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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_LICENSE = "Creative Commons Attribution 4.0 International" |
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_VERSION = "1.1.0" |
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_URL = "https://huggingface.co/datasets/mrojas/wl-disease/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 DiseaseConfig(datasets.BuilderConfig): |
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"""BuilderConfig for Disease dataset.""" |
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def __init__(self, **kwargs): |
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super(DiseaseConfig, self).__init__(**kwargs) |
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class Disease(datasets.GeneratorBasedBuilder): |
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"""Disease dataset.""" |
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BUILDER_CONFIGS = [ |
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DiseaseConfig( |
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name="Disease", |
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version=datasets.Version(_VERSION), |
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description="Disease dataset"), |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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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-Disease", |
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"I-Disease", |
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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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) |
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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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pos_tags = [] |
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ner_tags = [] |
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for line in f: |
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if 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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splits = line.split(" ") |
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tokens.append(splits[0]) |
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ner_tags.append(splits[-1].rstrip()) |
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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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} |
