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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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