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.DS_Store DELETED
Binary file (6.15 kB)
 
data/.DS_Store DELETED
Binary file (6.15 kB)
 
data/dev.conll DELETED
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data/test.conll DELETED
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data/train.conll DELETED
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shared-task.py DELETED
@@ -1,113 +0,0 @@
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- import datasets
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-
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-
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- logger = datasets.logging.get_logger(__name__)
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-
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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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- """
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-
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- _URL = "https://huggingface.co/datasets/mrojas/shared-task/resolve/main/data/"
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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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-
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-
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- class SharedConfig(datasets.BuilderConfig):
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- """BuilderConfig for Shared Task"""
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-
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- def __init__(self, **kwargs):
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- """BuilderConfig for Shared Task.
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- Args:
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- **kwargs: keyword arguments forwarded to super.
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- """
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- super(SharedConfig, self).__init__(**kwargs)
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-
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-
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- class Shared(datasets.GeneratorBasedBuilder):
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- """Shared dataset."""
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-
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- BUILDER_CONFIGS = [
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- SharedConfig(name="shared", version=datasets.Version("1.0.0"), description="Shared dataset"),
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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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- "B-EXPLORATION",
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- "I-EXPLORATION",
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- "B-PRESENT_ILLNESS",
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- "I-PRESENT_ILLNESS",
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- "B-TREATMENT",
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- "I-TREATMENT",
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- "B-EVOLUTION",
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- "I-EVOLUTION",
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- "B-PAST_MEDICAL_HISTORY",
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- "I-PAST_MEDICAL_HISTORY",
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- "B-DERIVED_FROM/TO",
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- "I-DERIVED_FROM/TO",
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- "B-FAMILY_HISTORY",
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- "I-FAMILY_HISTORY",
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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="",
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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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- """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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-
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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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-
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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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- id_ = 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 == "" or line == "\n":
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- if tokens:
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- yield id_, {
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- "tokens": tokens,
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- "ner_tags": ner_tags,
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- }
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- id_ += 1
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- tokens = []
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- ner_tags = []
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- else:
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- # conll2003 tokens are space separated
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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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- # last example
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- yield id_, {
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- "tokens": tokens,
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- "ner_tags": ner_tags,
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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