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---
dataset_info:
features:
- name: Story_ID
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
struct:
- name: text
sequence: string
splits:
- name: train
num_bytes: 20892538
num_examples: 7347
download_size: 2633976
dataset_size: 20892538
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
language:
- sw
pretty_name: KenSwQuAD
---
This is a backup of the KenSwQuAD dataset available at https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OTL0LM
This dataset was NOT made by Lightblue KK., but simply reuploaded for ease of downloading. The original data files require downloading each individual text file, so we re-uploaded it as a dataset.
If you use this dataset, please give it the appropriate credit by citing:
```text
Wanjawa, Barack; Wanzare, Lilian D.A.; Indede, Florence; McOnyango, Owen; Muchemi, Lawrence; Ombui, Edward,
2022,
"KenSwQuAD – A Question Answering Dataset for Swahili Low Resource Language"
https://doi.org/10.7910/DVN/OTL0LM
Harvard Dataverse, V2, UNF:6:ozIF07UtsZNF2B+IVjGluw== [fileUNF]
```
```latex
@data{DVN/OTL0LM_2022,
author = {Wanjawa, Barack and Wanzare, Lilian D.A. and Indede, Florence and McOnyango, Owen and Muchemi, Lawrence and Ombui, Edward},
publisher = {Harvard Dataverse},
title = {{KenSwQuAD – A Question Answering Dataset for Swahili Low Resource Language}},
UNF = {UNF:6:ozIF07UtsZNF2B+IVjGluw==},
year = {2022},
version = {V2},
doi = {10.7910/DVN/OTL0LM},
url = {https://doi.org/10.7910/DVN/OTL0LM}
}
``` |