| import datasets |
| import json |
|
|
| _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 Wikipedia articles of 419 selected pages 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/wikitext_alltime", "2021-1"). |
| """ |
|
|
| _HOMEPAGE = "https://github.com/liyucheng09/Contamination_Detector" |
|
|
| _TIMES = ["2017-10", "2017-11", "2017-12", "2017-1", "2017-2", "2017-3", "2017-4", "2017-5", "2017-6", "2017-7", "2017-8", "2017-9", "2018-10", "2018-11", "2018-12", "2018-1", "2018-2", "2018-3", "2018-4", "2018-5", "2018-6", "2018-7", "2018-8", "2018-9", "2019-10", "2019-11", "2019-12", "2019-1", "2019-2", "2019-3", "2019-4", "2019-5", "2019-6", "2019-7", "2019-8", "2019-9", "2020-10", "2020-11", "2020-12", "2020-1", "2020-2", "2020-3", "2020-4", "2020-5", "2020-6", "2020-7", "2020-8", "2020-9", "2021-10", "2021-11", "2021-12", "2021-1", "2021-2", "2021-3", "2021-4", "2021-5", "2021-6", "2021-7", "2021-8", "2021-9", "2022-10", "2022-11", "2022-12", "2022-1", "2022-2", "2022-3", "2022-4", "2022-5", "2022-6", "2022-7", "2022-8", "2022-9", "all"] |
|
|
|
|
| class Wikitext_alltimes(datasets.GeneratorBasedBuilder): |
|
|
| BUILDER_CONFIGS = [ |
| datasets.BuilderConfig( |
| name=time, version=datasets.Version("1.0.0"), description=f"419 selected wikipedia articles edited in the priod of {time}" |
| ) |
| for time in _TIMES |
| ] |
|
|
| def _info(self): |
| features = datasets.Features( |
| { |
| "title": datasets.Value("string"), |
| "pageid": datasets.Value("int64"), |
| "text": 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_and_extract('all_articles.zip') |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={"files": files}, |
| ) |
| ] |
| else: |
| time = self.config.name |
| _URL = f"wiki/{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) |
| for title, article in data.items(): |
| yield f'{time}-{title}', { |
| "title": article['title'], |
| "pageid": article['pageid'], |
| "text": article['text'], |
| } |
| else: |
| assert isinstance(files, str) |
| time = self.config.name |
| with open(files, encoding="utf-8") as f: |
| data = json.load(f) |
| for title, article in data.items(): |
| yield f'{time}-{title}', { |
| "title": article['title'], |
| "pageid": article['pageid'], |
| "text": article['text'], |
| } |
