README.md

---
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}
}
```