Convert dataset to Parquet (#2)

- Convert dataset to Parquet (c90b8a6dcf83d94ffb51343631fb9306f92b8844)
- Delete loading script (b38f4eb4b3a03f95a261e507f1a85459e627a96d)
- Delete data folder (e9c641105f2b8ee783aee0751d29917c02766de9)

README.md

@@ -1,5 +1,4 @@
 ---
-pretty_name: CC-News
 annotations_creators:
 - no-annotation
 language_creators:
@@ -21,7 +20,9 @@ task_ids:
 - language-modeling
 - masked-language-modeling
 paperswithcode_id: cc-news
+pretty_name: CC-News
 dataset_info:
+  config_name: plain_text
   features:
   - name: title
     dtype: string
@@ -37,13 +38,18 @@ dataset_info:
     dtype: string
   - name: image_url
     dtype: string
-  config_name: plain_text
   splits:
   - name: train
-    num_bytes: 2016418133
+    num_bytes: 2016416145
     num_examples: 708241
-  download_size: 845131146
-  dataset_size: 2016418133
+  download_size: 1122805586
+  dataset_size: 2016416145
+configs:
+- config_name: plain_text
+  data_files:
+  - split: train
+    path: plain_text/train-*
+  default: true
 ---
 
 # Dataset Card for CC-News

cc_news.py

@@ -1,114 +0,0 @@
-# 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
-from fnmatch import fnmatch
-
-import datasets
-
-
-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 = "data/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",
-        )
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "title": datasets.Value("string"),
-                    "text": datasets.Value("string"),
-                    "domain": datasets.Value("string"),
-                    "date": datasets.Value("string"),
-                    "description": datasets.Value("string"),
-                    "url": datasets.Value("string"),
-                    "image_url": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_PROJECT_URL,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        archive = dl_manager.download(_DOWNLOAD_URL)
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"files": dl_manager.iter_archive(archive)}),
-        ]
-
-    def _generate_examples(self, files):
-        id_ = 0
-        for article_file_path, f in files:
-            if fnmatch(os.path.basename(article_file_path), "*.json"):
-                article = json.load(f)
-                yield id_, {
-                    "title": article["title"].strip() if article["title"] is not None else "",
-                    "text": article["maintext"].strip() if article["maintext"] is not None else "",
-                    "domain": article["source_domain"].strip() if article["source_domain"] is not None else "",
-                    "date": article["date_publish"].strip() if article["date_publish"] is not None else "",
-                    "description": article["description"].strip() if article["description"] is not None else "",
-                    "url": article["url"].strip() if article["url"] is not None else "",
-                    "image_url": article["image_url"].strip() if article["image_url"] is not None else "",
-                }
-                id_ += 1

data/cc_news.tar.gz → plain_text/train-00000-of-00005.parquet

@@ -1,3 +1,3 @@
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-size 845131146
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+size 211044294

plain_text/train-00001-of-00005.parquet

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plain_text/train-00002-of-00005.parquet

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plain_text/train-00003-of-00005.parquet

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plain_text/train-00004-of-00005.parquet

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