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import datasets |
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_CITATION = """\ |
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""" |
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_DESCRIPTION = """\ |
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This is a test dataset. |
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""" |
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_URL = "https://pastebin.com/raw/HvpE1CnA" |
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class Test(datasets.GeneratorBasedBuilder): |
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"""SQUAD: The Stanford Question Answering Dataset. Version 1.1.""" |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"text": datasets.Value("string"), |
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} |
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), |
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supervised_keys=None, |
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homepage="https://huggingface.co/datasets/lhoestq/test", |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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downloaded_file = dl_manager.download_and_extract(_URL) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file}), |
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] |
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def _generate_examples(self, filepath): |
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"""This function returns the examples in the raw (text) form.""" |
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for _id, line in enumerate(open(filepath, encoding="utf-8")): |
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yield _id, {"text": line.rstrip()} |
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