Text / Consumer & Lifestyle
Low-Resource Language Parallel Translation Corpus Text Dataset
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
Low-Resource Language Parallel Translation Corpus Text Dataset is a text dataset. It covers 10 languages, including Korean, English, Hindi, Indonesian, Khmer and 5 more. Typical applications include LLM pre-training and machine translation. Relevant sectors: Consumer & Lifestyle. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Covers 10 languages.
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.
Technical specifications
- Modalities
- Text
- File formats
- Not specified by the provider
- Volume
- Not specified by the provider
- Languages
- Korean, English, Hindi, Indonesian, Khmer, Russian, Thai, Uzbek, Vietnamese, Tagalog
Related datasets
More in Text & Language →TextAdvertised
Multilingual Food and Menu Parallel Translation Corpus
A multilingual food and menu parallel translation corpus built by translating menu names extracted from sources such as AI Hub, the Korea Tourism Organization, and…
- Language
- Korean, Chinese +2
- Volume
- —
- Domain
- Consumer & Lifestyle
- Use case
- LLM pre-training
Price on request
Text
More text & language datasets
All 776 text & language datasets →- Machine Learning (ML) Data | 800M+ People & Companies B2B Profiles | AI-Ready for Deep Learning (DL), NLP & LLM Training
- Malay Email Communication Dataset
- Malay In-Car Driver Commands Text Dataset
- Malay Notes Communication Dataset
- Malay SMS Communication Dataset
- Malayalam Speech-to-Text Transcribed Audio Dataset
- Malaysian English Speech Data by Mobile Phone | 198 Hours
- Malaysian Spontaneous Dialogue Audio Corpus | 10,000+ Hours, Multi-Speaker, Full Transcription | AI Training, Speech Recognition | Podcast Audio Data
- Manufacturing Prompts And Response in English Text Dataset
- Math Domain Experts Prompts & Responses