BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning

HuggingFace: Bayelemabaga

Overview

The Bayelemabaga dataset is a collection of 46976 aligned machine translation ready Bambara-French lines, originating from Corpus Bambara de Reference by INALCO's LLACAN Lab. 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 44976
French Tokens --
Bambara Tokens --
French Types --
Bambara Types ---
Avg. Fr line length ---
Avg. Bam line length ---
Number of text sources ---

Data Splits

Train 80% 37580
Valid 10% 4698
Test 10% 4698

Remarks

Maintenance

Benchmarks:

To note:

License

Version

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} }
For any questions, contact sdiarra@robotsmali.org

This dataset is distributed under the CC-BY-SA-4.0 LICENSE