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import csv |
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import json |
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import os |
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import datasets |
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_DESCRIPTION = """\ |
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This new dataset is designed to solve persian long summarization tasks. |
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""" |
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_URLS = { |
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"train": "https://huggingface.co/datasets/zedfum/long-summarization-persian/blob/main/train.csv", |
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"validation": "https://huggingface.co/datasets/zedfum/long-summarization-persian/blob/main/validation.csv", |
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"test": "https://huggingface.co/datasets/zedfum/long-summarization-persian/blob/main/test.csv", |
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} |
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class NewDataset(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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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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"id": datasets.Value("string"), |
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"article": datasets.Value("string"), |
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"summary": datasets.Value("string") |
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} |
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), |
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) |
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def _split_generators(self, dl_manager): |
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urls_to_download = _URLS |
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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( |
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name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={"filepath": downloaded_files["validation"]}, |
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), |
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] |
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def _generate_examples(self, filepath, split): |
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df = pd.read_csv(filepath) |
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for idx, example in enumerate(df.itertuples(index=False)): |
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yield idx, {"id":example.id,"article": example.article, "summary": example.summary} |
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} |