Datasets:
Tasks:
Text Classification
Sub-tasks:
natural-language-inference
Languages:
Croatian
ArXiv:
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. | |
| import json | |
| import os | |
| import datasets | |
| _CITATION = """@article{DBLP:journals/corr/abs-2104-09243, | |
| author = {Nikola Ljubesic and | |
| Davor Lauc}, | |
| title = {BERTi{\'{c}} - The Transformer Language Model for Bosnian, Croatian, | |
| Montenegrin and Serbian}, | |
| journal = {CoRR}, | |
| volume = {abs/2104.09243}, | |
| year = {2021}, | |
| url = {https://arxiv.org/abs/2104.09243}, | |
| archivePrefix = {arXiv}, | |
| }""" | |
| _DESCRIPTION = """The COPA-HR dataset (Choice of plausible alternatives in Croatian) is a translation | |
| of the English COPA dataset (https://people.ict.usc.edu/~gordon/copa.html) by following the | |
| XCOPA dataset translation methodology (https://arxiv.org/abs/2005.00333). The dataset consists of 1000 premises | |
| (My body cast a shadow over the grass), each given a question (What is the cause?), and two choices | |
| (The sun was rising; The grass was cut), with a label encoding which of the choices is more plausible | |
| given the annotator or translator (The sun was rising). | |
| The dataset is split into 400 training samples, 100 validation samples, and 500 test samples. It includes the | |
| following features: 'premise', 'choice1', 'choice2', 'label', 'question', 'changed' (boolean). | |
| """ | |
| _HOMEPAGE = 'https://www.clarin.si/repository/xmlui/handle/11356/1404' | |
| _LICENSE = '' | |
| _URL = 'https://huggingface.co/datasets/classla/copa_hr/raw/main/data.zip' | |
| _TRAINING_FILE = 'train.jsonl' | |
| _DEV_FILE = 'val.jsonl' | |
| _TEST_FILE = 'test.jsonl' | |
| class CopaHr(datasets.GeneratorBasedBuilder): | |
| VERSION = datasets.Version('1.0.0') | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name='copa_hr', | |
| version=VERSION, | |
| description='' | |
| ) | |
| ] | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| 'premise': datasets.Value('string'), | |
| 'choice1': datasets.Value('string'), | |
| 'choice2': datasets.Value('string'), | |
| 'label': datasets.features.ClassLabel(names=['0', '1']), | |
| 'question': datasets.Value('string'), | |
| 'idx': datasets.Value('int64'), | |
| 'changed': datasets.Value('bool') | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| data_dir = dl_manager.download_and_extract(_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, gen_kwargs={ | |
| 'filepath': os.path.join(data_dir, _TRAINING_FILE), | |
| 'split': 'train'} | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, gen_kwargs={ | |
| 'filepath': os.path.join(data_dir, _DEV_FILE), | |
| 'split': 'dev'} | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, gen_kwargs={ | |
| 'filepath': os.path.join(data_dir, _TEST_FILE), | |
| 'split': 'test'} | |
| ), | |
| ] | |
| def _generate_examples(self, filepath, split): | |
| with open(filepath, encoding='utf-8') as f: | |
| for i, line in enumerate(f): | |
| data = json.loads(line) | |
| yield i, { | |
| 'premise': data['premise'], | |
| 'choice1': data['choice1'], | |
| 'choice2': data['choice2'], | |
| 'question': data['question'], | |
| 'label': str(data['label']), | |
| 'idx': data['idx'], | |
| 'changed': data['changed'] | |
| } | |