| import datasets |
| import zipfile |
| import urllib.request |
| import os |
|
|
|
|
| logger = datasets.logging.get_logger(__name__) |
|
|
|
|
| _DESCRIPTION = """\ |
| A colossal, cleaned version of Common Crawl's web crawl corpus. |
| Based on Common Crawl dataset: "https://commoncrawl.org". |
| This is the processed version of Google's mC4 dataset by AllenAI. |
| """ |
|
|
| _CITATION = """ |
| @article{2019t5, |
| author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu}, |
| title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer}, |
| journal = {arXiv e-prints}, |
| year = {2019}, |
| archivePrefix = {arXiv}, |
| eprint = {1910.10683}, |
| } |
| """ |
|
|
| _URL = "https://linghub.ru/static/Taiga/news.zip" |
|
|
| _DATA_URL = "https://linghub.ru/static/Taiga/news.zip" |
|
|
|
|
| class TaigaConfig(datasets.BuilderConfig): |
| """BuilderConfig for mC4.""" |
|
|
| def __init__(self, *args, **kwargs): |
| """BuilderConfig for mC4. |
| Args: |
| languages (:obj:`List[str]`): list of languages to load |
| **kwargs: keyword arguments forwarded to super. |
| """ |
| super().__init__( |
| *args, |
| name="taiga", |
| **kwargs, |
| ) |
|
|
|
|
| class Taiga(datasets.GeneratorBasedBuilder): |
| """mC4, a colossal, cleaned version of Common Crawl's web crawl corpus.""" |
|
|
| BUILDER_CONFIGS = [TaigaConfig()] |
| BUILDER_CONFIG_CLASS = TaigaConfig |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features( |
| { |
| "text": datasets.Value("string"), |
| } |
| ), |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| downloaded_file = dl_manager.download(['proza_ru2.zip', 'stihi_ru.zip', 'proza_ru1.zip']) |
| return [ |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_file}), |
| ] |
|
|
| def _generate_examples(self, filepaths): |
| """This function returns the examples in the raw (text) form by iterating on all the files.""" |
| id_ = 0 |
| for filepath in filepaths: |
| logger.info("generating examples from = %s", filepath) |
| with zipfile.ZipFile(filepath) as z: |
| for filename in z.namelist(): |
| if not os.path.isdir(filename) and '.txt' in filename.split('/') and len(filename.split('/')) > 2: |
| |
| with z.open(filename) as f: |
| txt = f.read().decode('utf-8') |
| yield id_, {'text': txt} |
| id_ += 1 |
|
|
