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import os |
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import textwrap |
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from textwrap import TextWrapper |
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import datasets |
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import pyarrow.parquet as pq |
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_URLS = { |
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"original_text": "./original_text", |
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"unlabeled_sentences": "./unlabeled_sentences" |
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} |
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_metadata = { |
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"citation": """\ |
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@InProceedings{ |
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huggingface:dataset, |
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title = {Paraguay Legislation Dataset}, |
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author={Peres, Fernando; Costa, Victor}, |
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year={2023} |
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} |
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""", |
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"description": "Dataset for researching.", |
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"homepage": "https://www.leyes.com.py/", |
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"license": "apache-2.0", |
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} |
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class TestBuilder(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name="raw_text", |
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version=VERSION, |
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description="desc raw text", |
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), |
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datasets.BuilderConfig( |
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name="unlabeled_sentences", |
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version=VERSION, |
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description="desc unlabeled", |
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), |
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] |
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def _info(self): |
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features = None |
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if self.config.name == "raw_text": |
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features = datasets.Features( |
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{ |
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"id": datasets.Value(dtype="int64"), |
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"text": datasets.Value(dtype="string"), |
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} |
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) |
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if self.config.name == "unlabeled_sentences": |
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features = features = datasets.Features( |
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{ |
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"id": datasets.Value(dtype="int64"), |
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"text_2": datasets.Value(dtype="string"), |
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"note": datasets.Value(dtype="string"), |
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} |
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) |
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return datasets.DatasetInfo( |
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builder_name=self.config.name, |
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description="description xxxxxxxxxxxxxxx", |
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features=features, |
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homepage=_metadata["homepage"], |
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license=_metadata["license"], |
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citation=_metadata["citation"], |
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) |
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def _split_generators(self, dl_manager): |
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urls_to_download = _URLS[self.config.name] |
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filepaths = dl_manager.download_and_extract(urls_to_download) |
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return datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"filepath": filepaths}, |
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) |
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def _generate_examples(self, filepath): |
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pq_table = pq.read_table(filepath) |
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for i in range(len(pq_table)): |
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yield i, { |
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col_name: pq_table[col_name][i].as_py() |
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for col_name in pq_table.column_names |
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} |
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