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import datasets |
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_URLs = { |
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"train": "dataset.txt", |
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} |
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class ParaCrawl9GlEs(datasets.GeneratorBasedBuilder): |
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def _info(self): |
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return datasets.DatasetInfo( |
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description="Dataset for Galician-Spanish from ParaCrawl v9", |
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features=datasets.Features( |
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{ |
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"es": datasets.Value("string"), |
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"gl": datasets.Value("string") |
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} |
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), |
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supervised_keys=None, |
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homepage="https://example.com/", |
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citation="", |
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) |
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def _split_generators(self, dl_manager): |
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downloaded_files = dl_manager.download_and_extract(_URLs) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"filepath": downloaded_files["train"], |
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} |
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)] |
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def _generate_examples(self, filepath): |
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with open(filepath, "r", encoding='UTF-8') as f: |
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for idx, line in enumerate(f): |
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es, gl = line.split(" ") |
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yield idx, {"es": es.strip(), "gl": gl.strip()} |
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