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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.
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.
A raw text dataset broadly collecting press releases, news updates, field reporting, and interview articles from game media.
A CoT dataset designed to train models in logical reasoning and step-by-step thinking based on IT feature, reporting, and review articles.
A raw text dataset collecting feature, interview, field reporting, and product review articles from IT news media.
A SFT dataset consisting of 2023 Howard University Physics Graduate Qualifying Exam questions in classical mechanics, electromagnetism, quantum mechanics, and statistical mechanics, along with solution responses that include step-by-step reasoning.
A SFT dataset consisting of 2018 Howard University Physics Graduate Qualifying Exam questions in classical and modern physics, along with solution responses that include step-by-step reasoning.