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README.md CHANGED
@@ -1,3 +1,56 @@
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- ---
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- license: cc-by-sa-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
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+
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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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+
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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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+
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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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+
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+ ## Remarks
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+
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+ * We are working on resolving some last minute misalignment issues.
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+
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+ ### Maintenance
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+
32
+ * This dataset is supposed to be actively maintained.
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+
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+ ### Benchmarks:
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+
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+ - `Coming soon`
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+
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+ ### To note:
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+ - ʃ => (sh) sound: Symbol left in the dataset, although not a part of bambara orthography nor French orthography.
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+
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+ ## License
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+
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+ - `CC-BY-SA-4.0`
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+
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+ ## Version
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+
47
+ - `1.0.0`
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+
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+ ## Citation
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+
51
+
52
+
53
+ ## Contacts
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+ - Christopher Homan (PI)
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+ - Michael Leventhal (PI)
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+ - Valentin Vydrin (PI)
bayelemabaga.py ADDED
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+ """ RobotsMaliAI: Bayelemaba """
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+
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+ import datasets
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+
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+ _CITATION = """\
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+ @misc{bayelemaba2022
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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 Z... and
14
+ INALCO Members
15
+
16
+ },
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+ howpublished = {url{https://github.com/robotsmali-ai/datasets}},
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+ year={2022}
19
+ }
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+ """
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+
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+ _DESCRIPTION = """\
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+ The Bayelemabaga dataset is a collection of 44160 aligned machine translation ready Bambara-French lines,
24
+ originating from Corpus Bambara de Reference. The dataset is constitued of text extracted from 231 source files,
25
+ varing from periodicals, books, short stories, blog posts, part of the Bible and the Quran.
26
+ """
27
+
28
+ _URL = {
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+ "parallel": "https://robotsmali-ai.github.io/datasets/bayelemabaga.tar.gz"
30
+ }
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+
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+ _LanguagePairs = [
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+ "bam-fr", "fr-bam"]
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+
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+ class BayelemabagaConfig(datasets.BuilderConfig):
36
+ """ BuilderConfig for Bayelemabaga """
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+
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+ def __init__(self, language_pair, **kwargs) -> None:
39
+ """
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+ Args:
41
+ language_pair: language pair, you want to load
42
+ **kwargs: -> Super()
43
+ """
44
+ super().__init__(**kwargs)
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+
46
+ self.language_pair = language_pair
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+
48
+ class Bayelemabaga(datasets.GeneratorBasedBuilder):
49
+ """ Bi-Lingual Bam, Fr text made for Machine Translation """
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+
51
+ VERSION = datasets.Version("1.0.0")
52
+ BUILDER_CONFIG_CLASS = BayelemabagaConfig
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+
54
+ BUILDER_CONFIGS = [
55
+ BayelemabagaConfig(name="bam-fr", description=_DESCRIPTION, language_pair="bam-fr"),
56
+ BayelemabagaConfig(name="fr-bam", description=_DESCRIPTION, language_pair="fr-bam")
57
+ ]
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+
59
+ def _info(self):
60
+ src_tag, tgt_tag = self.config.language_pair.split("-")
61
+ return datasets.DatasetInfo(
62
+ description=_DESCRIPTION,
63
+ features=datasets.Features({"translation": datasets.features.Translation(languages=(src_tag, tgt_tag))}),
64
+ supervised_keys=(src_tag, tgt_tag),
65
+ homepage="https://robotsmali-ai.github.io/datasets",
66
+ citation=_CITATION
67
+ )
68
+
69
+ def _split_generators(self, dl_manager):
70
+ lang_pair = self.config.language_pair
71
+ src_tag, tgt_tag = lang_pair.split("-")
72
+
73
+ archive = dl_manager.download(_URL["parallel"])
74
+
75
+ train_dir = "bayelemabaga/train"
76
+ valid_dir = "bayelemabaga/valid"
77
+ test_dir = "bayelemabaga/test"
78
+
79
+ train = datasets.SplitGenerator(
80
+ name=datasets.Split.TRAIN,
81
+ gen_kwargs = {
82
+ "filepath": f"{train_dir}/train.{src_tag}",
83
+ "labelpath": f"{train_dir}/train.{tgt_tag}",
84
+ "files": dl_manager.iter_archive(archive)
85
+ }
86
+ )
87
+
88
+ valid = datasets.SplitGenerator(
89
+ name=datasets.Split.VALIDATION,
90
+ gen_kwargs = {
91
+ "filepath": f"{valid_dir}/dev.{src_tag}",
92
+ "labelpath": f"{valid_dir}/dev.{tgt_tag}",
93
+ "files": dl_manager.iter_archive(archive)
94
+ }
95
+ )
96
+
97
+ test = datasets.SplitGenerator(
98
+ name=datasets.Split.TEST,
99
+ gen_kwargs = {
100
+ "filepath": f"{test_dir}/test.{src_tag}",
101
+ "labelpath": f"{test_dir}/test.{tgt_tag}",
102
+ "files": dl_manager.iter_archive(archive)
103
+ }
104
+ )
105
+
106
+ output = []
107
+
108
+ output.append(train)
109
+ output.append(valid)
110
+ output.append(test)
111
+
112
+ return output
113
+
114
+ def _generate_examples(self, filepath, labelpath, files):
115
+ """ Yield examples """
116
+ src_tag, tgt_tag = self.config.language_pair.split("-")
117
+ src, tgt = None, None
118
+
119
+ for path, f in files:
120
+ if(path == filepath):
121
+ src = f.read().decode("utf-8").split("\n")[:-1]
122
+ elif(path == labelpath):
123
+ tgt = f.read().decode("utf-8").split("\n")[:-1]
124
+
125
+ if(src is not None and tgt is not None):
126
+ for idx, (s,t) in enumerate(zip(src, tgt)):
127
+ yield idx, {"translation": {src_tag: s, tgt_tag: t}}
128
+ break
index.html ADDED
@@ -0,0 +1,158 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <html>
2
+ <head>
3
+ <style>
4
+ button {
5
+ width: 25%;
6
+ border: 0;
7
+ padding: 0.5%;
8
+ margin: 2% 1%;
9
+ color: slategrey;
10
+ /*box-shadow: rgba(0, 0, 0, 0.35) 0px 5px 15px;*/
11
+ font-weight: bolder;
12
+ font-size: 125%;
13
+ }
14
+ button:hover {
15
+ background-color: #d9e6ff;
16
+ color: #ff5659;
17
+ }
18
+ </style>
19
+ <title>BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning</title>
20
+ </head>
21
+ <body>
22
+ <h1>
23
+ BAYƐLƐMABAGA: Parallel French - Bambara Dataset for Machine Learning
24
+ </h1>
25
+ <h2>Overview</h2>
26
+ <p>
27
+ The Bayelemabaga dataset is a collection of 44160 aligned machine
28
+ translation ready Bambara-French lines, originating from
29
+ <a href="http://cormande.huma-num.fr/corbama/run.cgi/first_form"
30
+ >Corpus Bambara de Reference</a
31
+ > by INALCO's LLACAN Lab. The dataset is constitued of text extracted from
32
+ <strong>231</strong> text files, varing from periodicals, books,
33
+ short stories, blog posts, part of the Bible and the Quran.
