Datasets:
Tasks:
Text Classification
Languages:
Russian
Multilinguality:
monolingual
Size Categories:
n<1K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
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 | |
| """Stance prediction for Russian: data and analysis""" | |
| import csv | |
| import os | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _CITATION = """\ | |
| @inproceedings{lozhnikov2018stance, | |
| title={Stance prediction for Russian: data and analysis}, | |
| author={Lozhnikov, Nikita and Derczynski, Leon and Mazzara, Manuel}, | |
| booktitle={International Conference in Software Engineering for Defence Applications}, | |
| pages={176--186}, | |
| year={2018}, | |
| organization={Springer} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| This is a stance prediction dataset in Russian. The dataset contains comments on news articles, | |
| and rows are a comment, the title of the news article it responds to, and the stance of the comment | |
| towards the article. | |
| """ | |
| _URL = "rustance_dataset.csv" | |
| class RuStanceConfig(datasets.BuilderConfig): | |
| """BuilderConfig for RuStance""" | |
| def __init__(self, **kwargs): | |
| """BuilderConfig RuStance. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(RuStanceConfig, self).__init__(**kwargs) | |
| class RuStance(datasets.GeneratorBasedBuilder): | |
| """RuStance dataset.""" | |
| BUILDER_CONFIGS = [ | |
| RuStanceConfig(name="rustance", version=datasets.Version("1.0.0"), description="Stance dataset in Russian"), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "text": datasets.Value("string"), | |
| "title": datasets.Value("string"), | |
| "stance": datasets.features.ClassLabel( | |
| names=[ | |
| "support", | |
| "deny", | |
| "query", | |
| "comment", | |
| ] | |
| ) | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage="https://link.springer.com/chapter/10.1007/978-3-030-14687-0_16", | |
| 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-8") as f: | |
| rustance_reader = csv.DictReader(f, delimiter=";", quotechar='"') | |
| guid = 0 | |
| for instance in rustance_reader: | |
| instance["id"] = str(guid) | |
| if instance['Stance'] == "s": | |
| instance['Stance'] = "support" | |
| elif instance['Stance'] == "d": | |
| instance['Stance'] = "deny" | |
| elif instance['Stance'] == "q": | |
| instance['Stance'] = "query" | |
| elif instance['Stance'] == "c": | |
| instance['Stance'] = "comment" | |
| instance["text"] = instance.pop("Text") | |
| instance["title"] = instance.pop("Title") | |
| instance["stance"] = instance.pop("Stance") | |
| yield guid, instance | |
| guid += 1 | |