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Upload naamapadam.py

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  1. naamapadam.py +91 -0
naamapadam.py ADDED
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+ import json
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+ import os
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+
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+ import datasets
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+
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+ _CITATION = """\
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+
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+ """
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+
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+ _DESCRIPTION = """\
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+
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+ """
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+ _LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International Public License"
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+
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+ _URL = "https://huggingface.co/datasets/paricdac/naamapadam/resolve/main"
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+
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+ _LANGUAGES = ["kn"]
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+
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+
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+ class NaamapadamPR(datasets.GeneratorBasedBuilder):
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+ VERSION = datasets.Version("1.0.0")
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+
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+ BUILDER_CONFIGS = [
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+ datasets.BuilderConfig(
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+ name="{}".format(lang), version=datasets.Version("1.0.0")
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+ )
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+ for lang in _LANGUAGES
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+ ]
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "tokens": datasets.Sequence(datasets.Value("string")),
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+ "ner_tags": datasets.Sequence(
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+ datasets.features.ClassLabel(
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+ names=[
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+ "O",
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+ "B-PER",
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+ "I-PER",
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+ "B-ORG",
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+ "I-ORG",
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+ "B-LOC",
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+ "I-LOC",
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+ ]
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+ )
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+ ),
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+ }
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+ ),
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+ supervised_keys=None,
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+ #homepage=_HOMEPAGE,
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+ citation=_CITATION,
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+ license=_LICENSE,
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+ version=self.VERSION,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ """Returns SplitGenerators."""
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+ lang = str(self.config.name)
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+ url = _URL.format(lang, self.VERSION.version_str[:-2])
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+
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+ data_dir = dl_manager.download_and_extract(url)
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+
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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, lang + "_train.json"),
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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, lang + "_test.json"),
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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, lang + "_val.json"),
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+ },
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+ ),
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+ ]
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+
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+ def _generate_examples(self, filepath):
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+ """Yields examples as (key, example) tuples."""
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+ with open(filepath, encoding="utf-8") as f:
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+ for idx_, row in enumerate(f):
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+ data = json.loads(row)
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+ yield idx_, {"tokens": data["words"], "ner_tags": data["ner"]}