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README.md

@@ -1,99 +0,0 @@
----
-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.  
-
-## 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
-```
-@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}
-}
-```

bam-fr/bayelemabaga-test.parquet

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+size 501788

bam-fr/bayelemabaga-train.parquet

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+oid sha256:a98f905dfcb9b8cd99968465d7b6a7c28196741357b59c2a933ce0d25557028d
+size 4003910

bam-fr/bayelemabaga-validation.parquet

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+oid sha256:e1de77e35d94c8449bd240081a5fb71ccbfe05643c51555689e4ae7dd479b213
+size 497925

bayelemabaga.py

@@ -1,131 +0,0 @@
-""" RobotsMaliAI: Bayelemaba """
-
-import datasets
-
-_CITATION = """\
-@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}
-}
-"""
-
-_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

fr-bam/bayelemabaga-test.parquet

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fr-bam/bayelemabaga-train.parquet

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fr-bam/bayelemabaga-validation.parquet

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index.html

@@ -1,158 +0,0 @@
-<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>