Upload 3 files
Browse files- combined-train-distemist-dev-ner.py +114 -0
- dev.conll +3 -0
- test.conll +3 -0
combined-train-distemist-dev-ner.py
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# Loading script for the CombinedTrainDisTEMISTDevNER dataset.
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_CITATION = """
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"""
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_DESCRIPTION = """\
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"""
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_URL = "https://huggingface.co/datasets/Rodrigo1771/combined-train-distemist-dev-ner/resolve/main/"
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_TRAINING_FILE = "train.conll"
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_DEV_FILE = "dev.conll"
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_TEST_FILE = "test.conll"
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class CombinedTrainDisTEMISTDevNERConfig(datasets.BuilderConfig):
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"""BuilderConfig for CombinedTrainDisTEMISTDevNER NER dataset"""
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def __init__(self, **kwargs):
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"""BuilderConfig for CombinedTrainDisTEMISTDevNER NER.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(CombinedTrainDisTEMISTDevNERConfig, self).__init__(**kwargs)
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class CombinedTrainDisTEMISTDevNER(datasets.GeneratorBasedBuilder):
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"""CombinedTrainDisTEMISTDevNER NER dataset."""
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BUILDER_CONFIGS = [
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CombinedTrainDisTEMISTDevNERConfig(
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name="CombinedTrainDisTEMISTDevNER",
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version=datasets.Version("1.0.0"),
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description="CombinedTrainDisTEMISTDevNER dataset"),
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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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"id": datasets.Value("string"),
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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-ENFERMEDAD",
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"I-ENFERMEDAD",
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"B-PROCEDIMIENTO",
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"I-PROCEDIMIENTO",
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"B-SINTOMA",
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"I-SINTOMA",
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"B-FARMACO",
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"I-FARMACO"
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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=_DESCRIPTION,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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urls_to_download = {
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"train": f"{_URL}{_TRAINING_FILE}",
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"dev": f"{_URL}{_DEV_FILE}",
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"test": f"{_URL}{_TEST_FILE}",
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
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]
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def _generate_examples(self, filepath):
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logger.info("⏳ Generating examples from = %s", filepath)
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with open(filepath, encoding="utf-8") as f:
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guid = 0
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tokens = []
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ner_tags = []
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for line in f:
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if line.startswith("-DOCSTART-") or line == "" or line == "\n":
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if tokens:
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yield guid, {
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"id": str(guid),
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"tokens": tokens,
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"ner_tags": ner_tags,
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}
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guid += 1
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tokens = []
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ner_tags = []
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else:
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# CombinedTrainDisTEMISTDevNER tokens are tab separated
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splits = line.split("\t")
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tokens.append(splits[0])
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ner_tags.append(splits[-1].rstrip())
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# last example
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yield guid, {
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"id": str(guid),
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"tokens": tokens,
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"ner_tags": ner_tags,
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}
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dev.conll
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version https://git-lfs.github.com/spec/v1
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oid sha256:10db94e3d2dcb1221dbb108a3a75d860a47b45cc1a58eabec45f89031fab37ab
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size 6962059
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test.conll
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version https://git-lfs.github.com/spec/v1
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oid sha256:03d8ffc952d4699f82662572baddc18e2e3beda7646ad10f2e01af1c861ffe43
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size 12313810
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