Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-analysis
Languages:
Danish
Multilinguality:
monolingual
Size Categories:
n<1K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
License:
| # coding=utf-8 | |
| # Copyright 2020 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 | |
| """Political Stance in Danish""" | |
| import csv | |
| import os | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _CITATION = """\ | |
| @inproceedings{lehmann2019political, | |
| title={Political Stance in Danish}, | |
| author={Lehmann, Rasmus and Derczynski, Leon}, | |
| booktitle={Proceedings of the 22nd Nordic Conference on Computational Linguistics}, | |
| pages={197--207}, | |
| year={2019} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| Political stance in Danish. Examples represent statements by | |
| politicians and are annotated for, against, or neutral to a given topic/article. | |
| """ | |
| _URL = "https://raw.githubusercontent.com/StrombergNLP/Political-Stance-in-Danish/master/Scraper/resources/parsedQuotes/quote_db.csv" | |
| class PolStanceConfig(datasets.BuilderConfig): | |
| """BuilderConfig for PolStance""" | |
| def __init__(self, **kwargs): | |
| """BuilderConfig PolStance. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(PolStanceConfig, self).__init__(**kwargs) | |
| class PolStance(datasets.GeneratorBasedBuilder): | |
| """PolStance dataset.""" | |
| BUILDER_CONFIGS = [ | |
| PolStanceConfig(name="PolStance", version=datasets.Version("1.0.0"), description="Political Stance in Danish"), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| # quoteID;party;politician;date;quote;falsePositive;subTopic;fan;articleID;topic | |
| { | |
| "id": datasets.Value("string"), | |
| "topic": datasets.Value("string"), | |
| "quote": datasets.Value("string"), | |
| "label": datasets.features.ClassLabel( | |
| names=["a", "n", "f"] | |
| ), | |
| "quoteID": datasets.Value("string"), | |
| "party": datasets.Value("string"), | |
| "politician": datasets.Value("string"), | |
| "quoteID": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage="https://stromberg.ai/publication/politicalstanceindanish/", | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| downloaded_file = dl_manager.download_and_extract(_URL) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file}), | |
| ] | |
| def _generate_examples(self, filepath): | |
| logger.info("⏳ Generating examples from = %s", filepath) | |
| with open(filepath, encoding="utf-16") as f: | |
| PolStance_reader = csv.DictReader(f, delimiter=";", quotechar='"') | |
| guid = 0 | |
| for instance in PolStance_reader: | |
| if not instance["fan"]: | |
| continue | |
| instance["topic"] = instance["topic"].rstrip() | |
| instance["id"] = str(guid) | |
| instance["label"] = instance.pop("fan") | |
| for dropfield in ('falsePositive', 'subTopic', 'date', 'articleID'): | |
| instance.pop(dropfield) | |
| yield guid, instance | |
| guid += 1 | |