Kencorpus: Kenyan Languages Corpus
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This project collected text and speech corpora for Languages in Kenya. In KenCorpus project, three languages were strategically selected i.e. Kiswahili, Luhya, and Dholuo. The Luhya Language has several dialects. In the project, 3 dialects were chosen as a start: Lumarachi, Logooli and Lubukusi. Primary data was collected from the respective language communities, which also included indiginous stories and other narratives from student compositions, native language media stations, and publishers. This went beyond the conventional religious texts to include other genres of texts that made the corpus more representative of everyday language use in the communities. Text data : A total of 4442 texts were collected: 546 texts for Dholuo, 483 texts for Luhya-Lumarachi, 135 texts for Luhya-Lubukusu and 359 texts for Luhya-Logooli. Spontaneous S' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["African languages","Dataset curation","Datasets","low resource languages"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This project collected text and speech corpora for Languages in Kenya. In KenCorpus project, three languages were strategically selected i.e. Kiswahili, Luhya, and Dholuo. The Luhya Language has several dialects. In the project, 3 dialects were chosen as a start: Lumarachi, Logooli and Lubukusi. Primary data was collected from the respective language communities, which also included indiginous stories and other narratives from student compositions, native language media stations, and publishers. This went beyond the conventional religious texts to include other genres of texts that made the corpus more representative of everyday language use in the communities. Text data : A total of 4442 texts were collected: 546 texts for Dholuo, 483 texts for Luhya-Lumarachi, 135 texts for Luhya-Lubukusu and 359 texts for Luhya-Logooli. Spontaneous S' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This project collected text and speech corpora for Languages in Kenya. In KenCorpus project, three languages were strategically selected i.e. Kiswahili, Luhya, and Dholuo. The Luhya Language has several dialects. In the project, 3 dialects were chosen as a start: Lumarachi, Logooli and Lubukusi. Primary data was collected from the respective language communities, which also included indiginous stories and other narratives from student compositions, native language media stations, and publishers. This went beyond the conventional religious texts to include other genres of texts that made the corpus more representative of everyday language use in the communities. Text data : A total of 4442 texts were collected: 546 texts for Dholuo, 483 texts for Luhya-Lumarachi, 135 texts for Luhya-Lubukusu and 359 texts for Luhya-Logooli. Spontaneous S
African languages; Dataset curation; Datasets; low resource languages