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<title>BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning</title> |
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<h1> |
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BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning |
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</h1> |
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<div><a href="https://huggingface.co/datasets/RobotsMaliAI/bayelemabaga">HuggingFace: Bayelemabaga</a></div> |
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<h2>Overview</h2> |
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<p> |
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The Bayelemabaga dataset is a collection of 46976 aligned machine |
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translation ready Bambara-French lines, originating from |
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<a href="http://cormande.huma-num.fr/corbama/run.cgi/first_form" |
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>Corpus Bambara de Reference</a |
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> by INALCO's LLACAN Lab. The dataset is constitued of text extracted from |
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<strong>231</strong> text files, varing from periodicals, books, |
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short stories, blog posts, part of the Bible and the Quran. |
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</p> |
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<h2>Snapshot: 44160</h2> |
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<th align="left"></th> |
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<th align="right"></th> |
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<td align="left"><strong>Lines</strong></td> |
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<td align="right"><strong>44976</strong></td> |
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</tr> |
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<td align="left">French Tokens</td> |
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<td align="right">--</td> |
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</tr> |
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<td align="left">Bambara Tokens</td> |
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<td align="right">--</td> |
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</tr> |
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<td align="left">French Types</td> |
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<td align="right">--</td> |
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</tr> |
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<td align="left">Bambara Types</td> |
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<td align="right">---</td> |
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<td align="left">Avg. Fr line length</td> |
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<td align="right">---</td> |
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</tr> |
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<td align="left">Avg. Bam line length</td> |
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<td align="right">---</td> |
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</tr> |
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<td align="left">Number of text sources</td> |
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<td align="right">---</td> |
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</tr> |
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</tbody> |
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</table> |
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<h2>Data Splits</h2> |
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<td align="center">Train</td> |
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<td align="center">80%</td> |
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<td align="right">37580</td> |
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</tr> |
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<td align="center">Valid</td> |
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<td align="center">10%</td> |
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<td align="right">4698</td> |
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</tr> |
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<td align="center">Test</td> |
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<td align="center">10%</td> |
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<td align="right">4698</td> |
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</tr> |
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<tr> |
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<td align="center"></td> |
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<td align="center"></td> |
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<td align="right"></td> |
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</tbody> |
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</table> |
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<h2>Remarks</h2> |
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<ul> |
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<li> |
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We are working on resolving some last minute misalignment issues |
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encountered. |
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</li> |
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</ul> |
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<h3>Maintenance</h3> |
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<ul> |
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<li>This dataset is supposed to be actively maintained.</li> |
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</ul> |
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<h3>Benchmarks:</h3> |
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<ul> |
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<li> |
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<code>Coming soon</code> |
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</li> |
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</ul> |
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<h3>To note:</h3> |
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<ul> |
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<li> |
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ʃ => (sh) sound: Symbol left in the dataset, although not a |
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part of bambara orthography nor French orthography. |
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</li> |
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</ul> |
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<h2>License</h2> |
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<h2>Version</h2> |
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<ul> |
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<li> |
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<code>1.0.1</code> |
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</li> |
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</ul> |
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<h2>Citation</h2> |
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<code> |
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@misc{bayelemabagamldataset2022 |
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title={Machine Learning Dataset Development for Manding Languages}, |
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author={ |
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Valentin Vydrin and |
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Christopher Homan and |
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Michael Leventhal and |
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Allashera Auguste Tapo and |
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Marco Zampieri and |
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Jean-Jacques Meric and |
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Kirill Maslinsky and |
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Andrij Rovenchak and |
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Sebastien Diarra |
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}, |
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howpublished = {url{https://github.com/robotsmali-ai/datasets}}, |
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year={2022} |
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} |
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</code> |
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<button onclick="download_triggered()">Download</button> |
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<div id="code_sent"></div> |
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<div> |
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For any questions, contact <code>sdiarra@robotsmali.org</code> |
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</div> |
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<br /> |
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<div>This dataset is distributed under the CC-BY-SA-4.0 LICENSE</div> |
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</body> |
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<script src="./index.js"></script> |
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