QA AI dataset for Chinese education NLP training Chinese STEM math Olympiad Chinese education QA data
10.44M English Test QA Dataset – All Grades & Subjects

This dataset contains 10.44 million English-language test questions parsed and structured for large-scale educational AI and NLP applications. Each question record includes the title, answer, explanation (parse), subject, grade level, and question type. Covering a full range of academic stages from primary and middle school to high school and university, the dataset spans core subjects such as English, mathematics, biology, and accounting. The content follows the Anglo-American education system and supports tasks such as question answering, subject knowledge enhancement, educational chatbot training, and intelligent tutoring systems. All data are formatted for efficient machine learning use and comply with data protection regulations including GDPR, CCPA, and PIPL.

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
130 Million - Chinese Exam Question Dataset

dataset containing approximately 130 million questions spanning primary school through university and vocational education. The dataset includes 17.63 million K12 question data (including 14.36 million parsing questions), 117 million college and vocational question data. K12 test questions include quality, type, grade band, difficulty, grade, course, answer and solution. university and vocational test questions include titie, answer and etc. For K12 test questions, the subjects including Chinese, mathematics, English, history, geography, politics, biology, physics, chemistry, and science; for university and vocational test questions, the fields include public security, civil service, medicine, foreign languages, academic qualifications, engineering, education, law, economics, vocational, computer science, professional qualifications, and finance.

chinese exam question dataset exam question dataset educational question dataset chinese test question data k12 exam question dataset college exam question dataset educational qa dataset
10.15 Million - Chinese LLM Question Answer Dataset

This dataset contains approximately 10.15 million questions, with explanations and without explanations. Each question includes question type, question, answer, and explanation, some questions may have errors in question types; majors include Party Building, Law, Engineering, Civil Service, Computer Science, Economics, Graduate Studies, Medicine, Language, Self-Study, Comprehensive and Policy Essay Writing; question types include Multiple Choice, Single Choice, True/False, Fill in the Blanks, Short Answer, and Essay; this dataset can be used for tasks such as LLM training, chatgpt

llm question answer dataset qa dataset for llm large qa dataset ai question answer data llm training dataset question answer pairs dataset structured qa dataset
Tell Us Your Special Needs

Current Project Maturity

Early exploration (no concrete specs yet)
Defined goals, need professional guidance
Active development or optimization phase
Data & labeling experts with clear specifications

By submitting, I agree to the Privacy Protection

Submit

Dataset FAQs

What can Nexdata’s LLM datasets be used for?

Nexdata’s LLM datasets can support a wide range of large language model development tasks, including pre-training, supervised fine-tuning, instruction tuning, preference optimization, evaluation, and domain-specific model development. Depending on the dataset, data may include text, instruction-response pairs, conversations, question-answer pairs, reasoning data, and other structured or annotated content.

Can Nexdata customize LLM datasets based on our specific model and requirements?

Yes. If our off-the-shelf LLM datasets do not fully match your requirements, Nexdata provides flexible custom data collection, generation, annotation, curation, and quality control services. We can customize datasets based on your target languages, domains, use cases, data formats, task types, volume, and quality requirements to support specific LLM training and evaluation projects.

Can Nexdata provide large-scale and high-quality data for LLM development?

Yes. Nexdata can support large-scale LLM data projects across multiple languages, domains, and data types. Our data services include multi-stage quality control, data cleaning, annotation, validation, and curation to help ensure consistency and usability. For projects requiring data beyond our existing datasets, our customized data services can be scaled according to the required volume, specifications, and delivery schedule.

Subscribe to our newsletter

Be the first to receive Nexdata latest product releases, data solutions and enterprise news.

Off-the-Shelf Datasets
All Category Datasets
Embodied AI Datasets
LLM Datasets
Computer Vision Datasets
Speech Recognition Datasets
Speech Synthesis Datasets
OCR Datasets
Pronunciation Dictionary
NLU Datasets
Data Service
3D Point Cloud Data
Street View Data
OCR Data
Behavior Recognition Data
Identity Recognition Data
Speech Recognition Data
Speech Synthesis Data
Multimodal Data
Industries
Embodied AI
Generative AI
Autonomous Vehicles
AR/VR
Conversational AI
Smart Home
Retail
Intelligent Healthcare
Company
About Us
News
Partners
Quality & Security
Event
Links
OPENMPD
DataPlus
Datarade
Platform
Platform
Competition
Competition
Resources
Sponsored Datasets
Nexdata.ai logo Sharpen Your AI with Better Data

+1(626)594-5598

[email protected]

nexdata_ai facebooknexdata_ai twitternexdata_ai linkedinnexdata_ai youtube
Copyright © 2023 NEXDATA TECHNOLOGY INC
Sitemap  Terms and Conditions

We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.

04484c47-8490-4bd7-bd8f-6fe1cd8d917a

f1ed952c-4177-495f-a041-276bfbe8e4a8