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<title>BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning</title>
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<h1>
BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
</h1>
<div><a href="https://huggingface.co/datasets/RobotsMaliAI/bayelemabaga">HuggingFace: Bayelemabaga</a></div>
<h2>Overview</h2>
<p>
The Bayelemabaga dataset is a collection of 46976 aligned machine
translation ready Bambara-French lines, originating from
<a href="http://cormande.huma-num.fr/corbama/run.cgi/first_form"
>Corpus Bambara de Reference</a
> by INALCO's LLACAN Lab. The dataset is constitued of text extracted from
<strong>231</strong> text files, varing from periodicals, books,
short stories, blog posts, part of the Bible and the Quran.
</p>
<h2>Snapshot: 44160</h2>
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<td align="left"><strong>Lines</strong></td>
<td align="right"><strong>44976</strong></td>
</tr>
<tr>
<td align="left">French Tokens</td>
<td align="right">--</td>
</tr>
<tr>
<td align="left">Bambara Tokens</td>
<td align="right">--</td>
</tr>
<tr>
<td align="left">French Types</td>
<td align="right">--</td>
</tr>
<tr>
<td align="left">Bambara Types</td>
<td align="right">---</td>
</tr>
<tr>
<td align="left">Avg. Fr line length</td>
<td align="right">---</td>
</tr>
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<td align="left">Avg. Bam line length</td>
<td align="right">---</td>
</tr>
<tr>
<td align="left">Number of text sources</td>
<td align="right">---</td>
</tr>
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<h2>Data Splits</h2>
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<td align="center">Train</td>
<td align="center">80%</td>
<td align="right">37580</td>
</tr>
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<td align="center">Valid</td>
<td align="center">10%</td>
<td align="right">4698</td>
</tr>
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<td align="center">Test</td>
<td align="center">10%</td>
<td align="right">4698</td>
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<h2>Remarks</h2>
<ul>
<li>
We are working on resolving some last minute misalignment issues
encountered.
</li>
</ul>
<h3>Maintenance</h3>
<ul>
<li>This dataset is supposed to be actively maintained.</li>
</ul>
<h3>Benchmarks:</h3>
<ul>
<li>
<code>Coming soon</code>
</li>
</ul>
<h3>To note:</h3>
<ul>
<li>
ʃ => (sh) sound: Symbol left in the dataset, although not a
part of bambara orthography nor French orthography.
</li>
</ul>
<h2>License</h2>
<h2>Version</h2>
<ul>
<li>
<code>1.0.1</code>
</li>
</ul>
<h2>Citation</h2>
<code>
@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}
}
</code>
<button onclick="download_triggered()">Download</button>
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<div>
For any questions, contact <code>sdiarra@robotsmali.org</code>
</div>
<br />
<div>This dataset is distributed under the CC-BY-SA-4.0 LICENSE</div>
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