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LICENSE

@@ -0,0 +1,395 @@
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README.md

@@ -1,3 +1,56 @@
----
-license: cc-by-sa-4.0
----
+# BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
+
+## Overview
+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
+|    |    |
+|:---|---:|
+| **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 |
+
+## Data Splits
+|       |     |       |
+|:-----:|:---:|------:|
+| Train | 80% | 35328 |
+| Valid | 10% | 4416  |
+| Test  | 10% | 4416  |
+||
+
+## Remarks
+
+* We are working on resolving some last minute misalignment issues.
+
+### Maintenance
+
+* This dataset is supposed to be actively maintained.
+
+### Benchmarks:
+
+- `Coming soon`
+
+### To note: 
+- ʃ => (sh) sound: Symbol left in the dataset, although not a part of bambara orthography nor French orthography.
+
+## License
+
+- `CC-BY-SA-4.0`
+
+## Version
+
+- `1.0.0`
+
+## Citation
+
+
+
+## Contacts
+- Christopher Homan (PI)
+- Michael Leventhal (PI)
+- Valentin Vydrin (PI)

bayelemabaga.py

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+""" RobotsMaliAI: Bayelemaba """
+
+import datasets
+
+_CITATION = """\
+@misc{bayelemaba2022
+    title={Machine Learning Dataset Development for Manding Languages},
+    author={
+        Valentin Vydrin and
+        Christopher Homan and
+        Michael Leventhal and
+        Allashera Auguste Tapo and
+        Marco Z... and
+        INALCO Members
+
+    },
+    howpublished = {url{https://github.com/robotsmali-ai/datasets}},
+    year={2022}
+}
+"""
+
+_DESCRIPTION = """\
+The Bayelemabaga dataset is a collection of 44160 aligned machine translation ready Bambara-French lines, 
+originating from Corpus Bambara de Reference. The dataset is constitued of text extracted from 231 source files, 
+varing from periodicals, books, short stories, blog posts, part of the Bible and the Quran.
+"""
+
+_URL = {
+    "parallel": "https://robotsmali-ai.github.io/datasets/bayelemabaga.tar.gz"
+}
+
+_LanguagePairs = [
+    "bam-fr", "fr-bam"]
+
+class BayelemabagaConfig(datasets.BuilderConfig):
+    """ BuilderConfig for Bayelemabaga """
+
+    def __init__(self, language_pair, **kwargs) -> None:
+        """
+        Args:
+            language_pair: language pair, you want to load
+            **kwargs: -> Super()
+        """
+        super().__init__(**kwargs)
+
+        self.language_pair = language_pair
+
+class Bayelemabaga(datasets.GeneratorBasedBuilder):
+    """ Bi-Lingual Bam, Fr text made for Machine Translation """
+
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIG_CLASS = BayelemabagaConfig
+
+    BUILDER_CONFIGS = [
+        BayelemabagaConfig(name="bam-fr", description=_DESCRIPTION, language_pair="bam-fr"),
+        BayelemabagaConfig(name="fr-bam", description=_DESCRIPTION, language_pair="fr-bam")
+    ]
+
+    def _info(self):
+        src_tag, tgt_tag = self.config.language_pair.split("-")
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({"translation": datasets.features.Translation(languages=(src_tag, tgt_tag))}),
+            supervised_keys=(src_tag, tgt_tag),
+            homepage="https://robotsmali-ai.github.io/datasets",
+            citation=_CITATION
+        )
+
+    def _split_generators(self, dl_manager):
+        lang_pair = self.config.language_pair
+        src_tag, tgt_tag = lang_pair.split("-")
+
+        archive = dl_manager.download(_URL["parallel"])
+
+        train_dir = "bayelemabaga/train"
+        valid_dir = "bayelemabaga/valid"
+        test_dir = "bayelemabaga/test"
+        
+        train = datasets.SplitGenerator(
+            name=datasets.Split.TRAIN,
+            gen_kwargs = {
+                "filepath": f"{train_dir}/train.{src_tag}",
+                "labelpath": f"{train_dir}/train.{tgt_tag}",
+                "files": dl_manager.iter_archive(archive)
+            }
+        )
+
+        valid = datasets.SplitGenerator(
+            name=datasets.Split.VALIDATION,
+            gen_kwargs = {
+                "filepath": f"{valid_dir}/dev.{src_tag}",
+                "labelpath": f"{valid_dir}/dev.{tgt_tag}",
+                "files": dl_manager.iter_archive(archive)
+            }
+        )
+
+        test = datasets.SplitGenerator(
+            name=datasets.Split.TEST,
+            gen_kwargs = {
+                "filepath": f"{test_dir}/test.{src_tag}",
+                "labelpath": f"{test_dir}/test.{tgt_tag}",
+                "files": dl_manager.iter_archive(archive)
+            }
+        )
+
+        output = []
+
+        output.append(train)
+        output.append(valid)
+        output.append(test)
+
+        return output
+    
+    def _generate_examples(self, filepath, labelpath, files):
+        """ Yield examples """
+        src_tag, tgt_tag = self.config.language_pair.split("-")
+        src, tgt = None, None
+
+        for path, f in files:
+            if(path == filepath):
+                src = f.read().decode("utf-8").split("\n")[:-1]
+            elif(path == labelpath):
+                tgt = f.read().decode("utf-8").split("\n")[:-1]
+            
+            if(src is not None and tgt is not None):
+                for idx, (s,t) in enumerate(zip(src, tgt)):
+                    yield idx, {"translation": {src_tag: s, tgt_tag: t}}
+                break

