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test.py
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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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_URLS = {
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"train": "https://huggingface.co/datasets/changxin/test_pqe/main/another_text.txt", # absolute
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"dev": "some_text.txt", # relative
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}
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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/changxin/test_pq",
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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_files = dl_manager.download_and_extract(_URLS)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
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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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