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| # 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. | |
| """HuffPost Dataset.""" | |
| import csv | |
| import json | |
| import os | |
| import datasets | |
| _CITATION = """\ | |
| @book{book, | |
| author = {Misra, Rishabh and Grover, Jigyasa}, | |
| year = {2021}, | |
| month = {01}, | |
| pages = {}, | |
| title = {Sculpting Data for ML: The first act of Machine Learning}, | |
| isbn = {978-0-578-83125-1} | |
| } | |
| @dataset{dataset, | |
| author = {Misra, Rishabh}, | |
| year = {2018}, | |
| month = {06}, | |
| pages = {}, | |
| title = {News Category Dataset}, | |
| doi = {10.13140/RG.2.2.20331.18729} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| A dataset of approximately 200K news headlines from the year 2012 to 2018 collected from HuffPost.""" | |
| _HOMEPAGE = "https://www.kaggle.com/datasets/rmisra/news-category-dataset" | |
| _LICENSE = "CC0: Public Domain" | |
| _URLS = "https://huggingface.co/datasets/khalidalt/HuffPost/resolve/main/News_Category_Dataset_v2.json" | |
| class HuffPost(datasets.GeneratorBasedBuilder): | |
| """HuffPost Dataset.""" | |
| VERSION = datasets.Version("1.1.0") | |
| # This is an example of a dataset with multiple configurations. | |
| # If you don't want/need to define several sub-sets in your dataset, | |
| # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes. | |
| # If you need to make complex sub-parts in the datasets with configurable options | |
| # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig | |
| # BUILDER_CONFIG_CLASS = MyBuilderConfig | |
| # You will be able to load one or the other configurations in the following list with | |
| # data = datasets.load_dataset('my_dataset', 'first_domain') | |
| # data = datasets.load_dataset('my_dataset', 'second_domain') | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig(name="default", version=VERSION, description="Default config"), | |
| ] | |
| DEFAULT_CONFIG_NAME = "default" | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "category": datasets.Value("string"), | |
| "headline": datasets.Value("string"), | |
| "authors": datasets.Value("string"), | |
| "link": datasets.Value("string"), | |
| "short_description": datasets.Value("string"), | |
| "date": datasets.Value("string"), | |
| "label": datasets.ClassLabel(names=["POLITICS","WELLNESS","ENTERTAINMENT","TRAVEL","STYLE & BEAUTY", | |
| "PARENTING","HEALTHY LIVING","QUEER VOICES","FOOD & DRINK", | |
| "BUSINESS","COMEDY","SPORTS","BLACK VOICES","HOME & LIVING","PARENTS", | |
| "THE WORLDPOST","WEDDINGS","WOMEN","IMPACT","DIVORCE","CRIME","MEDIA", | |
| "WEIRD NEWS","GREEN","WORLDPOST","RELIGION","STYLE","SCIENCE", | |
| "WORLD NEWS","TASTE","TECH","MONEY","ARTS","FIFTY","GOOD NEWS", | |
| "ARTS & CULTURE","ENVIRONMENT","COLLEGE","LATINO VOICES","CULTURE & ARTS", | |
| "EDUCATION"]), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| homepage=_HOMEPAGE, | |
| # License for the dataset if available | |
| license=_LICENSE, | |
| # Citation for the dataset | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| data_dir = dl_manager.download_and_extract(_URLS) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={"filepath": data_dir}, | |
| ), | |
| ] | |
| # method parameters are unpacked from `gen_kwargs` as given in `_split_generators` | |
| def _generate_examples(self, filepath): | |
| with open(filepath, encoding="utf-8") as f: | |
| for key, row in enumerate(f): | |
| data = json.loads(row) | |
| data['label'] = data['category'] | |
| # Yields examples as (key, example) tuples | |
| yield key, data | |