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  1. README.md +18 -46
  2. index.html +33 -20
README.md CHANGED
@@ -1,58 +1,26 @@
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- ---
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- annotations_creators:
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- - expert-generated
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- language:
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- - bam
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- - fr
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- language_creators:
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- - expert-generated
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- - found
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- - crowdsourced
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- license:
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- - cc-by-sa-4.0
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- multilinguality:
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- - translation
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- pretty_name: "BAY\u0190L\u0190MABAGA: Parallel French - Bambara Dataset for Machine\
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- \ Learning"
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- size_categories:
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- - 10K<n<100K
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- source_datasets: []
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- tags:
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- - bambara
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- - french
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- - periodicals
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- task_categories:
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- - translation
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- - text-generation
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- task_ids:
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- - language-modeling
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-
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- viewer: true
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- ---
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-
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  # BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
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  ## Overview
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- The Bayelemabaga dataset is a collection of 44160 aligned machine translation ready Bambara-French lines, originating from [Corpus Bambara de Reference](http://cormande.huma-num.fr/corbama/run.cgi/first_form). The dataset is constitued of text extracted from **231** text sources, varing from periodicals, books, short stories, blog posts, part of the Bible and the Quran.
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- ## Snapshot: 44160
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  | | |
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  |:---|---:|
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- | **Lines** | **44160** |
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- | French Tokens | 665425 |
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- | Bambara Tokens | 645414 |
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- | French Types | 28312 |
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- | Bambara Types | 27532 |
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- | Avg. Fr line length | 79 |
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- | Avg. Bam line length | 66 |
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- | Number of text sources | 231 |
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  ## Data Splits
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  | | | |
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  |:-----:|:---:|------:|
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- | Train | 80% | 35328 |
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- | Valid | 10% | 4416 |
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- | Test | 10% | 4416 |
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  ||
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  ## Remarks
@@ -76,9 +44,10 @@ The Bayelemabaga dataset is a collection of 44160 aligned machine translation re
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  ## Version
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- - `1.0.0`
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  ## Citation
 
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  ```
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  @misc{bayelemabagamldataset2022
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  title={Machine Learning Dataset Development for Manding Languages},
@@ -97,3 +66,6 @@ The Bayelemabaga dataset is a collection of 44160 aligned machine translation re
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  year={2022}
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  }
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
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  ## Overview
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+ The Bayelemabaga dataset is a collection of 44562 aligned machine translation ready Bambara-French lines, originating from [Corpus Bambara de Reference](http://cormande.huma-num.fr/corbama/run.cgi/first_form). 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.
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+ ## Snapshot: 46976
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  | | |
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  |:---|---:|
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+ | **Lines** | **46976** |
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+ | French Tokens | --- |
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+ | Bambara Tokens | --- |
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+ | French Types | --- |
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+ | Bambara Types | --- |
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+ | Avg. Fr line length | -- |
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+ | Avg. Bam line length | -- |
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+ | Number of text sources | 264 |
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  ## Data Splits
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  | | | |
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  |:-----:|:---:|------:|
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+ | Train | 80% | 37580 |
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+ | Valid | 10% | 4698 |
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+ | Test | 10% | 4698 |
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  ||
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  ## Remarks
 
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  ## Version
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+ - `1.0.1`
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  ## Citation
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+
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  ```
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  @misc{bayelemabagamldataset2022
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  title={Machine Learning Dataset Development for Manding Languages},
 
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  year={2022}
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  }
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  ```
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+
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+ ## Contacts
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+ - `sdiarra <at> robotsmali.org`
index.html CHANGED
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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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  <h2>Overview</h2>
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  <p>
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- The Bayelemabaga dataset is a collection of 44160 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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  <tbody>
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  <tr>
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  <td align="left"><strong>Lines</strong></td>
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- <td align="right"><strong>44160</strong></td>
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  </tr>
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  <tr>
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  <td align="left">French Tokens</td>
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- <td align="right">665425</td>
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  </tr>
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  <tr>
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  <td align="left">Bambara Tokens</td>
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- <td align="right">645414</td>
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  </tr>
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  <tr>
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  <td align="left">French Types</td>
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- <td align="right">28312</td>
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  </tr>
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  <tr>
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  <td align="left">Bambara Types</td>
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- <td align="right">27532</td>
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  </tr>
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  <tr>
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  <td align="left">Avg. Fr line length</td>
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- <td align="right">79</td>
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  </tr>
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  <tr>
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  <td align="left">Avg. Bam line length</td>
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- <td align="right">66</td>
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  </tr>
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  <tr>
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  <td align="left">Number of text sources</td>
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- <td align="right">231</td>
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  </tr>
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  </tbody>
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  </table>
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  <tr>
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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">35328</td>
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  </tr>
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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">4416</td>
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  </tr>
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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">4416</td>
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  </tr>
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  <tr>
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  <td align="center"></td>
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  <h2>Version</h2>
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  <ul>
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  <li>
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- <code>1.0.0</code>
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  </li>
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  </ul>
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  <h2>Citation</h2>
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- <h2>Contacts</h2>
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- <ul>
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- <li>Christopher Homan (PI)</li>
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- <li>Michael Leventhal (PI)</li>
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- <li>Valentin Vydrin (PI)</li>
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- </ul>
 
 
 
 
 
 
 
 
 
 
 
 
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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>mleventhal@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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  <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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  <tbody>
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  <tr>
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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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  <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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  <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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  <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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  <tr>
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  <td align="left">Bambara Types</td>
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+ <td align="right">---</td>
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  </tr>
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  <tr>
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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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  <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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  <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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  <tr>
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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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  <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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  <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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  <h2>Version</h2>
137
  <ul>
138
  <li>
139
+ <code>1.0.1</code>
140
  </li>
141
  </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>