Multilingual General-Domain QA Text Dataset
A multilingual general-domain QA text dataset covering topics such as politics, finance, and society, reviewed and refined by professional annotators.
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A multilingual general-domain QA text dataset covering topics such as politics, finance, and society, reviewed and refined by professional annotators.
A multilingual QA benchmark dataset built for evaluating rapidly changing knowledge and factual accuracy across general domains, curated by professional annotators.
A multilingual public administration QA dataset built from tables and contextual sentences in press releases from government agencies such as the Ministry of the Interior and Safety and the Ministry of Health and Welfare, covering both open QA and closed QA.
A multilingual legal preference evaluation dataset built from legal-domain questions and three AI-generated answers, with law majors and legal professionals providing scoring, feedback, and rewritten responses.
A multilingual STEM preference evaluation dataset built from STEM-domain questions and three AI-generated answers, with STEM majors providing scoring, feedback, and rewritten responses.
A multilingual instruction-following QA text dataset built for tasks that require generating answers based on referenced documents.
A multilingual AI model evaluation dataset built by having expert reviewers re-evaluate and verify automatically scored response quality according to defined evaluation criteria.
A multilingual general-domain preference evaluation dataset built from questions in areas such as politics, finance, and society and three AI-generated answers, with professional annotators providing scoring, feedback, and rewritten responses.
A single-turn Malaysian English (Manglish) speech dataset designed to enhance multilingual interpretation and translation solutions.
A single-turn Malaysian English speech dataset designed to improve multilingual interpretation and translation in IT and software domains.