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
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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+languages:
+- en
+- fr
+licenses:
+- unknown
+multilinguality:
+- multilingual
+size_categories:
+- n>1M
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- machine-translation
+---
+
+# Dataset Card Creation Guide
+
+## 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/giga-fren.php
+- **Repository:** None
+- **Paper:** http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf
+- **Leaderboard:** [More Information Needed]
+- **Point of Contact:** [More Information Needed]
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+Here are some examples of questions and facts:
+
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+[More Information Needed]
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+[More Information Needed]
+
+#### 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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+{"en-fr": {"description": "Giga-word corpus for French-English from WMT2010 collected by Chris Callison-Burch\n2 languages, total number of files: 452\ntotal number of tokens: 1.43G\ntotal number of sentence fragments: 47.55M\n", "citation": "J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)\n", "homepage": "http://opus.nlpl.eu/giga-fren.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["en", "fr"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "giga_fren", "config_name": "en-fr", "version": {"version_str": "2.0.0", "description": "", "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 8690296821, "num_examples": 22519904, "dataset_name": "giga_fren"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-giga-fren/v2/moses/en-fr.txt.zip": {"num_bytes": 2701536198, "checksum": "26b03b0b944829cc125c37542a50a62a47fcf77ca1ebab0c41eb1f84f8a4e6d1"}}, "download_size": 2701536198, "post_processing_size": null, "dataset_size": 8690296821, "size_in_bytes": 11391833019}}

dummy/en-fr/2.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8aa142c6b41dfb79e62cfa89b881df7746efe94370084d9bdc9266e6559c74f7
+size 1189

giga_fren.py

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+# coding=utf-8
+# Copyright 2020 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
+import os
+
+import datasets
+
+
+_DESCRIPTION = """\
+Giga-word corpus for French-English from WMT2010 collected by Chris Callison-Burch
+2 languages, total number of files: 452
+total number of tokens: 1.43G
+total number of sentence fragments: 47.55M
+"""
+_HOMEPAGE_URL = "http://opus.nlpl.eu/giga-fren.php"
+_CITATION = """\
+@InProceedings{TIEDEMANN12.463,
+  author = {J{\"o}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},
+  language = {english}
+ }
+"""
+
+_VERSION = "2.0.0"
+_BASE_NAME = "giga-fren.{}.{}"
+_URL = "https://object.pouta.csc.fi/OPUS-giga-fren/v2/moses/en-fr.txt.zip"
+
+
+class GigaFrenConfig(datasets.BuilderConfig):
+    def __init__(self, *args, **kwargs):
+        super().__init__(
+            *args,
+            name="en-fr",
+            **kwargs,
+        )
+
+    @property
+    def lang1(self):
+        return "en"
+
+    @property
+    def lang2(self):
+        return "fr"
+
+
+class GigaFren(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [GigaFrenConfig(description=f"Translating en to fr ", version=datasets.Version(_VERSION))]
+    BUILDER_CONFIG_CLASS = GigaFrenConfig
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "translation": datasets.Translation(languages=(self.config.lang1, self.config.lang2)),
+                },
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE_URL,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        path = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"datapath": path},
+            )
+        ]
+
+    def _generate_examples(self, datapath):
+        l1, l2 = self.config.lang1, self.config.lang2
+        folder = l1 + "-" + l2
+        l1_file = _BASE_NAME.format(folder, l1)
+        l2_file = _BASE_NAME.format(folder, l2)
+        l1_path = os.path.join(datapath, l1_file)
+        l2_path = os.path.join(datapath, l2_file)
+        with open(l1_path, encoding="utf-8") as f1, open(l2_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": {l1: x, l2: y},
+                    },
+                )
+                yield result