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| """AskDocs: A medical QA dataset."""
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| import json
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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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| #TODO: citation
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| }
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| """
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| _DESCRIPTION = """\
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| #TODO: description
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| """
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| class AskDConfig(datasets.BuilderConfig):
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| """BuilderConfig for AskD."""
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| def __init__(self, **kwargs):
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| """BuilderConfig for AskD.
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| Args:
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| **kwargs: keyword arguments forwarded to super.
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| """
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| super(AskDConfig, self).__init__(**kwargs)
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| class AskD(datasets.GeneratorBasedBuilder):
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| """AskDocs: A medical QA dataset."""
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| VERSION = datasets.Version("0.0.0")
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| BUILDER_CONFIGS = [
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| AskDConfig(
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| name="default",
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| version=datasets.Version("0.0.0"),
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| description="Default config",
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| ),
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| ]
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| DEFAULT_CONFIG_NAME = "default"
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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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| "q_id": datasets.Value("string"),
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| "title": datasets.Value("string"),
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| "selftext": datasets.Value("string"),
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| "document": datasets.Value("string"),
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| "subreddit": datasets.Value("string"),
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| "answers": {
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| "a_id": datasets.features.Sequence(datasets.Value("string")),
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| "text": datasets.features.Sequence(datasets.Value("string")),
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| "score": datasets.features.Sequence(datasets.Value("int32")),
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| },
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| "title_urls": datasets.features.Sequence(datasets.Value("string")),
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| "selftext_urls": datasets.features.Sequence(
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| datasets.Value("string")
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| ),
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| "answers_urls": datasets.features.Sequence(datasets.Value("string")),
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| }
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| ),
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| supervised_keys=None,
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| citation=_CITATION,
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| )
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| def _split_generators(self, dl_manager):
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| _URL = "https://github.com/ju-resplande/askD/releases/download/v0.0.0/"
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| _SPLITS = [
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| "train",
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| "validation",
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| "test",
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| "external"
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| ]
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| _LANGS = [
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| "pt",
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| "en"
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| ]
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| _URLS = {
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| f"{split}_{lang}": f"{_URL}{split}_{lang}.json"
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| for split in _SPLITS
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| for lang in _LANGS
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| }
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| downloaded_files = dl_manager.download_and_extract(_URLS)
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| return [
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| datasets.SplitGenerator(
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| name=datasets.Split(key),
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| gen_kwargs={"filepath": downloaded_files[key]},
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| )
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| for key in downloaded_files
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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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| example = json.load(f)
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| for id_, row in enumerate(example):
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| yield id_, row
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