Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
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+*.model filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- no-annotation
+language_creators:
+- expert-generated
+languages:
+- es
+licenses:
+  DGT:
+  - mit
+  DOGC:
+  - mit
+  ECB:
+  - mit
+  EMEA:
+  - mit
+  EUBookShop:
+  - mit
+  Europarl:
+  - mit
+  GlobalVoices:
+  - mit
+  JRC:
+  - mit
+  NewsCommentary11:
+  - mit
+  OpenSubtitles2018:
+  - mit
+  ParaCrawl:
+  - mit
+  TED:
+  - mit
+  UN:
+  - mit
+  all_wikis:
+  - mit
+  combined:
+  - mit
+  multiUN:
+  - mit
+multilinguality:
+- monolingual
+size_categories:
+  DGT:
+  - n>1M
+  DOGC:
+  - n>1M
+  ECB:
+  - n>1M
+  EMEA:
+  - n>1M
+  EUBookShop:
+  - n>1M
+  Europarl:
+  - n>1M
+  GlobalVoices:
+  - 100K<n<1M
+  JRC:
+  - n>1M
+  NewsCommentary11:
+  - 100K<n<1M
+  OpenSubtitles2018:
+  - n>1M
+  ParaCrawl:
+  - n>1M
+  TED:
+  - 100K<n<1M
+  UN:
+  - 10K<n<100K
+  all_wikis:
+  - n>1M
+  combined:
+  - n>1M
+  multiUN:
+  - n>1M
+source_datasets:
+- original
+task_categories:
+- other
+task_ids:
+- other-other-pretraining-language-models
+---
+
+# Dataset Card for [Dataset Name]
+
+## Table of Contents
+- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+  - [Dataset Structure](#dataset-structure)
+    - [Data Instances](#data-instances)
+    - [Data Fields](#data-fields)
+    - [Data Splits](#data-splits)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+    - [Annotations](#annotations)
+      - [Annotation process](#annotation-process)
+      - [Who are the annotators?](#who-are-the-annotators)
+    - [Personal and Sensitive Information](#personal-and-sensitive-information)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+  - [Additional Information](#additional-information)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** [https://github.com/josecannete/spanish-corpora](https://github.com/josecannete/spanish-corpora)
+- **Repository:** [https://github.com/josecannete/spanish-corpora](https://github.com/josecannete/spanish-corpora)
+- **Paper:** 
+- **Leaderboard:**
+- **Point of Contact:** [José Cañete](mailto:jose.canete@ug.uchile.cl) (corpus creator) or [Lewis Tunstall](mailto:lewis.c.tunstall@gmail.com) (corpus submitter)
+
+### Dataset Summary
+
+The Large Spanish Corpus is a compilation of 15 unlabelled Spanish corpora spanning Wikipedia to European parliament notes. Each config contains the data corresponding to a different corpus. For example, `all_wiki` only includes examples from Spanish Wikipedia:
+
+```python
+from datasets import load_dataset
+all_wiki = load_dataset('large_spanish_corpus', name='all_wiki')
+```
+
+By default, the config is set to "combined" which loads all the corpora.
+
+
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+Spanish
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+The following is taken from the corpus' source repsository:
+
+* Spanish Wikis: Which include Wikipedia, Wikinews, Wikiquotes and more. These were first processed with wikiextractor (https://github.com/josecannete/wikiextractorforBERT) using the wikis dump of 20/04/2019.
+
+* ParaCrawl: Spanish portion of ParaCrawl (http://opus.nlpl.eu/ParaCrawl.php)
+
+* EUBookshop: Spanish portion of EUBookshop (http://opus.nlpl.eu/EUbookshop.php)
+
+* MultiUN: Spanish portion of MultiUN (http://opus.nlpl.eu/MultiUN.php)
+
+* OpenSubtitles: Spanish portion of OpenSubtitles2018 (http://opus.nlpl.eu/OpenSubtitles-v2018.php)
+
+* DGC: Spanish portion of DGT (http://opus.nlpl.eu/DGT.php)
+
+* DOGC: Spanish portion of DOGC (http://opus.nlpl.eu/DOGC.php)
+
+* ECB: Spanish portion of ECB (http://opus.nlpl.eu/ECB.php)
+
+* EMEA: Spanish portion of EMEA (http://opus.nlpl.eu/EMEA.php)
+
+* Europarl: Spanish portion of Europarl (http://opus.nlpl.eu/Europarl.php)
+
+* GlobalVoices: Spanish portion of GlobalVoices (http://opus.nlpl.eu/GlobalVoices.php)
+
+* JRC: Spanish portion of JRC (http://opus.nlpl.eu/JRC-Acquis.php)
+
+* News-Commentary11: Spanish portion of NCv11 (http://opus.nlpl.eu/News-Commentary-v11.php)
+
+* TED: Spanish portion of TED (http://opus.nlpl.eu/TED2013.php)
+
+* UN: Spanish portion of UN (http://opus.nlpl.eu/UN.php)
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]

