Datasets:
File size: 1,281 Bytes
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dataset_info:
features:
- name: id
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
struct:
- name: answer_start
list: int64
- name: text
list: string
- name: lang
dtype: string
splits:
- name: train
num_bytes: 17768236.09346378
num_examples: 11529
- name: validation
num_bytes: 2220836.864487927
num_examples: 1441
- name: test
num_bytes: 2222378.042048293
num_examples: 1442
download_size: 13871572
dataset_size: 22211451
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: cc-by-4.0
task_categories:
- question-answering
language:
- sw
- en
- luo
- lug
- luy
- kik
- yor
- kln
- kin
- lin
- mas
- hau
- zul
- xho
- twi
- fon
- guz
tags:
- african-languages
- QuAD
- Cross-lingual
size_categories:
- 1K<n<10K
---
# AfriQuAD (Multilingual)
This dataset spans across different African languages and also touches on cross-lingual aspects. It can be best used in Question Answering tasks.
```python
from datasets import load_datasets
#load the entire dataset
dataset = load_dataset("theophilusowiti/AfriQuAD")
``` |