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import os |
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import datasets |
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import json |
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from paths import _URLS |
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_CITATION = """\ |
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@dataset{jose_canete_2019_3247731, |
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author = {José Cañete}, |
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title = {Compilation of Large Spanish Unannotated Corpora}, |
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month = may, |
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year = 2019, |
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publisher = {Zenodo}, |
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doi = {10.5281/zenodo.3247731}, |
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url = {https://doi.org/10.5281/zenodo.3247731} |
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} |
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""" |
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_DESCRIPTION = "Unannotated Spanish 3 Billion Words Corpora. This repository gathers a compilation of corpus in Spanish language" |
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_HOMEPAGE = "https://github.com/josecannete/spanish-corpora" |
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_LICENSE = "MIT License (https://github.com/josecannete/spanish-corpora/blob/master/LICENSE)" |
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class NewDatasetConfig(datasets.BuilderConfig): |
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def __init__(self, name_into_zip, features, data_url, **kwargs): |
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super(NewDatasetConfig, self).__init__(description="",version=datasets.Version("1.0.0"), **kwargs) |
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self.features = features |
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self.data_url = data_url |
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self.name_into_zip = name_into_zip |
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class NewDataset(datasets.GeneratorBasedBuilder): |
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DEFAULT_CONFIG_NAME = list(_URLS.keys())[0] |
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BUILDER_CONFIGS = [ |
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NewDatasetConfig( |
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name=name, |
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name_into_zip="preprocessed_{}_lower_{}.json".format(name.split("_")[0], name.split("_")[1]), |
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features=["idx","text","subset"], |
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data_url=url |
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) |
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for name,url in _URLS.items() |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION + self.config.description, |
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features=datasets.Features( |
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{ |
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"idx": datasets.Value(dtype="int32"), |
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"text": datasets.Value(dtype="string"), |
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"subset": datasets.Value(dtype="string") |
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} |
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), |
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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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data_dir = dl_manager.download_and_extract(self.config.data_url) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.ALL, |
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gen_kwargs={ |
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"filepath": os.path.join(data_dir, self.config.name_into_zip), |
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"subset": self.config.name.split("_")[0] |
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}, |
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) |
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] |
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def _generate_examples(self, filepath, subset): |
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with open(filepath, encoding="utf-8") as f: |
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id_ = 0 |
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data = json.load(f) |
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for _, text in data['text'].items(): |
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yield id_, { |
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"idx":id_, |
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"text":text.strip(), |
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"subset":subset |
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} |
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id_ += 1 |
