Datasets:
Languages:
Dutch
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
no-annotation
Tags:
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 | |
| """CNN/Dailymail Dutch summarization dataset.""" | |
| import csv | |
| import datasets | |
| _DESCRIPTION = """\ | |
| This dataset is the CNN/Dailymail dataset translated to Dutch. | |
| This is the original dataset: | |
| ``` | |
| load_dataset("cnn_dailymail", '3.0.0') | |
| ``` | |
| And this is the HuggingFace translation pipeline: | |
| ``` | |
| pipeline( | |
| task='translation_en_to_nl', | |
| model='Helsinki-NLP/opus-mt-en-nl', | |
| tokenizer='Helsinki-NLP/opus-mt-en-nl') | |
| ``` | |
| """ | |
| # The second citation introduces the source data, while the first | |
| # introduces the specific form (non-anonymized) we use here. | |
| _CITATION = """\ | |
| @article{DBLP:journals/corr/SeeLM17, | |
| author = {Abigail See and | |
| Peter J. Liu and | |
| Christopher D. Manning}, | |
| title = {Get To The Point: Summarization with Pointer-Generator Networks}, | |
| journal = {CoRR}, | |
| volume = {abs/1704.04368}, | |
| year = {2017}, | |
| url = {http://arxiv.org/abs/1704.04368}, | |
| archivePrefix = {arXiv}, | |
| eprint = {1704.04368}, | |
| timestamp = {Mon, 13 Aug 2018 16:46:08 +0200}, | |
| biburl = {https://dblp.org/rec/bib/journals/corr/SeeLM17}, | |
| bibsource = {dblp computer science bibliography, https://dblp.org} | |
| } | |
| @inproceedings{hermann2015teaching, | |
| title={Teaching machines to read and comprehend}, | |
| author={Hermann, Karl Moritz and Kocisky, Tomas and Grefenstette, Edward and Espeholt, Lasse and Kay, Will and Suleyman, Mustafa and Blunsom, Phil}, | |
| booktitle={Advances in neural information processing systems}, | |
| pages={1693--1701}, | |
| year={2015} | |
| } | |
| """ | |
| _TRAIN_DOWNLOAD_URLS = [ | |
| "https://huggingface.co/datasets/ml6team/cnn_dailymail_nl/resolve/main/cnn_dailymail_nl_train_000000000000.csv.gz", | |
| "https://huggingface.co/datasets/ml6team/cnn_dailymail_nl/resolve/main/cnn_dailymail_nl_train_000000000001.csv.gz", | |
| "https://huggingface.co/datasets/ml6team/cnn_dailymail_nl/resolve/main/cnn_dailymail_nl_train_000000000002.csv.gz", | |
| ] | |
| _VALIDATION_DOWNLOAD_URL = "https://huggingface.co/datasets/ml6team/cnn_dailymail_nl/resolve/main/cnn_dailymail_nl_validation.csv.gz" | |
| _TEST_DOWNLOAD_URL = "https://huggingface.co/datasets/ml6team/cnn_dailymail_nl/resolve/main/cnn_dailymail_nl_test.csv.gz" | |
| _ID = "id" | |
| _HIGHLIGHTS = "highlights" | |
| _ARTICLE = "article" | |
| class CnnDailymailNl(datasets.GeneratorBasedBuilder): | |
| """CNN/Dailymail Dutch summarization dataset.""" | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| _ARTICLE: datasets.Value("string"), | |
| _HIGHLIGHTS: datasets.Value("string"), | |
| _ID: datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage="https://huggingface.co/datasets/ml6team/cnn_dailymail_nl", | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| train_paths = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URLS) | |
| validation_path = dl_manager.download_and_extract(_VALIDATION_DOWNLOAD_URL) | |
| test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, gen_kwargs={"filepaths": train_paths} | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={"filepaths": [validation_path]}, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, gen_kwargs={"filepaths": [test_path]} | |
| ), | |
| ] | |
| def _generate_examples(self, filepaths): | |
| """Generate Dutch CNN/Dailymail examples.""" | |
| for filepath in filepaths: # training data is divided over multiple shards | |
| with open(filepath, encoding="utf-8") as csv_file: | |
| csv_reader = csv.reader( | |
| csv_file, | |
| quotechar='"', | |
| delimiter=",", | |
| quoting=csv.QUOTE_ALL, | |
| skipinitialspace=True, | |
| ) | |
| next(csv_reader) # skip header | |
| for row in csv_reader: | |
| article_id, article, highlights = row | |
| yield article_id, { | |
| _ARTICLE: article, | |
| _HIGHLIGHTS: highlights, | |
| _ID: article_id, | |
| } | |