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from pathlib import Path |
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import datasets |
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import pandas as pd |
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_CITATION = """\ |
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@InProceedings{AbusiveClauses:dataset, |
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title = {AbusiveClauses}, |
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author={}, |
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year={2022} |
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} |
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""" |
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_DESCRIPTION = "Binary Abusive Clauses in Polish" |
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_HOMEPAGE = "" |
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_LICENSE = "" |
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_LABELS = ["KLAUZULA_ABUZYWNA", "BEZPIECZNE_POSTANOWIENIE_UMOWNE"] |
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DATA_PATH = Path(".") |
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class AbusiveClausesConfig(datasets.BuilderConfig): |
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def __init__(self, **kwargs): |
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super(AbusiveClausesConfig, self).__init__(**kwargs) |
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class AbusiveClausesDataset(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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TRAIN_FILE = DATA_PATH / "train.csv" |
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VAL_FILE = DATA_PATH / "dev.csv" |
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TEST_FILE = DATA_PATH / "test.csv" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="abusive-clauses-pl", version=VERSION) |
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] |
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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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"label": datasets.features.ClassLabel( |
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names=_LABELS, num_classes=len(_LABELS) |
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), |
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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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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, gen_kwargs={"filepath": str(self.TRAIN_FILE)} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, gen_kwargs={"filepath": str(self.TEST_FILE)} |
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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": str(self.VAL_FILE)}, |
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), |
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] |
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def _generate_examples(self, filepath: str): |
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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, {"text": example.text, "label": example.label} |
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