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README.md

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-license: cc-by-sa-4.0
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+license: cc-by-sa-4.0
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+NgoremeNMT is a parallel dataset composed of 8,000 sentences in Swahili and Ngoreme. It is intended to be used for fine-tuning Neural Machine Translation models and Large Language Models for Ngoreme.
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+Ngoreme is a low-resource Bantu language spoken in Tanzania.
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+This dataset was created and curated using a proprietary method developed by XRI Global which ensures coverage of a conceptual space when doing data collection. This method was developed in order to create the fastest and most affordable way to collect pristine in-domain data for low-resource languages optimized for fine-tuning language models.
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+The contributors gave proper consent, were hired by a local agency, and were compensated fairly.
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+For data collection, we utilized our mobile data collection app, Echonet, and our custom translation management system.
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+The domain is somewhat generalized and the dataset is most effective at literary and narrative texts. It is less capable in other domains such as technical, scientific, or colloquial.
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+If you are interested in creating ideal datasets for new languages, reach out to us at [email protected]