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A low-resource language parallel corpus dataset built by translating Korean written and spoken-style source texts into eight low-resource languages, including Vietnamese, Indonesian, Thai, and Hindi.
A high-difficulty text dataset developed to train expert-level reasoning in LLMs based on doctoral examination questions and solutions in Gulf Arabic.
A high-difficulty text dataset developed to train expert-level reasoning in LLMs based on doctoral examination questions and solutions in Egyptian Arabic.
A high-difficulty text dataset developed to train expert-level reasoning in LLMs based on doctoral examination questions and solutions in Bengali.
A high-difficulty text dataset developed to train expert-level reasoning in LLMs based on doctoral examination questions and solutions in Hindi.
A high-difficulty text dataset developed to train expert-level reasoning in LLMs based on doctoral examination questions and solutions in Indonesian.
A high-difficulty text dataset developed to train expert-level reasoning in LLMs based on doctoral examination questions and solutions in Japanese.
A high-difficulty text dataset developed to train expert-level reasoning in LLMs based on doctoral examination questions and solutions in Thai.
A single-turn Korean speech dataset featuring sentences naturally embedded with foreign-language keywords, including English, Japanese, Chinese, Vietnamese, and Indonesian.
A single-turn Malaysian English speech dataset designed to improve multilingual interpretation and translation in enterprise and business domains.