Update parquet files

ccnews_split.py

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-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Lint as: python3
-"""The CC-News dataset is based on Common Crawl News Dataset by Sebastian Nagel"""
-
-import json
-import os
-import tarfile
-from fnmatch import fnmatch
-
-import datasets
-
-def custom_iter_archive(path_or_buf, _filter=lambda x: True):
-    def _iter_archive(f):
-        stream = tarfile.open(fileobj=f, mode="r|*")
-        for i, tarinfo in enumerate(stream):
-            if not _filter(i):
-                continue
-            file_path = tarinfo.name
-            if not tarinfo.isreg():
-                continue
-            if file_path is None:
-                continue
-            if os.path.basename(file_path).startswith(".") or os.path.basename(file_path).startswith("__"):
-                # skipping hidden files
-                continue
-            file_obj = stream.extractfile(tarinfo)
-            yield file_path, file_obj
-            stream.members = []
-        del stream
-
-    if hasattr(path_or_buf, "read"):
-        yield from _iter_archive(path_or_buf)
-    else:
-        with open(path_or_buf, "rb") as f:
-            yield from _iter_archive(f)
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_DESCRIPTION = """\
-CC-News containing news articles from news sites all over the world \
-The data is available on AWS S3 in the Common Crawl bucket at /crawl-data/CC-NEWS/. \
-This version of the dataset has 708241 articles. It represents a small portion of English  \
-language subset of the CC-News dataset created using news-please(Hamborg et al.,2017) to \
-collect and extract English language portion of CC-News.
-"""
-
-_CITATION = """\
-@InProceedings{Hamborg2017,
-  author     = {Hamborg, Felix and Meuschke, Norman and Breitinger, Corinna and Gipp, Bela},
-  title      = {news-please: A Generic News Crawler and Extractor},
-  year       = {2017},
-  booktitle  = {Proceedings of the 15th International Symposium of Information Science},
-  location   = {Berlin},
-  doi        = {10.5281/zenodo.4120316},
-  pages      = {218--223},
-  month      = {March}
-}
-"""
-_PROJECT_URL = "https://commoncrawl.org/2016/10/news-dataset-available/"
-_DOWNLOAD_URL = "https://storage.googleapis.com/huggingface-nlp/datasets/cc_news/cc_news.tar.gz"
-
-
-class CCNewsConfig(datasets.BuilderConfig):
-    """BuilderConfig for CCNews."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for CCNews.
-        Args:
-        **kwargs: keyword arguments forwarded to super.
-        """
-        super(CCNewsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
-
-
-class CCNews(datasets.GeneratorBasedBuilder):
-    """CC-News dataset."""
-
-    BUILDER_CONFIGS = [
-        CCNewsConfig(
-            name="plain_text",
-            description="Plain text",
-        ),
-        CCNewsConfig(
-            name="plain_text_sentences",
-            description="Plain text (sentence level)",
-        )
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_PROJECT_URL,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        archive = dl_manager.download(_DOWNLOAD_URL)
-        
-        train_filter = lambda x : (x%10) < 8
-        val_filter = lambda x: (x%10) == 8
-        test_filter = lambda x: (x%10) == 9
-        
-        level = "doc" if self.config.name == "plain_text" else "sentence"
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"files": custom_iter_archive(archive, train_filter), "level": level}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"files": custom_iter_archive(archive, val_filter), "level": level}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"files": custom_iter_archive(archive, test_filter), "level": level}),
-        ]
-
-    def _generate_examples(self, files, level):
-        id_ = 0
-        for article_file_path, f in files:
-            if fnmatch(os.path.basename(article_file_path), "*.json"):
-                article = json.load(f)
-                if level == "sentence":
-                    full_article = article["maintext"].strip() if article["maintext"] is not None else ""
-                    doc_dict = {}
-                    for sent in full_article.split("\n"):
-                        doc_dict["text"] = sent
-                        yield id_, doc_dict
-                        id_ += 1
-                else:
-                    yield id_, {
-                        "text": article["maintext"].strip() if article["maintext"] is not None else "",
-                    }
-                    id_ += 1
-

dataset_infos.json

@@ -1 +0,0 @@
-{"plain_text": {"description": "CC-News containing news articles from news sites all over the world The data is available on AWS S3 in the Common Crawl bucket at /crawl-data/CC-NEWS/. This version of the dataset has 708241 articles. It represents a small portion of English  language subset of the CC-News dataset created using news-please(Hamborg et al.,2017) to collect and extract English language portion of CC-News.\n", "citation": "@InProceedings{Hamborg2017,\n  author     = {Hamborg, Felix and Meuschke, Norman and Breitinger, Corinna and Gipp, Bela},\n  title      = {news-please: A Generic News Crawler and Extractor},\n  year       = {2017},\n  booktitle  = {Proceedings of the 15th International Symposium of Information Science},\n  location   = {Berlin},\n  doi        = {10.5281/zenodo.4120316},\n  pages      = {218--223},\n  month      = {March}\n}\n", "homepage": "https://commoncrawl.org/2016/10/news-dataset-available/", "license": "", "features": {"title": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "domain": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "description": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "image_url": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "cc_news", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1612758128, "num_examples": 566588, "dataset_name": "cc_news"}, "validation": {"name": "validation", "num_bytes": 201224444, "num_examples": 70821, "dataset_name": "cc_news"}, "test": {"name": "test", "num_examples": 70832, "dataset_name": "cc_news", "num_bytes": 202435617}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/cc_news/cc_news.tar.gz": {"num_bytes": 845131146, "checksum": "1aaf8e5af33e3a73472b58afba48c6a839ebc2dd190c4e0754fc00f8899a9cec"}}, "download_size": 845131146, "post_processing_size": null, "dataset_size": 2016418133, "size_in_bytes": 2861549279}}

plain_text/ccnews_split-test.parquet

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