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This dataset contains 500K image-based Korean math problem-solving samples. It covers multiple education levels and a wide range of mathematical problem types. All answers are transcribed with formulas and tables converted to LaTeX format. The dataset is suitable for multimodal mathematical reasoning, math problem solving, automated grading, AI tutoring.We strictly adhere to data protection regulations and privacy standards throughout the data lifecycle (collection, storage, and usage) to safeguard user rights. All data complies with GDPR, CCPA, and PIPL.
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
Specifications
Data size
500K questions
Image resolution
≥150,000 total pixels per image
Grade
middle and high school
Subject
mathematics
Question types
multiple-choice, fill-in-the-blank, short answer, and comprehensive solutions
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.
Specifications
Sample
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