BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning

Overview

The Bayelemabaga dataset is a collection of 44562 aligned machine translation ready Bambara-French lines, originating from Corpus Bambara de Reference. 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: 46976


Lines	46976
French Tokens	---
Bambara Tokens	---
French Types	---
Bambara Types	---
Avg. Fr line length	--
Avg. Bam line length	--
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

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

1.0.1

Citation

@misc{bayelemabagamldataset2022
    title={Machine Learning Dataset Development for Manding Languages},
    author={
        Valentin Vydrin and
        Christopher Homan and
        Michael Leventhal and
        Allashera Auguste Tapo and
        Marco Zampieri and
        Jean-Jacques Meric and
        Kirill Maslinsky and
        Andrij Rovenchak and
        Sebastien Diarra
    },
    howpublished = {url{https://github.com/robotsmali-ai/datasets}},
    year={2022}
}

Contacts

sdiarra <at> robotsmali.org