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: 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

Contacts

Christopher Homan (PI)
Michael Leventhal (PI)
Valentin Vydrin (PI)