import datasets import json class HfreviewsConfig(datasets.BuilderConfig): def __init__(self, features, **kwargs): super(HfreviewsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs) self.features = features class HealthcareFacilitiesReviews(datasets.GeneratorBasedBuilder): BUILDER_CONFIGS = [ HfreviewsConfig( name="simple", description="Simple config", features=["content", "title", "sentiment", "category", "review_id", "source_url"], ) ] def _info(self): return datasets.DatasetInfo( description='Healthcare facilities reviews dataset.', features=datasets.Features( { "content": datasets.Value("string"), "title": datasets.Value("string"), "sentiment": datasets.Value("string"), "category": datasets.Value("string"), "review_id": datasets.Value("string"), "source_url": datasets.Value("string"), "Idx": datasets.Value("int32"), } ), supervised_keys=None, homepage='', ) def _split_generators(self, dl_manager: datasets.DownloadManager): urls_to_download = { "train": "healthcare_facilities_reviews.jsonl", "dev": "healthcare_facilities_reviews.jsonl", } downloaded_files = dl_manager.download_and_extract(urls_to_download) return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}), ] def _generate_examples(self, filepath): """Yields examples.""" with open(filepath, encoding="utf-8") as f: for uid, row in enumerate(f): data = json.loads(row) data["Idx"] = uid yield uid, data