Text revision + New sources

README.md

@@ -1,58 +1,26 @@
----
-annotations_creators:
-- expert-generated
-language:
-- bam
-- fr
-language_creators:
-- expert-generated
-- found
-- crowdsourced
-license:
-- cc-by-sa-4.0
-multilinguality:
-- translation
-pretty_name: "BAY\u0190L\u0190MABAGA: Parallel French - Bambara Dataset for Machine\
-  \ Learning"
-size_categories:
-- 10K<n<100K
-source_datasets: []
-tags:
-- bambara
-- french
-- periodicals
-task_categories:
-- translation
-- text-generation
-task_ids:
-- language-modeling
-
-viewer: true
----
-
 # BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
 
 ## Overview
-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.  
+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.  
 
-## Snapshot: 44160
+## Snapshot: 46976
 |    |    |
 |:---|---:|
-| **Lines** | **44160** |
-| French Tokens | 665425 |
-| Bambara Tokens | 645414 |
-| French Types | 28312 |
-| Bambara Types | 27532 |
-| Avg. Fr line length | 79 |
-| Avg. Bam line length | 66 |
-| Number of text sources | 231 |
+| **Lines** | **46976** |
+| French Tokens | --- |
+| Bambara Tokens | --- |
+| French Types | --- |
+| Bambara Types | --- |
+| Avg. Fr line length | -- |
+| Avg. Bam line length | -- |
+| Number of text sources | 264 |
 
 ## Data Splits
 |       |     |       |
 |:-----:|:---:|------:|
-| Train | 80% | 35328 |
-| Valid | 10% | 4416  |
-| Test  | 10% | 4416  |
+| Train | 80% | 37580 |
+| Valid | 10% | 4698  |
+| Test  | 10% | 4698  |
 ||
 
 ## Remarks
@@ -76,9 +44,10 @@ The Bayelemabaga dataset is a collection of 44160 aligned machine translation re
 
 ## Version
 
-- `1.0.0`
+- `1.0.1`
 
 ## Citation
+
 ```
 @misc{bayelemabagamldataset2022
     title={Machine Learning Dataset Development for Manding Languages},
@@ -97,3 +66,6 @@ The Bayelemabaga dataset is a collection of 44160 aligned machine translation re
     year={2022}
 }
 ```
+
+## Contacts
+- `sdiarra <at> robotsmali.org`

index.html

@@ -22,9 +22,10 @@
         <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 44160 aligned machine
+            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
@@ -43,35 +44,35 @@
             <tbody>
                 <tr>
                     <td align="left"><strong>Lines</strong></td>
-                    <td align="right"><strong>44160</strong></td>
+                    <td align="right"><strong>44976</strong></td>
                 </tr>
                 <tr>
                     <td align="left">French Tokens</td>
-                    <td align="right">665425</td>
+                    <td align="right">--</td>
                 </tr>
                 <tr>
                     <td align="left">Bambara Tokens</td>
-                    <td align="right">645414</td>
+                    <td align="right">--</td>
                 </tr>
                 <tr>
                     <td align="left">French Types</td>
-                    <td align="right">28312</td>
+                    <td align="right">--</td>
                 </tr>
                 <tr>
                     <td align="left">Bambara Types</td>
-                    <td align="right">27532</td>
+                    <td align="right">---</td>
                 </tr>
                 <tr>
                     <td align="left">Avg. Fr line length</td>
-                    <td align="right">79</td>
+                    <td align="right">---</td>
                 </tr>
                 <tr>
                     <td align="left">Avg. Bam line length</td>
-                    <td align="right">66</td>
+                    <td align="right">---</td>
                 </tr>
                 <tr>
                     <td align="left">Number of text sources</td>
-                    <td align="right">231</td>
+                    <td align="right">---</td>
                 </tr>
             </tbody>
         </table>
@@ -88,17 +89,17 @@
                 <tr>
                     <td align="center">Train</td>
                     <td align="center">80%</td>
-                    <td align="right">35328</td>
+                    <td align="right">37580</td>
                 </tr>
                 <tr>
                     <td align="center">Valid</td>
                     <td align="center">10%</td>
-                    <td align="right">4416</td>
+                    <td align="right">4698</td>
                 </tr>
                 <tr>
                     <td align="center">Test</td>
                     <td align="center">10%</td>
-                    <td align="right">4416</td>
+                    <td align="right">4698</td>
                 </tr>
                 <tr>
                     <td align="center"></td>
@@ -135,21 +136,33 @@
         <h2>Version</h2>
         <ul>
             <li>
-                <code>1.0.0</code>
+                <code>1.0.1</code>
             </li>
         </ul>
         <h2>Citation</h2>
-        <h2>Contacts</h2>
-        <ul>
-            <li>Christopher Homan (PI)</li>
-            <li>Michael Leventhal (PI)</li>
-            <li>Valentin Vydrin (PI)</li>
-        </ul>
+        <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>
         <div id="code_sent"></div>
         <div>
-            For any questions, contact <code>mleventhal@robotsmali.org</code>
+            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>