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import json |
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import os |
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from fnmatch import fnmatch |
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import datasets |
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from typing import Dict, List, Optional, Union, Callable |
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import textwrap |
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import gzip |
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logger = datasets.logging.get_logger(__name__) |
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_CC_NEWS_PT_KWARGS = dict( |
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name = "cc_news_pt", |
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description=textwrap.dedent( |
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"""\ |
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CC-News-PT is a curation of news articles from CommonCrawl News in the Portuguese language. |
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CommonCrawl News is a dataset containing news articles from news sites all over the world |
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The data is available on AWS S3 in the Common Crawl bucket at /crawl-data/CC-NEWS/. |
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This version of the dataset is the portuguese subset from |
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https://huggingface.co/datasets/CloverSearch/cc-news-mutlilingual""" |
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), |
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data_urls=[ |
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'https://huggingface.co/datasets/CloverSearch/cc-news-mutlilingual/resolve/main/2016/pt.jsonl.gz', |
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], |
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citation=textwrap.dedent( |
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"""\ |
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@misc{Acerola2023, |
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author = {Garcia, E.A.S.}, |
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title = {Acerola Corpus: Towards Better Portuguese Language Models}, |
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year = {2023}, |
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doi = {10.57967/hf/0814} |
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}""" |
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), |
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url="https://huggingface.co/datasets/eduagarcia/cc_news_pt", |
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) |
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class AcerolaConfig(datasets.BuilderConfig): |
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"""BuilderConfig for Acerola.""" |
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def __init__( |
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self, |
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data_urls: Dict[str, str], |
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citation: str, |
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url: str, |
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file_type: Optional[str] = None, |
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**kwargs |
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): |
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"""BuilderConfig for Acerola. |
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Args: |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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super(AcerolaConfig, self).__init__(version=datasets.Version("1.0.3", ""), **kwargs) |
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self.data_urls = data_urls |
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self.citation = citation |
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self.url = url |
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self.file_type = file_type |
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def _get_ccnews_features(config: AcerolaConfig): |
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return datasets.Features( |
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{ |
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"title": datasets.Value("string"), |
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"text": datasets.Value("string"), |
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"authors": datasets.Value("string"), |
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"domain": datasets.Value("string"), |
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"date": datasets.Value("string"), |
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"description": datasets.Value("string"), |
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"url": datasets.Value("string"), |
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"image_url": datasets.Value("string"), |
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"date_download": datasets.Value("string") |
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} |
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) |
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class Acerola(datasets.GeneratorBasedBuilder): |
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"""CC-News dataset.""" |
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BUILDER_CONFIGS = [ |
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AcerolaConfig( |
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**_CC_NEWS_PT_KWARGS |
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) |
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] |
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def _info(self) -> datasets.DatasetInfo: |
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features = _get_ccnews_features(self.config) |
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return datasets.DatasetInfo( |
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description=self.config.description, |
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homepage=self.config.url, |
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citation=self.config.citation, |
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supervised_keys=None, |
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features=features |
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) |
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def _split_generators(self, dl_manager): |
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data_urls = self.config.data_urls.copy() |
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filepaths = dl_manager.download(data_urls) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": filepaths}), |
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] |
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def _generate_examples(self, filepaths): |
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id_ = 0 |
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for filepath in filepaths: |
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with gzip.open(filepath, "rt", encoding="utf-8") as f: |
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for line in f: |
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if line: |
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article = json.loads(line) |
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yield id_, { |
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"title": article["title"].strip() if article["title"] is not None else "", |
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"text": article["maintext"].strip() if article["maintext"] is not None else "", |
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"authors": "; ".join([a.strip() for a in article["authors"]]) if len(article["authors"]) > 0 else "", |
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"domain": article["source_domain"].strip() if article["source_domain"] is not None else "", |
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"date": article["date_publish"].strip() if article["date_publish"] is not None else "", |
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"description": article["description"].strip() if article["description"] is not None else "", |
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"url": article["url"].strip() if article["url"] is not None else "", |
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"image_url": article["image_url"].strip() if article["image_url"] is not None else "", |
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"date_download": article["date_download"].strip() if article["date_download"] is not None else "", |
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} |
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id_ += 1 |
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