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---
task_categories:
- translation
- text-generation
language:
- bm
- fr
size_categories:
- 10K<n<100K
---
# BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
## Overview
The Bayelemabaga dataset is a collection of 46976 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 **264** text files, varing from periodicals, books, short stories, blog posts, part of the Bible and the Quran.
## Snapshot: 46976
| | |
|:---|---:|
| **Lines** | **46976** |
| French Tokens (spacy) | 691312 |
| Bambara Tokens (daba) | 660732 |
| French Types | 32018 |
| Bambara Types | 29382 |
| Avg. Fr line length | 77.6 |
| Avg. Bam line length | 61.69 |
| Number of text sources | 264 |
## Data Splits
| | | |
|:-----:|:---:|------:|
| Train | 80% | 37580 |
| Valid | 10% | 4698 |
| Test | 10% | 4698 |
||
## Remarks
* We are working on resolving some last minute misalignment issues.
### Maintenance
* This dataset is supposed to be actively maintained.
### Benchmarks:
- `Coming soon`
### Sources
- [`sources`](./bayelemabaga/sources.txt)
### To note:
- ʃ => (sh/shy) sound: Symbol left in the dataset, although not a part of bambara orthography nor French orthography.
## License
- `CC-BY-SA-4.0`
## Version
- `1.0.1`
## Citation
```
@misc{bayelemabagamldataset2022
title={Machine Learning Dataset Development for Manding Languages},
author={
Valentin Vydrin and
Jean-Jacques Meric and
Kirill Maslinsky and
Andrij Rovenchak and
Allahsera Auguste Tapo and
Sebastien Diarra and
Christopher Homan and
Marco Zampieri and
Michael Leventhal
},
howpublished = {url{https://github.com/robotsmali-ai/datasets}},
year={2022}
}
```
## Contacts
- `sdiarra <at> robotsmali <dot> org`
- `aat3261 <at> rit <dot> edu` |