dataset_infos.json

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large_spanish_corpus.py

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+# 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.
+"""The Large Spanish Corpus is a compilation of Spanish corpora spanning Wikipedia to European parliament notes."""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+
+import datasets
+
+
+_CITATION = """\
+@dataset{jose_canete_2019_3247731,
+  author       = {José Cañete},
+  title        = {Compilation of Large Spanish Unannotated Corpora},
+  month        = may,
+  year         = 2019,
+  publisher    = {Zenodo},
+  doi          = {10.5281/zenodo.3247731},
+  url          = {https://doi.org/10.5281/zenodo.3247731}
+}
+"""
+
+_DESCRIPTION = """\
+The Large Spanish Corpus is a compilation of 15 unlabelled Spanish corpora spanning Wikipedia to European parliament \
+notes. Each config contains the data corresponding to a different corpus. For example, "all_wiki" only includes \
+examples from Spanish Wikipedia. By default, the config is set to "combined" which loads all the corpora; with this \
+setting you can also specify the number of samples to return per corpus by configuring the "split" argument.
+"""
+
+_HOMEPAGE = "https://github.com/josecannete/spanish-corpora"
+
+_LICENSE = "MIT"
+
+_URL = "https://zenodo.org/record/3247731/files/raw.tar.bz2"
+
+_CORPORA = [
+    "JRC",
+    "EMEA",
+    "GlobalVoices",
+    "ECB",
+    "DOGC",
+    "all_wikis",
+    "TED",
+    "multiUN",
+    "Europarl",
+    "NewsCommentary11",
+    "UN",
+    "EUBookShop",
+    "ParaCrawl",
+    "OpenSubtitles2018",
+    "DGT",
+]
+
+_CORPORA_FILEPATHS = {corpus: os.path.join("spanish-corpora", "raw", f"{corpus}.txt") for corpus in _CORPORA}
+
+_VERSION = "1.1.0"
+
+_COMBINED = "combined"
+
+
+class LargeSpanishCorpusConfig(datasets.BuilderConfig):
+    def __init__(self, corpora=None, **kwargs):
+        super(LargeSpanishCorpusConfig, self).__init__(version=datasets.Version(_VERSION, ""), **kwargs)
+        self.corpora = corpora
+
+    @property
+    def filepaths(self):
+        return [_CORPORA_FILEPATHS[corpus] for corpus in self.corpora]
+
+
+class LargeSpanishCorpus(datasets.GeneratorBasedBuilder):
+    """The Large Spanish Corpus."""
+
+    BUILDER_CONFIGS = [
+        LargeSpanishCorpusConfig(name=corpus, corpora=[corpus], description=f"Spanish examples in corpus {corpus}.")
+        for corpus in _CORPORA
+    ] + [
+        LargeSpanishCorpusConfig(
+            name=_COMBINED, corpora=_CORPORA, description=f"Complete Spanish dataset with all corpora."
+        )
+    ]
+    BUILDER_CONFIG_CLASS = LargeSpanishCorpusConfig
+    DEFAULT_CONFIG_NAME = _COMBINED
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URL)
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"data_dir": data_dir})]
+
+    def _generate_examples(self, data_dir):
+        for filepath in self.config.filepaths:
+            filepath = os.path.join(data_dir, filepath)
+            _id = 0
+            with open(filepath, mode="r", encoding="utf-8") as f:
+                for line in f:
+                    yield _id, {"text": line.strip()},
+                    _id += 1