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.gitattributes

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 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
 *.gz filter=lfs diff=lfs merge=lfs -text
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+default/cnn_dailymail_nl-train-00002-of-00003.parquet filter=lfs diff=lfs merge=lfs -text
+default/cnn_dailymail_nl-train-00000-of-00003.parquet filter=lfs diff=lfs merge=lfs -text
+default/cnn_dailymail_nl-validation.parquet filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -1,60 +0,0 @@
----
-annotations_creators:
-- no-annotation
-language_creators:
-- found
-language:
-- nl
-license:
-- mit
-multilinguality:
-- monolingual
-size_categories:
-- 100K<n<1M
-source_datasets:
-- https://github.com/huggingface/datasets/tree/master/datasets/cnn_dailymail
-task_categories:
-- conditional-text-generation
-task_ids:
-- summarization
----
-# Dataset Card for Dutch CNN Dailymail Dataset
-
-## Dataset Description
-
-- **Repository:** [CNN / DailyMail Dataset NL repository](https://huggingface.co/datasets/ml6team/cnn_dailymail_nl)
-
-### Dataset Summary
-
-The Dutch CNN / DailyMail Dataset is a machine-translated version of the English CNN / Dailymail dataset containing just over 300k unique news aticles as written by journalists at CNN and the Daily Mail.
-
-Most information about the dataset can be found on the [HuggingFace page](https://huggingface.co/datasets/cnn_dailymail) of the original English version.
-
-These are the basic steps used to create this dataset (+ some chunking):
-```
-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')
-```
-
-### Data Fields
-
-- `id`: a string containing the heximal formated SHA1 hash of the url where the story was retrieved from
-- `article`: a string containing the body of the news article 
-- `highlights`: a string containing the highlight of the article as written by the article author
-
-### Data Splits
-
-The Dutch CNN/DailyMail dataset follows the same splits as the original English version and has 3 splits: _train_, _validation_, and _test_.
-
-| Dataset Split | Number of Instances in Split                |
-| ------------- | ------------------------------------------- |
-| Train         | 287,113                                     |
-| Validation    | 13,368                                      |
-| Test          | 11,490                                      |
-

cnn_dailymail_nl.py

@@ -1,136 +0,0 @@
-# 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,
-                    }

dataset_infos.json

@@ -1,83 +0,0 @@
-{
-    "default": {
-        "description": "    This dataset is the CNN/Dailymail dataset translated to Dutch.\n    This is the original dataset:\n    ```\n    load_dataset(\"cnn_dailymail\", '3.0.0')\n    ```\n    And this is the HuggingFace translation pipeline: \n    ```\n    pipeline(\n        task='translation_en_to_nl',\n        model='Helsinki-NLP/opus-mt-en-nl',\n        tokenizer='Helsinki-NLP/opus-mt-en-nl')\n    ```\n",
-        "citation": "@article{DBLP:journals/corr/SeeLM17,\n  author    = {Abigail See and\n               Peter J. Liu and\n               Christopher D. Manning},\n  title     = {Get To The Point: Summarization with Pointer-Generator Networks},\n  journal   = {CoRR},\n  volume    = {abs/1704.04368},\n  year      = {2017},\n  url       = {http://arxiv.org/abs/1704.04368},\n  archivePrefix = {arXiv},\n  eprint    = {1704.04368},\n  timestamp = {Mon, 13 Aug 2018 16:46:08 +0200},\n  biburl    = {https://dblp.org/rec/bib/journals/corr/SeeLM17},\n  bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n@inproceedings{hermann2015teaching,\n  title={Teaching machines to read and comprehend},\n  author={Hermann, Karl Moritz and Kocisky, Tomas and Grefenstette, Edward and Espeholt, Lasse and Kay, Will and Suleyman, Mustafa and Blunsom, Phil},\n  booktitle={Advances in neural information processing systems},\n  pages={1693--1701},\n  year={2015}\n}\n",
-        "homepage": "https://huggingface.co/datasets/ml6team/cnn_dailymail_nl",
-        "license": "",
-        "features": {
-            "article": {
-                "dtype": "string",
-                "id": null,
-                "_type": "Value"
-            },
-            "highlights": {
-                "dtype": "string",
-                "id": null,
-                "_type": "Value"
-            },
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-                "_type": "Value"
-            }
-        },
-        "post_processed": null,
-        "supervised_keys": null,
-        "task_templates": null,
-        "builder_name": "cnn_dailymail_nl",
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-        "version": {
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