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OpenWHO

Domain:

natural language processinghealthcare

Record type:

dataset
Creator:
rap
Host:
OpenWHO is a document-level parallel corpus designed for MT evaluation in the health domain, with a special focus on low-resource languages. Sourced from the World Health Organization's (WHO) multilingual e-learning platform, OpenWHO.org, the dataset contains expert-authored, professionally translated educational materials for health workers.

Visit

huggingface.co

Tasks

machine translation

Languages

AmharicHausaLingalaPidgin, NigerianSomaliSwahiliYoruba

Tags

translationhealthmultilinguallow-resourcedocument-levelparallel-corpus

Licenses

cc-by-nc-4.0

Similar

raphaelmerx/openwho-codeOpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages

raphaelmerx/openwho-code

OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages # OpenWH

OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages

In machine translation (MT), health is a high-stakes domain characterised by widespread deployment a