Sàn giao dịch Dữ liệu Flitto cung cấp các bộ dữ liệu dành cho việc đào tạo và đánh giá AI, đã được cấp phép và kiểm chứng, bao gồm văn bản, giọng nói, hình ảnh, video trải rộng trên hơn 100 ngôn ngữ và hơn 23 lĩnh vực chuyên biệt. Hãy kiểm tra mẫu miễn phí, và vui lòng liên hệ với chúng tôi để mua hàng.
A Korean hospitality and tourism domain question collection dataset built for LLM training, with domain-specific questions directly collected and curated by professional annotators.
A Korean IT and software domain question collection dataset built for LLM training, with domain-specific questions directly collected and curated by relevant specialists.
A Korean manufacturing domain question collection dataset built for LLM training, with domain-specific questions directly collected and curated by manufacturing industry professionals.
A Korean media and entertainment domain question collection dataset built for LLM training, with domain-specific questions directly collected and curated by professional annotators.
A Korean energy and utilities domain question collection dataset built for LLM training, with domain-specific questions directly collected and curated by industry professionals.
A Korean retail and distribution domain question collection dataset built for LLM training, with domain-specific questions directly collected and curated by professional annotators.
A Korean telecommunications domain question collection dataset built for LLM training, with domain-specific questions directly collected and curated by professional annotators.
A Korean QA text dataset built from Korean news articles, with related FAQs generated and curated by professional annotators.
A legal document text dataset built by OCR-processing, hierarchically structuring, and translating EU privacy-related legal documents such as the GDPR and AI Act into Korean and English.
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.