Datasets:
Languages:
Indonesian
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
Tags:
License:
# coding=utf-8 | |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. | |
# | |
# 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. | |
"""Indonesian Newspapers 2018""" | |
import json | |
import datasets | |
logger = datasets.logging.get_logger(__name__) | |
_CITATION = """\ | |
@inproceedings{id_newspapers_2018, | |
author = {}, | |
title = {Indonesian Newspapers 2018}, | |
year = {2019}, | |
url = {https://github.com/feryandi/Dataset-Artikel}, | |
} | |
""" | |
_DESCRIPTION = """\ | |
The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers: Detik, Kompas, Tempo, | |
CNN Indonesia, Sindo, Republika and Poskota. The articles are dated between 1st January 2018 and 20th August 2018 | |
(with few exceptions dated earlier). The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB, | |
and the cleaned uncompressed in a big text file (newspapers.txt.gz) is about 1GB. The original source in Google Drive | |
contains also a dataset in html format which include raw data (pictures, css, javascript, ...) | |
from the online news website | |
""" | |
_HOMEPAGE = "https://github.com/feryandi/Dataset-Artikel" | |
_LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International Public License" | |
_URL = "http://cloud.uncool.ai/index.php/s/kF83dQHfGeS2LX2/download" | |
class IdNewspapers2018Config(datasets.BuilderConfig): | |
"""BuilderConfig for IdNewspapers2018""" | |
def __init__(self, **kwargs): | |
"""BuilderConfig for IdNewspapers2018. | |
Args: | |
**kwargs: keyword arguments forwarded to super. | |
""" | |
super(IdNewspapers2018Config, self).__init__(**kwargs) | |
class IdNewspapers2018(datasets.GeneratorBasedBuilder): | |
VERSION = datasets.Version("1.0.0") | |
BUILDER_CONFIGS = [ | |
IdNewspapers2018Config( | |
name="id_newspapers_2018", | |
version=VERSION, | |
description="IdNewspapers2018 dataset", | |
), | |
] | |
def _info(self): | |
features = datasets.Features( | |
{ | |
"id": datasets.Value("string"), | |
"url": datasets.Value("string"), | |
"date": datasets.Value("string"), | |
"title": datasets.Value("string"), | |
"content": datasets.Value("string"), | |
} | |
) | |
return datasets.DatasetInfo( | |
description=_DESCRIPTION, | |
features=features, | |
supervised_keys=None, | |
homepage=_HOMEPAGE, | |
license=_LICENSE, | |
citation=_CITATION, | |
) | |
def _split_generators(self, dl_manager): | |
archive = dl_manager.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 path, f in files: | |
if path.startswith("newspapers") and path.endswith(".json"): | |
data = json.loads(f.read().decode("utf-8")) | |
yield id, { | |
"id": str(id), | |
"url": data["url"], | |
"date": data["date"], | |
"title": data["title"], | |
"content": data["content"], | |
} | |
id += 1 | |