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"""Dataset for automatic summarization of Russian news""" |
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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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_CITATION = """ |
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@InProceedings{10.1007/978-3-030-59082-6_9, |
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author="Gusev, Ilya", |
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editor="Filchenkov, Andrey and Kauttonen, Janne and Pivovarova, Lidia", |
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title="Dataset for Automatic Summarization of Russian News", |
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booktitle="Artificial Intelligence and Natural Language", |
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year="2020", |
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publisher="Springer International Publishing", |
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address="Cham", |
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pages="122--134", |
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isbn="978-3-030-59082-6" |
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} |
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""" |
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_DESCRIPTION = """\\nDataset for automatic summarization of Russian news |
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""" |
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_HOMEPAGE = "https://github.com/IlyaGusev/gazeta" |
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_LICENSE = "" |
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_URLs = { |
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'basic': "https://github.com/IlyaGusev/gazeta/releases/download/1.0/gazeta_jsonl.tar.gz", |
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} |
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class GazetaDataset(datasets.GeneratorBasedBuilder): |
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"""Dataset for automatic summarization of Russian news""" |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="basic", version=VERSION, description=""), |
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] |
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DEFAULT_CONFIG_NAME = "basic" |
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def _info(self): |
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features = datasets.Features( |
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{ |
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"text": datasets.Value("string"), |
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"summary": datasets.Value("string"), |
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"title": datasets.Value("string"), |
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"date": datasets.Value("string"), |
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"url": datasets.Value("string") |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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my_urls = _URLs[self.config.name] |
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data_dir = dl_manager.download_and_extract(my_urls) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"filepath": os.path.join(data_dir, "gazeta_train.jsonl"), |
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"split": "train", |
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}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"filepath": os.path.join(data_dir, "gazeta_test.jsonl"), |
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"split": "test" |
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}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={ |
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"filepath": os.path.join(data_dir, "gazeta_val.jsonl"), |
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"split": "dev", |
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}, |
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), |
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] |
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def _generate_examples( |
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self, filepath, split |
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): |
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with open(filepath, encoding="utf-8") as f: |
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for id_, row in enumerate(f): |
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data = json.loads(row) |
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yield id_, data |
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