Kiswahili Monolingual 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 dataset contains 100,000 Kiswahili sentences.  We want to thank the team at the Makerere AI and Marconi Labs at Makerere University, TAVODET Youth Development (TYD) Innovation Incubator, Ai Kenya, Maseno University, United States International University-Africa (USIU-Africa), and Kabarak University who have worked tirelessly and collaboratively to source, create and prepare this Kiswahili monolingual dataset. This dataset was created with support from Lacuna Fund. For more information on how the dataset was created, please check out our paper published at AfricaNLP' . 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" : ["Monolingual","Natural Language Processing"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset contains 100,000 Kiswahili sentences.  We want to thank the team at the Makerere AI and Marconi Labs at Makerere University, TAVODET Youth Development (TYD) Innovation Incubator, Ai Kenya, Maseno University, United States International University-Africa (USIU-Africa), and Kabarak University who have worked tirelessly and collaboratively to source, create and prepare this Kiswahili monolingual dataset. This dataset was created with support from Lacuna Fund. For more information on how the dataset was created, please check out our paper published at AfricaNLP' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset contains 100,000 Kiswahili sentences.  We want to thank the team at the Makerere AI and Marconi Labs at Makerere University, TAVODET Youth Development (TYD) Innovation Incubator, Ai Kenya, Maseno University, United States International University-Africa (USIU-Africa), and Kabarak University who have worked tirelessly and collaboratively to source, create and prepare this Kiswahili monolingual dataset. This dataset was created with support from Lacuna Fund. For more information on how the dataset was created, please check out our paper published at AfricaNLP
Monolingual; Natural Language Processing