index.html

@@ -0,0 +1,158 @@
+<html>
+    <head>
+        <style>
+            button {
+                width: 25%;
+                border: 0;
+                padding: 0.5%;
+                margin: 2% 1%;
+                color: slategrey;
+                /*box-shadow: rgba(0, 0, 0, 0.35) 0px 5px 15px;*/
+                font-weight: bolder;
+                font-size: 125%;
+            }
+            button:hover {
+                background-color: #d9e6ff;
+                color: #ff5659;
+            }
+        </style>
+        <title>BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning</title>
+    </head>
+    <body>
+        <h1>
+            BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
+        </h1>
+        <h2>Overview</h2>
+        <p>
+            The Bayelemabaga dataset is a collection of 44160 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>
+        <table>
+            <thead>
+                <tr>
+                    <th align="left"></th>
+                    <th align="right"></th>
+                </tr>
+            </thead>
+            <tbody>
+                <tr>
+                    <td align="left"><strong>Lines</strong></td>
+                    <td align="right"><strong>44160</strong></td>
+                </tr>
+                <tr>
+                    <td align="left">French Tokens</td>
+                    <td align="right">665425</td>
+                </tr>
+                <tr>
+                    <td align="left">Bambara Tokens</td>
+                    <td align="right">645414</td>
+                </tr>
+                <tr>
+                    <td align="left">French Types</td>
+                    <td align="right">28312</td>
+                </tr>
+                <tr>
+                    <td align="left">Bambara Types</td>
+                    <td align="right">27532</td>
+                </tr>
+                <tr>
+                    <td align="left">Avg. Fr line length</td>
+                    <td align="right">79</td>
+                </tr>
+                <tr>
+                    <td align="left">Avg. Bam line length</td>
+                    <td align="right">66</td>
+                </tr>
+                <tr>
+                    <td align="left">Number of text sources</td>
+                    <td align="right">231</td>
+                </tr>
+            </tbody>
+        </table>
+        <h2>Data Splits</h2>
+        <table>
+            <thead>
+                <tr>
+                    <th align="center"></th>
+                    <th align="center"></th>
+                    <th align="right"></th>
+                </tr>
+            </thead>
+            <tbody>
+                <tr>
+                    <td align="center">Train</td>
+                    <td align="center">80%</td>
+                    <td align="right">35328</td>
+                </tr>
+                <tr>
+                    <td align="center">Valid</td>
+                    <td align="center">10%</td>
+                    <td align="right">4416</td>
+                </tr>
+                <tr>
+                    <td align="center">Test</td>
+                    <td align="center">10%</td>
+                    <td align="right">4416</td>
+                </tr>
+                <tr>
+                    <td align="center"></td>
+                    <td align="center"></td>
+                    <td align="right"></td>
+                </tr>
+            </tbody>
+        </table>
+        <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 =&gt; (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>1.0.0</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>
+
+        <button onclick="download_triggered()">Download</button>
+        <div id="code_sent"></div>
+        <div>
+            For any questions, contact <code>mleventhal@robotsmali.org</code>
+        </div>
+        <br />
+        <div>This dataset is distributed under the CC-BY-SA-4.0 LICENSE</div>
+    </body>
+    <script src="./index.js"></script>
+</html>