Update files from the datasets library (from 1.2.0)

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

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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+languages:
+  ar-to-en:
+    - ar
+    - en
+  ar-to-es:
+    - ar
+    - es
+  ar-to-fr:
+    - ar
+    - fr
+  ar-to-ru:
+    - ar
+    - ru
+  ar-to-zh:
+    - ar
+    - zh
+  en-to-es:
+    - en
+    - es
+  en-to-fr:
+    - en
+    - fr
+  en-to-ru:
+    - en
+    - ru
+  en-to-zh:
+    - en
+    - zh
+  es-to-fr:
+    - es
+    - fr
+  es-to-ru:
+    - es
+    - ru
+  es-to-zh:
+    - es
+    - zh
+  fr-to-ru:
+    - fr
+    - ru
+  fr-to-zh:
+    - fr
+    - zh
+  ru-to-zh:
+    - ru
+    - zh
+licenses:
+- unknown
+multilinguality:
+- translation
+size_categories:
+- n>10M
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- machine-translation
+---
+
+# Dataset Card for [Dataset Name]
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [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:** http://opus.nlpl.eu/UN.php
+- **Repository:**
+- **Paper:** https://www.researchgate.net/publication/228579662_United_nations_general_assembly_resolutions_A_six-language_parallel_corpus
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+This is a collection of translated documents from the United Nations originally compiled into a translation memory by Alexandre Rafalovitch, Robert Dale (see http://uncorpora.org).
+
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## 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
+
+@inproceedings{title = "United Nations General Assembly Resolutions: a six-language parallel corpus",
+abstract = "In this paper we describe a six-ways parallel public-domain corpus consisting of 2100 United Nations General Assembly Resolutions with translations in the six official languages of the United Nations, with an average of around 3 million tokens per language. The corpus is available in a preprocessed, formatting-normalized TMX format with paragraphs aligned across multiple languages. We describe the background to the corpus and its content, the process of its construction, and some of its interesting properties.",
+author = "Alexandre Rafalovitch and Robert Dale",
+year = "2009",
+language = "English",
+booktitle = "MT Summit XII proceedings",
+publisher = "International Association of Machine Translation",
+}

dataset_infos.json

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un_ga.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.
+"""United nations general assembly resolutions: A six-language parallel corpus"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{title = "United Nations General Assembly Resolutions: a six-language parallel corpus",
+abstract = "In this paper we describe a six-ways parallel public-domain corpus consisting of 2100 United Nations General Assembly Resolutions with translations in the six official languages of the United Nations, with an average of around 3 million tokens per language. The corpus is available in a preprocessed, formatting-normalized TMX format with paragraphs aligned across multiple languages. We describe the background to the corpus and its content, the process of its construction, and some of its interesting properties.",
+author = "Alexandre Rafalovitch and Robert Dale",
+year = "2009",
+language = "English",
+booktitle = "MT Summit XII proceedings",
+publisher = "International Association of Machine Translation",
+}"""
+
+_HOMEPAGE = "http://opus.nlpl.eu/UN.php"
+
+
+_LICENSE = ""
+
+_VALID_LANGUAGE_PAIRS = {
+    ("ar", "en"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-en.txt.zip",
+    ("ar", "es"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-es.txt.zip",
+    ("ar", "fr"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-fr.txt.zip",
+    ("ar", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-ru.txt.zip",
+    ("ar", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-zh.txt.zip",
+    ("en", "es"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-es.txt.zip",
+    ("en", "fr"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-fr.txt.zip",
+    ("en", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-ru.txt.zip",
+    ("en", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-zh.txt.zip",
+    ("es", "fr"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/es-fr.txt.zip",
+    ("es", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/es-ru.txt.zip",
+    ("es", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/es-zh.txt.zip",
+    ("fr", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/fr-ru.txt.zip",
+    ("fr", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/fr-zh.txt.zip",
+    ("ru", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ru-zh.txt.zip",
+}
+
+_VERSION = "2.0.0"
+
+_DESCRIPTION = """\
+United nations general assembly resolutions: A six-language parallel corpus.
+This is a collection of translated documents from the United Nations originally compiled into a translation memory by Alexandre Rafalovitch, Robert Dale (see http://uncorpora.org).
+6 languages, 15 bitexts
+total number of files: 6
+total number of tokens: 18.87M
+total number of sentence fragments: 0.44M
+"""
+
+_BASE_NAME = "UN.{}-{}.{}"
+
+
+class UnGaConfig(datasets.BuilderConfig):
+    """BuilderConfig for United nations general assembly resolutions: A six-language parallel corpus"""
+
+    def __init__(self, language_pair=(None, None), **kwargs):
+        """BuilderConfig for United nations general assembly resolutions: A six-language parallel corpus.
+        The first language in `language_pair` should consist of two strings joined by
+        an underscore (e.g. "en-tr").
+        Args:
+          language_pair: pair of languages that will be used for translation.
+          **kwargs: keyword arguments forwarded to super.
+        """
+        name = "%s_to_%s" % (language_pair[0], language_pair[1])
+
+        description = ("Translation dataset from %s to %s or %s to %s.") % (
+            language_pair[0],
+            language_pair[1],
+            language_pair[1],
+            language_pair[0],
+        )
+        super(UnGaConfig, self).__init__(
+            name=name, description=description, version=datasets.Version(_VERSION, ""), **kwargs
+        )
+
+        # Validate language pair.
+        assert language_pair in _VALID_LANGUAGE_PAIRS, (
+            "Config language pair (%s, " "%s) not supported"
+        ) % language_pair
+
+        self.language_pair = language_pair
+
+
+class UnGa(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        UnGaConfig(
+            language_pair=pair,
+        )
+        for pair in _VALID_LANGUAGE_PAIRS.keys()
+    ]
+
+    BUILDER_CONFIG_CLASS = UnGaConfig
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "translation": datasets.Translation(languages=tuple(self.config.language_pair)),
+                },
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        download_url = _VALID_LANGUAGE_PAIRS.get(tuple(self.config.language_pair))
+        path = dl_manager.download_and_extract(download_url)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"datapath": path},
+            )
+        ]
+
+    def _generate_examples(self, datapath):
+        lang1, lang2 = self.config.language_pair
+        lang1_file = _BASE_NAME.format(lang1, lang2, lang1)
+        lang2_file = _BASE_NAME.format(lang1, lang2, lang2)
+        lang1_path = os.path.join(datapath, lang1_file)
+        lang2_path = os.path.join(datapath, lang2_file)
+
+        with open(lang1_path, encoding="utf-8") as f1, open(lang2_path, encoding="utf-8") as f2:
+            for sentence_counter, (x, y) in enumerate(zip(f1, f2)):
+                x = x.strip()
+                y = y.strip()
+                result = (
+                    sentence_counter,
+                    {
+                        "id": str(sentence_counter),
+                        "translation": {lang1: x, lang2: y},
+                    },
+                )
+                yield result