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A high-quality multi-discipline Korean text corpus built from refined domestic published books across various fields, including humanities, social sciences, natural sciences, and practical topics.
A multi-turn trajectory dataset that captures the full process of Korean-speaking users and AI agents working together to complete tasks. Each step is recorded, including the agent's reasoning, tool calls, and execution results.
A video dataset of various everyday activities that can occur in household environments using various objects for Physical AI model training.
A video dataset of various actions that can occur in indoor workspaces using various objects for Physical AI model training.
A video dataset of Whole-body Interaction actions using various objects in everyday environments for Physical AI model training.
A video dataset of Open-Close actions using various objects in everyday environments for Physical AI model training.
An English text reasoning dataset of Chinese college entrance exam biology questions covering ecology, genetic engineering, genetics, and more, with each question paired with its key concepts, answer, and step-by-step explanation.
An English text reasoning dataset of Chinese college entrance exam questions in math, physics, and chemistry, with each question paired with its key concepts, answer, and step-by-step solution.
An inbound call speech-text pair dataset collected across multiple domains (e.g., e-commerce, IT, finance) from actual telephony environments of North American customer service centers.
A CoT dataset designed to train contextual understanding and logical step-by-step reasoning based on game press releases, reporting, and interview articles.