Datasets:
Tasks:
Text Classification
Sub-tasks:
fact-checking
Languages:
Arabic
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
License:
| # Copyright 2022 Mads Kongsbak and Leon Derczynski | |
| # | |
| # 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. | |
| """A DataLoader for the AraStance dataset.""" | |
| import csv | |
| import json | |
| import os | |
| import datasets | |
| _CITATION = """\ | |
| @article{arastance, | |
| url = {https://arxiv.org/abs/2104.13559}, | |
| author = {Alhindi, Tariq and Alabdulkarim, Amal and Alshehri, Ali and Abdul-Mageed, Muhammad and Nakov, Preslav}, | |
| title = {AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking}, | |
| year = {2021}, | |
| copyright = {Creative Commons Attribution 4.0 International} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| The AraStance dataset contains true and false claims, where each claim is paired with one or more documents. Each claim–article pair has a stance label: agree, disagree, discuss, or unrelated. | |
| """ | |
| _HOMEPAGE = "https://github.com/Tariq60/arastance" | |
| _LICENSE = "cc-by-4.0" | |
| class ARAStanceConfig(datasets.BuilderConfig): | |
| def __init__(self, **kwargs): | |
| super(ARAStanceConfig, self).__init__(**kwargs) | |
| class ARAStance(datasets.GeneratorBasedBuilder): | |
| """The AraStance dataset made in triples of (claim, article, stance)""" | |
| VERSION = datasets.Version("1.0.0") | |
| BUILDER_CONFIGS = [ | |
| ARAStanceConfig(name="stance", version=VERSION, description=""), | |
| ] | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "claim": datasets.Value("string"), | |
| "article": datasets.Value("string"), | |
| "stance": datasets.features.ClassLabel( | |
| names=[ | |
| "Agree", | |
| "Disagree", | |
| "Discuss", | |
| "Unrelated", | |
| ] | |
| ) | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| train_text = dl_manager.download_and_extract("arastance_train.csv") | |
| valid_text = dl_manager.download_and_extract("arastance_valid.csv") | |
| test_text = dl_manager.download_and_extract("arastance_test.csv") | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_text, "split": "train"}), | |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": valid_text, "split": "validation"}), | |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_text, "split": "test"}), | |
| ] | |
| def _generate_examples(self, filepath, split): | |
| with open(filepath, encoding="utf-8") as f: | |
| reader = csv.DictReader(f, delimiter=",") | |
| guid = 0 | |
| for instance in reader: | |
| instance["claim"] = instance.pop("claim") | |
| instance["article"] = instance.pop("article") | |
| instance["stance"] = instance.pop("stance") | |
| instance['id'] = str(guid) | |
| yield guid, instance | |
| guid += 1 |