README.md

---
annotations_creators:
- expert-generated
language:
- bam
- fr
language_creators:
- expert-generated
- found
- crowdsourced
license:
- cc-by-sa-4.0
multilinguality:
- translation
pretty_name: "BAY\u0190L\u0190MABAGA: Parallel French - Bambara Dataset for Machine\
 \ Learning"
size_categories:
- 10K<n<100K
source_datasets: []
tags:
- bambara
- french
- periodicals
task_categories:
- translation
- text-generation
task_ids:
- language-modeling

viewer: true
---

# BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning

## Overview
The Bayelemabaga dataset is a collection of 44160 aligned machine translation ready Bambara-French lines, originating from [Corpus Bambara de Reference](http://cormande.huma-num.fr/corbama/run.cgi/first_form). The dataset is constitued of text extracted from **231** text files, varing from periodicals, books, short stories, blog posts, part of the Bible and the Quran. 

## Snapshot: 44160
| | |
|:---|---:|
| **Lines** | **44160** |
| French Tokens | 665425 |
| Bambara Tokens | 645414 |
| French Types | 28312 |
| Bambara Types | 27532 |
| Avg. Fr line length | 79 |
| Avg. Bam line length | 66 |
| Number of text sources | 231 |

## Data Splits
| | | |
|:-----:|:---:|------:|
| Train | 80% | 35328 |
| Valid | 10% | 4416 |
| Test | 10% | 4416 |
||

## Remarks

* We are working on resolving some last minute misalignment issues.

### Maintenance

* This dataset is supposed to be actively maintained.

### Benchmarks:

- `Coming soon`

### To note: 
- ʃ => (sh) sound: Symbol left in the dataset, although not a part of bambara orthography nor French orthography.

## License

- `CC-BY-SA-4.0`

## Version

- `1.0.0`

## Citation
```
@misc{bayelemaba2022
 title={Machine Learning Dataset Development for Manding Languages},
 author={
 Valentin Vydrin and
 Christopher Homan and
 Michael Leventhal and
 Allashera Auguste Tapo and
 Marco Z... and
 INALCO Members

 },
 howpublished = {url{https://github.com/robotsmali-ai/datasets}},
 year={2022}
}
```