|
--- |
|
license: cc-by-sa-4.0 |
|
task_categories: |
|
- question-answering |
|
language: |
|
- bem |
|
- fon |
|
- ha |
|
- ig |
|
- kin |
|
- sw |
|
- wo |
|
- yo |
|
- zu |
|
- tw |
|
pretty_name: AfriQA |
|
size_categories: |
|
- 10K<n<100K |
|
multilinguality: |
|
- multilingual |
|
tags: |
|
- cross-lingual |
|
- question-answering |
|
- qa |
|
--- |
|
|
|
# Dataset Card for AfriQA |
|
|
|
## Table of Contents |
|
- [Table of Contents](#table-of-contents) |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** [homepage](https://github.com/masakhane-io/afriqa) |
|
- **Repository:** [github](https://github.com/masakhane-io/afriqa) |
|
- **Paper:** [paper]() |
|
- **Point of Contact:** [Masakhane](https://www.masakhane.io/) or oogundep@uwaterloo.ca |
|
|
|
### Dataset Summary |
|
|
|
AfriQA is the first cross-lingual question answering (QA) dataset with a focus on African languages. The dataset includes over 12,000 XOR QA examples across 10 African languages, making it an invaluable resource for developing more equitable QA technology. |
|
|
|
The train/validation/test sets are available for all the 10 languages. |
|
|
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
- `question-answering`: The performance in this task is measured with [F1](https://huggingface.co/metrics/f1) (higher is better) and [Exact Match Accuracy](https://huggingface.co/spaces/evaluate-metric/exact_match). |
|
|
|
### Languages |
|
|
|
There are 20 languages available : |
|
- Bemba (bem) |
|
- Fon (fon) |
|
- Hausa (hau) |
|
- Igbo (ibo) |
|
- Kinyarwanda (kin) |
|
- Swahili (swą) |
|
- Twi (twi) |
|
- Wolof (wol) |
|
- Yorùbá (yor) |
|
- Zulu (zul) |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
- Data Format: |
|
- id : Question ID |
|
- question : Question in African Language |
|
- translated_question : Question translated into a pivot language (English/French) |
|
- answers : Answer in African Language |
|
- lang : Datapoint Language (African Language) e.g `bem` |
|
- split : Dataset Split |
|
- translated_answer : Answer in Pivot Language |
|
- translation_type : Translation type of question and answers |
|
|
|
|
|
```bash |
|
{ "id": 0, |
|
"question": "Bushe icaalo ca Egypt caali tekwapo ne caalo cimbi?", |
|
"translated_question": "Has the country of Egypt been colonized before?", |
|
"answers": "['Emukwai']", |
|
"lang": "bem", |
|
"split": "dev", |
|
"translated_answer": "['yes']", |
|
"translation_type": "human_translation" |
|
} |
|
``` |
|
|
|
### Data Splits |
|
|
|
For all languages, there are three splits. |
|
|
|
The original splits were named `train`, `dev` and `test` and they correspond to the `train`, `validation` and `test` splits. |
|
|
|
The splits have the following sizes : |
|
|
|
| Language | train | dev | test | |
|
|-----------------|------:|-----------:|-----:| |
|
| Bemba | 502 | 503 | 314 | |
|
| Fon | 427 | 428 | 386 | |
|
| Hausa | 435 | 436 | 300 | |
|
| Igbo | 417 | 418 | 409 | |
|
| Kinyarwanda | 407 | 409 | 347 | |
|
| Swahili | 415 | 417 | 302 | |
|
| Twi | 451 | 452 | 490 | |
|
| Wolof | 503 | 504 | 334 | |
|
| Yoruba | 360 | 361 | 332 | |
|
| Zulu | 387 | 388 | 325 | |
|
| <b>Total</b> | <b>4333</b> | <b>4346</b> |<b>3560</b> | |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
The dataset was introduced to introduce question-answering resources to 10 languages that were under-served for natural language processing. |
|
|
|
[More Information Needed] |
|
|
|
### Source Data |
|
|
|
... |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
... |
|
|
|
#### Who are the source language producers? |
|
|
|
... |
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
Details can be found here ... |
|
|
|
#### Who are the annotators? |
|
|
|
Annotators were recruited from [Masakhane](https://www.masakhane.io/) |
|
|
|
### Personal and Sensitive Information |
|
|
|
... |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
[More Information Needed] |
|
|
|
|
|
### Discussion of Biases |
|
[More Information Needed] |
|
|
|
|
|
### Other Known Limitations |
|
|
|
Users should keep in mind that the dataset only contains news text, which might limit the applicability of the developed systems to other domains. |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
|
|
### Licensing Information |
|
|
|
The licensing status of the data is CC 4.0 Non-Commercial |
|
|
|
### Citation Information |
|
|
|
Provide the [BibTex](http://www.bibtex.org/)-formatted reference for the dataset. For example: |
|
|
|
``` |
|
Incoming ... |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@ToluClassics](https://github.com/ToluClassics) for adding this dataset. |
