Datasets:
Tasks:
Translation
Multilinguality:
multilingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
DOI:
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 | |
| """Faroese-Danish parallel corpus from ITU Copenhagen""" | |
| import os | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _CITATION = """\ | |
| """ | |
| _DESCRIPTION = """\ | |
| """ | |
| _URL = "itu_fo_da_monolithic.tsv" | |
| class ItuFaroeseDanishConfig(datasets.BuilderConfig): | |
| """BuilderConfig for ItuFaroeseDanish""" | |
| def __init__(self, **kwargs): | |
| """BuilderConfig ItuFaroeseDanish. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(ItuFaroeseDanishConfig, self).__init__(**kwargs) | |
| class ItuFaroeseDanish(datasets.GeneratorBasedBuilder): | |
| """ItuFaroeseDanish dataset.""" | |
| BUILDER_CONFIGS = [ | |
| ItuFaroeseDanishConfig(name="ItuFaroeseDanish", version=datasets.Version("1.0.0"), description="Faroese-Danish parallel text from ITU Copenhagen"), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "origin": datasets.Value("string"), | |
| "fo": datasets.Value("string"), | |
| "da": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage="", | |
| 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) | |
| texts = {"fao":{}, "dan":{}} | |
| with open(filepath, encoding="utf-8") as f: | |
| for line in f: | |
| line = line.strip() | |
| if line: | |
| code, text = line.split("\t") | |
| origin, language = code.split("_") | |
| texts[language][origin] = text | |
| if texts["fao"].keys() != texts["dan"].keys(): | |
| raise ValueError("Faroese and Danish keys don't match") | |
| guid = 0 | |
| for origin in texts["fao"]: | |
| yield guid, { | |
| "id": str(guid), | |
| "origin": origin, | |
| "fo": texts["fao"][origin], | |
| "da": texts["dan"][origin], | |
| } | |
| guid += 1 | |