metadata

annotations_creators:
  - expert-generated
language:
  - bam
  - fr
language_creators:
  - expert-generated
  - found
  - crowdsourced
license:
  - cc-by-sa-4.0
multilinguality:
  - translation
pretty_name: 'BAYƐLƐMABAGA: 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. 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}
}