Datasets:

RobotsMaliAI
/

bayelemabaga

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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>
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	<td align="left">French Tokens</td>
	<td align="right">--</td>
	</tr>
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	<td align="left">Bambara Tokens</td>
	<td align="right">--</td>
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	<td align="left">French Types</td>
	<td align="right">--</td>
	</tr>
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	<td align="left">Bambara Types</td>
	<td align="right">---</td>
	</tr>
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	<td align="left">Avg. Fr line length</td>
	<td align="right">---</td>
	</tr>
	<tr>
	<td align="left">Avg. Bam line length</td>
	<td align="right">---</td>
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	<td align="left">Number of text sources</td>
	<td align="right">---</td>
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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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	<td align="center"></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>

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	<div>
	For any questions, contact <code>sdiarra@robotsmali.org</code>
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	<br />
	<div>This dataset is distributed under the CC-BY-SA-4.0 LICENSE</div>
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