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
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
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+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+languages:
+  ar-de:
+  - ar
+  - de
+  ar-en:
+  - ar
+  - en
+  ar-es:
+  - ar
+  - es
+  ar-fr:
+  - ar
+  - fr
+  ar-ru:
+  - ar
+  - ru
+  ar-zh:
+  - ar
+  - zh
+  de-en:
+  - de
+  - en
+  de-es:
+  - de
+  - es
+  de-fr:
+  - de
+  - fr
+  de-ru:
+  - de
+  - ru
+  de-zh:
+  - de
+  - zh
+  en-es:
+  - en
+  - es
+  en-fr:
+  - en
+  - fr
+  en-ru:
+  - en
+  - ru
+  en-zh:
+  - en
+  - zh
+  es-fr:
+  - es
+  - fr
+  es-ru:
+  - es
+  - ru
+  es-zh:
+  - es
+  - zh
+  fr-ru:
+  - fr
+  - ru
+  fr-zh:
+  - fr
+  - zh
+  ru-zh:
+  - ru
+  - zh
+licenses:
+- unknown
+multilinguality:
+- multilingual
+size_categories:
+- 100K<n<1M
+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:**[MultiUN](http://www.euromatrixplus.net/multi-unp)
+- **Repository:**
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+This is a collection of translated documents from the United Nations.
+This corpus is available in all 6 official languages of the UN
+consisting of around 300 million words per language
+
+### Supported Tasks and Leaderboards
+
+The underlying task is machine translation.
+
+### 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{eisele-chen-2010-multiun,
+    title = "{M}ulti{UN}: A Multilingual Corpus from United Nation Documents",
+    author = "Eisele, Andreas  and
+      Chen, Yu",
+    booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
+    month = may,
+    year = "2010",
+    address = "Valletta, Malta",
+    publisher = "European Language Resources Association (ELRA)",
+    url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/686_Paper.pdf",
+    abstract = "This paper describes the acquisition, preparation and properties of a corpus extracted from the official documents of the United Nations (UN). This corpus is available in all 6 official languages of the UN, consisting of around 300 million words per language. We describe the methods we used for crawling, document formatting, and sentence alignment. This corpus also includes a common test set for machine translation. We present the results of a French-Chinese machine translation experiment performed on this corpus.",
+}
+```
+
+```
+@InProceedings{TIEDEMANN12.463,
+  author = {J�rg Tiedemann},
+  title = {Parallel Data, Tools and Interfaces in OPUS},
+  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
+  year = {2012},
+  month = {may},
+  date = {23-25},
+  address = {Istanbul, Turkey},
+  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
+  publisher = {European Language Resources Association (ELRA)},
+  isbn = {978-2-9517408-7-7},
+}
+```

dataset_infos.json

@@ -0,0 +1 @@
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We describe the methods we used for crawling, document formatting, and sentence alignment. This corpus also includes a common test set for machine translation. We present the results of a French-Chinese machine translation experiment performed on this corpus.\",\n}\n\nJ. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. 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We describe the methods we used for crawling, document formatting, and sentence alignment. This corpus also includes a common test set for machine translation. We present the results of a French-Chinese machine translation experiment performed on this corpus.\",\n}\n\nJ. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. 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We describe the methods we used for crawling, document formatting, and sentence alignment. This corpus also includes a common test set for machine translation. We present the results of a French-Chinese machine translation experiment performed on this corpus.\",\n}\n\nJ. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. 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un_multi.py

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+# coding=utf-8
+# Copyright 2020 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.
+"""MultiUN: Multilingual UN Parallel Text 2000—2009"""
+
+from __future__ import absolute_import, division, print_function
+
+import itertools
+import os
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{eisele-chen-2010-multiun,
+    title = "{M}ulti{UN}: A Multilingual Corpus from United Nation Documents",
+    author = "Eisele, Andreas  and
+      Chen, Yu",
+    booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
+    month = may,
+    year = "2010",
+    address = "Valletta, Malta",
+    publisher = "European Language Resources Association (ELRA)",
+    url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/686_Paper.pdf",
+    abstract = "This paper describes the acquisition, preparation and properties of a corpus extracted from the official documents of the United Nations (UN). This corpus is available in all 6 official languages of the UN, consisting of around 300 million words per language. We describe the methods we used for crawling, document formatting, and sentence alignment. This corpus also includes a common test set for machine translation. We present the results of a French-Chinese machine translation experiment performed on this corpus.",
+}
+
+@InProceedings{TIEDEMANN12.463,
+  author = {J�rg Tiedemann},
+  title = {Parallel Data, Tools and Interfaces in OPUS},
+  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
+  year = {2012},
+  month = {may},
+  date = {23-25},
+  address = {Istanbul, Turkey},
+  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
+  publisher = {European Language Resources Association (ELRA)},
+  isbn = {978-2-9517408-7-7},
+}
+"""
+
+
+_DESCRIPTION = """\
+This is a collection of translated documents from the United Nations. \
+This corpus is available in all 6 official languages of the UN, \
+consisting of around 300 million words per language
+"""
+
+
+_HOMEPAGE = "http://www.euromatrixplus.net/multi-un/"
+
+_LANGUAGES = ["ar", "de", "en", "es", "fr", "ru", "zh"]
+_LANGUAGE_PAIRS = list(itertools.combinations(_LANGUAGES, 2))
+
+_BASE_URL = "http://opus.nlpl.eu/download.php?f=MultiUN/v1/moses"
+_URLS = {f"{l1}-{l2}": f"{_BASE_URL}/{l1}-{l2}.txt.zip" for l1, l2 in _LANGUAGE_PAIRS}
+
+
+class UnMulti(datasets.GeneratorBasedBuilder):
+    """MultiUN: Multilingual UN Parallel Text 2000—2009"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name=f"{l1}-{l2}", version=datasets.Version("1.0.0"), description=f"MultiUN {l1}-{l2}")
+        for l1, l2 in _LANGUAGE_PAIRS
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {"translation": datasets.features.Translation(languages=tuple(self.config.name.split("-")))}
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        lang_pair = self.config.name.split("-")
+        data_dir = dl_manager.download_and_extract(_URLS[self.config.name])
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "source_file": os.path.join(data_dir, f"MultiUN.{self.config.name}.{lang_pair[0]}"),
+                    "target_file": os.path.join(data_dir, f"MultiUN.{self.config.name}.{lang_pair[1]}"),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, source_file, target_file):
+        source, target = tuple(self.config.name.split("-"))
+        with open(source_file, encoding="utf-8") as src_f, open(target_file, encoding="utf-8") as tgt_f:
+            for idx, (l1, l2) in enumerate(zip(src_f, tgt_f)):
+                result = {"translation": {source: l1.strip(), target: l2.strip()}}
+                yield idx, result