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
We are working on resolving some last minute misalignment issues
encountered.
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
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}
}
For any questions, contact sdiarra@robotsmali.org
This dataset is distributed under the CC-BY-SA-4.0 LICENSE