import datasets import json import os import sys dl = datasets.DownloadManager() configs_file = dl.download('https://huggingface.co/datasets/RealTimeData/bbc_alltime/raw/main/configs.txt') with open(configs_file, encoding="utf-8") as f: _TIMES = f.read().splitlines() _CITATION = """\ @misc{li2023estimating, title={Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation}, author={Yucheng Li}, year={2023}, eprint={2309.10677}, archivePrefix={arXiv}, primaryClass={cs.CL} } """ _DESCRIPTION = """\ This dataset contains BBC News articles from 2017 to 2022. The articles are arraged by month. Access the specific month by using the format "YYYY-MM" as config. Such as load_dataset("RealTimeData/bbc_alltime", "2021-1"). """ _HOMEPAGE = "https://github.com/liyucheng09/Contamination_Detector" class Bbc_alltimes(datasets.GeneratorBasedBuilder): BUILDER_CONFIGS = [ datasets.BuilderConfig( name=time, version=datasets.Version("1.0.0"), description=f"BBC News articles published in the priod of {time}" ) for time in _TIMES ] def _info(self): features = datasets.Features( { "title": datasets.Value("string"), "published_date": datasets.Value("string"), "authors": datasets.Value("string"), "description": datasets.Value("string"), "section": datasets.Value("string"), "content": datasets.Value("string"), "link": datasets.Value("string"), } ) return datasets.DatasetInfo( description=_DESCRIPTION, features=features, homepage=_HOMEPAGE, citation=_CITATION, ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" if self.config.name == "all": times = _TIMES[:-1] files = dl_manager.download([f"articles/{time}.json" for time in _TIMES ]) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={"files": files}, ) ] else: time = self.config.name _URL = f"articles/{time}.json" file = dl_manager.download(_URL) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={"files": file}, ) ] def _generate_examples(self, files): """Yields examples.""" if self.config.name == "all": assert isinstance(files, list) for file in files: time = file.strip('.json') with open(file, encoding="utf-8") as f: data = json.load(f) length = len(data['title']) for i in range(length): yield f'{time}-{i}', { "title": data['title'][i], "published_date": data['published_date'][i], "authors": data['authors'][i], "description": data['description'][i], "section": data['section'][i], "content": data['content'][i], "link": data['link'][i], } else: assert isinstance(files, str) time = self.config.name with open(files, encoding="utf-8") as f: data = json.load(f) length = len(data['title']) for i in range(length): yield f'{time}-{i}', { "title": data['title'][i], "published_date": data['published_date'][i], "authors": data['authors'][i], "description": data['description'][i], "section": data['section'][i], "content": data['content'][i], "link": data['link'][i], }