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:
+- fi
+- sv
+licenses:
+- unknown
+multilinguality:
+- translation
+size_categories:
+- 1k<10K
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- machine-translation
+---
+
+# Dataset Card for [opus_finlex]
+
+## 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:**[Finlex](http://opus.nlpl.eu/Finlex.php)
+- **Repository:**
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+The Finlex Data Base is a comprehensive collection of legislative and other judicial information of Finland, which is available in Finnish, Swedish and partially in English. This corpus is taken from the Semantic Finlex serice that provides the Finnish and Swedish data as linked open data and also raw XML files.
+
+### Supported Tasks and Leaderboards
+
+The underlying task is machine translation for language pair Swedish and Finnish.
+
+### Languages
+
+Swedish and Finnish
+
+## 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
+
+J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

dataset_infos.json

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+{"fi-sv": {"description": "The Finlex Data Base is a comprehensive collection of legislative and other judicial information of Finland, which is available in Finnish, Swedish and partially in English. This corpus is taken from the Semantic Finlex serice that provides the Finnish and Swedish data as linked open data and also raw XML files.", "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)", "homepage": "http://opus.nlpl.eu/Finlex.php", "license": "", "features": {"translation": {"languages": ["fi", "sv"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "opus_finlex", "config_name": "fi-sv", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 610550215, "num_examples": 3114141, "dataset_name": "opus_finlex"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-Finlex/v2018/moses/fi-sv.txt.zip": {"num_bytes": 153886554, "checksum": "38c28159c1bddf0108e911d35c5faef8560f2824c8975d80d85431bcdc42fc1c"}}, "download_size": 153886554, "post_processing_size": null, "dataset_size": 610550215, "size_in_bytes": 764436769}}

dummy/fi-sv/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9afbd7dd586b757b93a995f55bde889a05d8d80b7532ea167fb48ce302e6bc93
+size 804

opus_finlex.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.
+
+
+from __future__ import absolute_import, division, print_function
+
+import os
+
+import datasets
+
+
+_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)"""
+
+
+_DESCRIPTION = """\
+The Finlex Data Base is a comprehensive collection of legislative and other judicial information of Finland, \
+which is available in Finnish, Swedish and partially in English. This corpus is taken from the Semantic Finlex serice \
+that provides the Finnish and Swedish data as linked open data and also raw XML files."""
+
+
+_HOMEPAGE = "http://opus.nlpl.eu/Finlex.php"
+
+
+_LICENSE = ""
+
+
+_URLs = {"train": "https://object.pouta.csc.fi/OPUS-Finlex/v2018/moses/fi-sv.txt.zip"}
+
+
+class OpusFinlex(datasets.GeneratorBasedBuilder):
+    """TODO: Short description of my dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [datasets.BuilderConfig(name="fi-sv", version=VERSION)]
+
+    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="http://opus.nlpl.eu/Finlex.php",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download_and_extract(_URLs)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "source_file": os.path.join(data_dir["train"], "Finlex.fi-sv.fi"),
+                    "target_file": os.path.join(data_dir["train"], "Finlex.fi-sv.sv"),
+                    "split": "train",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, source_file, target_file, split):
+        """This function returns the examples in the raw (text) form."""
+        with open(source_file, encoding="utf-8") as f:
+            source_sentences = f.read().split("\n")
+        with open(target_file, encoding="utf-8") as f:
+            target_sentences = f.read().split("\n")
+
+        assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
+            len(source_sentences),
+            len(target_sentences),
+            source_file,
+            target_file,
+        )
+
+        source, target = tuple(self.config.name.split("-"))
+        for idx, (l1, l2) in enumerate(zip(source_sentences, target_sentences)):
+            result = {"translation": {source: l1, target: l2}}
+            yield idx, result