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import json |
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import pandas as pd |
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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_DESCRIPTION = """\ |
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Korean Book Summarization Data |
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""" |
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_URL = "https://huggingface.co/datasets/LeverageX/book-summarization/resolve/main/" |
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_URLS = { |
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"train_data": _URL + "train_data.json", |
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"validation_data": _URL + "validation_data.json", |
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} |
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class KoreanNewspaper(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name="Aihub Book Summarization", |
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version=datasets.Version("1.0.0", ""), |
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description="Korean Summarization Data", |
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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=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"name": datasets.Value("string"), |
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"publisher": datasets.Value("string"), |
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"passage": datasets.Value("string"), |
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"summary": datasets.Value("string"), |
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} |
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), |
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supervised_keys=None, |
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homepage="https://aihub.or.kr/aidata/30713", |
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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_data"]}), |
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["validation_data"]}), |
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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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logger.info("generating examples from = %s", filepath) |
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key = 0 |
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with open(filepath, encoding="utf-8") as f : |
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data = json.load(f) |
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for info in data : |
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doc_id = info['id'] |
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doc_name = info['name'] |
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publisher = info['publisher'] |
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passage = info['passage'] |
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summary = info['summary'] |
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yield key, { |
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"id" : doc_id, |
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"name" : doc_name, |
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"publisher" : publisher, |
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"passage" : passage, |
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"summary" : summary, |
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} |
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key += 1 |