34
+ </p>
35
+ <h2>Snapshot: 44160</h2>
36
+ <table>
37
+ <thead>
38
+ <tr>
39
+ <th align="left"></th>
40
+ <th align="right"></th>
41
+ </tr>
42
+ </thead>
43
+ <tbody>
44
+ <tr>
45
+ <td align="left"><strong>Lines</strong></td>
46
+ <td align="right"><strong>44160</strong></td>
47
+ </tr>
48
+ <tr>
49
+ <td align="left">French Tokens</td>
50
+ <td align="right">665425</td>
51
+ </tr>
52
+ <tr>
53
+ <td align="left">Bambara Tokens</td>
54
+ <td align="right">645414</td>
55
+ </tr>
56
+ <tr>
57
+ <td align="left">French Types</td>
58
+ <td align="right">28312</td>
59
+ </tr>
60
+ <tr>
61
+ <td align="left">Bambara Types</td>
62
+ <td align="right">27532</td>
63
+ </tr>
64
+ <tr>
65
+ <td align="left">Avg. Fr line length</td>
66
+ <td align="right">79</td>
67
+ </tr>
68
+ <tr>
69
+ <td align="left">Avg. Bam line length</td>
70
+ <td align="right">66</td>
71
+ </tr>
72
+ <tr>
73
+ <td align="left">Number of text sources</td>
74
+ <td align="right">231</td>
75
+ </tr>
76
+ </tbody>
77
+ </table>
78
+ <h2>Data Splits</h2>
79
+ <table>
80
+ <thead>
81
+ <tr>
82
+ <th align="center"></th>
83
+ <th align="center"></th>
84
+ <th align="right"></th>
85
+ </tr>
86
+ </thead>
87
+ <tbody>
88
+ <tr>
89
+ <td align="center">Train</td>
90
+ <td align="center">80%</td>
91
+ <td align="right">35328</td>
92
+ </tr>
93
+ <tr>
94
+ <td align="center">Valid</td>
95
+ <td align="center">10%</td>
96
+ <td align="right">4416</td>
97
+ </tr>
98
+ <tr>
99
+ <td align="center">Test</td>
100
+ <td align="center">10%</td>
101
+ <td align="right">4416</td>
102
+ </tr>
103
+ <tr>
104
+ <td align="center"></td>
105
+ <td align="center"></td>
106
+ <td align="right"></td>
107
+ </tr>
108
+ </tbody>
109
+ </table>
110
+ <h2>Remarks</h2>
111
+ <ul>
112
+ <li>
113
+ We are working on resolving some last minute misalignment issues
114
+ encountered.
115
+ </li>
116
+ </ul>
117
+ <h3>Maintenance</h3>
118
+ <ul>
119
+ <li>This dataset is supposed to be actively maintained.</li>
120
+ </ul>
121
+ <h3>Benchmarks:</h3>
122
+ <ul>
123
+ <li>
124
+ <code>Coming soon</code>
125
+ </li>
126
+ </ul>
127
+ <h3>To note:</h3>
128
+ <ul>
129
+ <li>
130
+ ʃ =&gt; (sh) sound: Symbol left in the dataset, although not a
131
+ part of bambara orthography nor French orthography.
132
+ </li>
133
+ </ul>
134
+ <h2>License</h2>
135
+ <h2>Version</h2>
136
+ <ul>
137
+ <li>
138
+ <code>1.0.0</code>
139
+ </li>
140
+ </ul>
141
+ <h2>Citation</h2>
142
+ <h2>Contacts</h2>
143
+ <ul>
144
+ <li>Christopher Homan (PI)</li>
145
+ <li>Michael Leventhal (PI)</li>
146
+ <li>Valentin Vydrin (PI)</li>
147
+ </ul>
148
+
149
+ <button onclick="download_triggered()">Download</button>
150
+ <div id="code_sent"></div>
151
+ <div>
152
+ For any questions, contact <code>mleventhal@robotsmali.org</code>
153
+ </div>
154
+ <br />
155
+ <div>This dataset is distributed under the CC-BY-SA-4.0 LICENSE</div>
156
+ </body>
157
+ <script src="./index.js"></script>
158
+ </html>