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Upload abusive_clauses_loader.py

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  1. abusive_clauses_loader.py +75 -0
abusive_clauses_loader.py ADDED
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+ from pathlib import Path
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+
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+ import datasets
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+ import pandas as pd
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+
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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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+
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+ _DESCRIPTION = "Binary Abusive Clauses in Polish"
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+
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+ _HOMEPAGE = ""
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+ _LICENSE = ""
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+ _LABELS = ["KLAUZULA_ABUZYWNA", "BEZPIECZNE_POSTANOWIENIE_UMOWNE"]
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+
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+ DATA_PATH = Path(".")
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+
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+
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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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+
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+
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+ class AbusiveClausesDataset(datasets.GeneratorBasedBuilder):
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+ VERSION = datasets.Version("1.0.0")
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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}