| """ 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 | |