Datasets:
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# coding=utf-8
# Lint as: python3
"""AskDocs: A medical QA dataset."""
import json
import datasets
logger = datasets.logging.get_logger(__name__)
_CITATION = """\
#TODO: citation
}
"""
_DESCRIPTION = """\
#TODO: description
"""
class AskDConfig(datasets.BuilderConfig):
"""BuilderConfig for AskD."""
def __init__(self, **kwargs):
"""BuilderConfig for AskD.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(AskDConfig, self).__init__(**kwargs)
class AskD(datasets.GeneratorBasedBuilder):
"""AskDocs: A medical QA dataset."""
VERSION = datasets.Version("0.0.0")
BUILDER_CONFIGS = [
AskDConfig(
name="default",
version=datasets.Version("0.0.0"),
description="Default config",
),
]
DEFAULT_CONFIG_NAME = "default"
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"q_id": datasets.Value("string"),
"title": datasets.Value("string"),
"selftext": datasets.Value("string"),
"document": datasets.Value("string"),
"subreddit": datasets.Value("string"),
"answers": {
"a_id": datasets.features.Sequence(datasets.Value("string")),
"text": datasets.features.Sequence(datasets.Value("string")),
"score": datasets.features.Sequence(datasets.Value("int32")),
},
"title_urls": datasets.features.Sequence(datasets.Value("string")),
"selftext_urls": datasets.features.Sequence(
datasets.Value("string")
),
"answers_urls": datasets.features.Sequence(datasets.Value("string")),
}
),
supervised_keys=None,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
_URL = "https://github.com/ju-resplande/askD/releases/download/v0.0.0/"
_SPLITS = [
"train",
"validation",
"test",
"external"
]
_LANGS = [
"pt",
"en"
]
_URLS = {
f"{split}_{lang}": f"{_URL}{split}_{lang}.json"
for split in _SPLITS
for lang in _LANGS
}
downloaded_files = dl_manager.download_and_extract(_URLS)
return [
datasets.SplitGenerator(
name=datasets.Split(key),
gen_kwargs={"filepath": downloaded_files[key]},
)
for key in downloaded_files
]
def _generate_examples(self, filepath):
logger.info("generating examples from = %s", filepath)
with open(filepath, encoding="utf-8") as f:
example = json.load(f)
for id_, row in enumerate(example):
yield id_, row
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