"""Maroon Indonesian 100k Summarization Dataset.""" import json import os import datasets _DESCRIPTION = """\ Combine IndoSum + Liputan6 in 100k rows. """ _URL = "https://huggingface.co/datasets/bgspaditya/maroon100k/blob/main/maroondata.tar.bz2" class Maroon100k(datasets.GeneratorBasedBuilder): VERSION = datasets.Version("2.0.0") BUILDER_CONFIGS = [ datasets.BuilderConfig( name="Maroon100k", version=datasets.Version("2.0.0") ) ] def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "article": datasets.Value("string"), "summary": datasets.Value("string"), } ), supervised_keys=None, # citation=_CITATION, # license=_LICENSE, version=self.VERSION, ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" url = _URL data_dir = dl_manager.download_and_extract(url) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "filepath": os.path.join(data_dir, "train.jsonl"), }, ), datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ "filepath": os.path.join(data_dir, "test.jsonl"), }, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ "filepath": os.path.join(data_dir, "valid.jsonl"), }, ), ] def _generate_examples(self, filepath): """Yields examples as (key, example) tuples.""" with open(filepath, encoding="utf-8") as f: for idx_, row in enumerate(f): data = json.loads(row) yield idx_, { "article": data["article"], "summary": data["summary"], }