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import datasets |
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import pandas as pd |
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class HfreviewsConfig(datasets.BuilderConfig): |
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def __init__(self, features, **kwargs): |
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super(HfreviewsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs) |
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self.features = features |
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class HealthcareFacilitiesReviews(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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HfreviewsConfig( |
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name="simple", |
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description="Simple config", |
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features=["content", "title", "sentiment", "category", "review_id", "source_url"], |
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) |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description='Healthcare facilities reviews dataset.', |
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features=datasets.Features( |
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{ |
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"content": datasets.Value("string"), |
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"title": datasets.Value("string"), |
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"sentiment": datasets.Value("string"), |
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"category": datasets.Value("string"), |
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"review_id": datasets.Value("string"), |
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"source_url": datasets.Value("string"), |
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"Idx": datasets.Value("int32"), |
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} |
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), |
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supervised_keys=None, |
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homepage='', |
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) |
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def _split_generators(self, dl_manager: datasets.DownloadManager): |
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urls_to_download = { |
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"train": "healthcare_facilities_reviews.jsonl", |
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"dev": "healthcare_facilities_reviews.jsonl", |
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} |
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downloaded_files = dl_manager.download_and_extract(urls_to_download) |
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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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df = pd.read_json(filepath, lines=True) |
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rows = df.to_dict(orient="records") |
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for n, row in enumerate(rows): |
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example = row |
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example["Idx"] = n |
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yield example["Idx"], example |