import os import datasets _DESCRIPTION = """\ General Corpora for the Maltese language. """ _HOMEPAGE = "https://mlrs.research.um.edu.mt/" _URL = "data/" _SHUFFLED_URL = { "train": os.path.join(_URL, "shuffled/train.txt"), "validation": os.path.join(_URL, "shuffled/validation.txt"), "test": os.path.join(_URL, "shuffled/test.txt"), } class KorpusMalti(datasets.GeneratorBasedBuilder): """Korpus Malti: General Corpora for the Maltese Language""" VERSION = datasets.Version("4.0.0") DEFAULT_CONFIG_NAME = "shuffled" BUILDER_CONFIGS = [ datasets.BuilderConfig(name=DEFAULT_CONFIG_NAME, version=VERSION, description="The shuffled data from all subsets.", ), ] def _info(self): if self.config.name == self.DEFAULT_CONFIG_NAME: features = { "text": datasets.Value("string"), } return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features(features), homepage=_HOMEPAGE, ) def _split_generators(self, dl_manager): if self.config.name == self.DEFAULT_CONFIG_NAME: data_files = dl_manager.download_and_extract(_SHUFFLED_URL) data_split = [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "filepath": data_files["train"], }, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ "filepath": data_files["validation"], }, ), datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ "filepath": data_files["test"], }, ), ] return data_split def _generate_examples(self, filepath): if self.config.name == self.DEFAULT_CONFIG_NAME: with open(filepath, encoding="utf-8") as file: for key, line in enumerate(file): if len(line) > 0: yield key, { "text": line, }