English-Indonesian Parallel Speech Dataset
A parallel speech dataset consisting of sentence-level aligned English and Indonesian utterances, designed for training Speech-to-Speech translation models.
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A parallel speech dataset consisting of sentence-level aligned English and Indonesian utterances, designed for training Speech-to-Speech translation models.
A speech dataset containing natural two-party dialogues in Japanese. It captures everyday conversational flow, intonation, and turn-taking timing, suitable for training general-purpose speech recognition and dialogue models.
A parallel speech dataset consisting of sentence-level aligned English and Korean utterances, designed for training Speech-to-Speech translation models.
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A high-difficulty text dataset built from doctoral-level exam questions and solutions to support LLM training for expert reasoning and problem solving.
A multi-turn benchmark dataset built by benchmarking BFCL to evaluate agent action performance across finance, legal, medical, manufacturing, and defense domains.
A multi-turn conversational dataset designed to evaluate model response capabilities against major safety risk categories and attack patterns.
A video dataset collected for training Physical AI models in manufacturing environments. Includes human-object manipulation footage along with structured annotations such as trajectory and mesh data.