LLM Datasets

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 dataset contains 50,423 Japanese chart data sets.The data covers three major chart formats: single-chart layouts, multi-chart layouts, and document-style charts.Each data set contains a structured chart description and two question-answer pair. The dataset is suitable for Japanese chart understanding, chart question answering (Chart QA), visual question answering (VQA),and vision-language model training.

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.

This dataset is collected from the Japanese OKWAVE Q&A platform and includes large-scale parsed and processed text data suitable for LLM training and Japanese natural language understanding. It contains structured fields such as questions, answers, categories, timestamps, user metadata, and supplementary explanations. As of April 2025, the dataset includes 8.4 million questions with 2.3 billion words, 27 million answers totaling 7.6 billion words, 15.5 million thank-you messages (1.7 billion words), and 2.1 million supplementary replies (360 million words). Continuously updated and rich in user-generated content, this dataset is ideal for building Japanese conversational AI, ChatGPT fine-tuning, question answering systems, text summarization, and semantic parsing models. All data complies with relevant data usage and privacy regulations.