Datasets:
Languages:
Spanish
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
cc-news
License:
| # coding=utf-8 | |
| # Copyright 2020 The TensorFlow Datasets Authors and the 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 | |
| """CC-NEWS-ES-titles: Title generation from CC-NEWS in Spanish.""" | |
| import json | |
| import datasets | |
| from datasets.tasks import Summarization | |
| logger = datasets.logging.get_logger(__name__) | |
| _CITATION = """ """ | |
| _DESCRIPTION = "" | |
| _HOMEPAGE = "" | |
| _LICENSE = "" | |
| _URL = "https://huggingface.co/datasets/LeoCordoba/CC-NEWS-ES-titles/resolve/main/" | |
| _URLS = { | |
| "train": _URL + "train.jsonl", | |
| "test": _URL + "test.jsonl", | |
| "eval": _URL + "eval.jsonl" | |
| } | |
| class CCNewsESTitlesConfig(datasets.BuilderConfig): | |
| """BuilderConfig for CCNewsESTitles.""" | |
| def __init__(self, **kwargs): | |
| """BuilderConfig for CCNewsESTitles. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(CCNewsESTitlesConfig, self).__init__(**kwargs) | |
| class CCNewsESTitles(datasets.GeneratorBasedBuilder): | |
| """Title generation dataset in Spanish from CC-NEWS""" | |
| VERSION = datasets.Version("1.0.0") | |
| BUILDER_CONFIGS = [ | |
| CCNewsESTitlesConfig( | |
| ), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| "output_text": datasets.Value("string") | |
| } | |
| ), | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| train = dl_manager.download_and_extract(_URLS["train"]) | |
| eval_ = dl_manager.download_and_extract(_URLS["eval"]) | |
| test = dl_manager.download_and_extract(_URLS["test"]) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train}), | |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": eval_}), | |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test}) | |
| ] | |
| def _generate_examples(self, filepath): | |
| logger.info("generating examples from = %s", filepath) | |
| data = [] | |
| with open(filepath) as f: | |
| for line in f: | |
| data.append(json.loads(line)) | |
| for idx, obs in enumerate(data): | |
| yield idx, obs |