Update parquet files

README.md

@@ -1,411 +0,0 @@
----
-annotations_creators:
-- found
-language_creators:
-- found
-language:
-- ar
-- en
-- es
-- fr
-- ru
-- zh
-license:
-- unknown
-multilinguality:
-- translation
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-task_categories:
-- translation
-task_ids: []
-paperswithcode_id: null
-pretty_name: UnGa
-configs:
-- ar-to-en
-- ar-to-es
-- ar-to-fr
-- ar-to-ru
-- ar-to-zh
-- en-to-es
-- en-to-fr
-- en-to-ru
-- en-to-zh
-- es-to-fr
-- es-to-ru
-- es-to-zh
-- fr-to-ru
-- fr-to-zh
-- ru-to-zh
-dataset_info:
-- config_name: ar_to_en
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ar
-        - en
-  splits:
-  - name: train
-    num_bytes: 53122872
-    num_examples: 74067
-  download_size: 10584906
-  dataset_size: 53122872
-- config_name: ar_to_es
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ar
-        - es
-  splits:
-  - name: train
-    num_bytes: 55728711
-    num_examples: 74067
-  download_size: 11084275
-  dataset_size: 55728711
-- config_name: ar_to_fr
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ar
-        - fr
-  splits:
-  - name: train
-    num_bytes: 55930898
-    num_examples: 74067
-  download_size: 11248563
-  dataset_size: 55930898
-- config_name: ar_to_ru
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ar
-        - ru
-  splits:
-  - name: train
-    num_bytes: 72657721
-    num_examples: 74067
-  download_size: 12852834
-  dataset_size: 72657721
-- config_name: ar_to_zh
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ar
-        - zh
-  splits:
-  - name: train
-    num_bytes: 48217675
-    num_examples: 74067
-  download_size: 10254078
-  dataset_size: 48217675
-- config_name: en_to_es
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - es
-  splits:
-  - name: train
-    num_bytes: 45358866
-    num_examples: 74067
-  download_size: 9850684
-  dataset_size: 45358866
-- config_name: en_to_fr
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - fr
-  splits:
-  - name: train
-    num_bytes: 45561053
-    num_examples: 74067
-  download_size: 10014972
-  dataset_size: 45561053
-- config_name: en_to_ru
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - ru
-  splits:
-  - name: train
-    num_bytes: 62287876
-    num_examples: 74067
-  download_size: 11619243
-  dataset_size: 62287876
-- config_name: en_to_zh
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - zh
-  splits:
-  - name: train
-    num_bytes: 37847830
-    num_examples: 74067
-  download_size: 9020487
-  dataset_size: 37847830
-- config_name: es_to_fr
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - es
-        - fr
-  splits:
-  - name: train
-    num_bytes: 48166892
-    num_examples: 74067
-  download_size: 10514341
-  dataset_size: 48166892
-- config_name: es_to_ru
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - es
-        - ru
-  splits:
-  - name: train
-    num_bytes: 64893715
-    num_examples: 74067
-  download_size: 12118612
-  dataset_size: 64893715
-- config_name: es_to_zh
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - es
-        - zh
-  splits:
-  - name: train
-    num_bytes: 40453669
-    num_examples: 74067
-  download_size: 9519856
-  dataset_size: 40453669
-- config_name: fr_to_ru
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - fr
-        - ru
-  splits:
-  - name: train
-    num_bytes: 65095902
-    num_examples: 74067
-  download_size: 12282900
-  dataset_size: 65095902
-- config_name: fr_to_zh
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - fr
-        - zh
-  splits:
-  - name: train
-    num_bytes: 40655856
-    num_examples: 74067
-  download_size: 9684144
-  dataset_size: 40655856
-- config_name: ru_to_zh
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ru
-        - zh
-  splits:
-  - name: train
-    num_bytes: 57382679
-    num_examples: 74067
-  download_size: 11288415
-  dataset_size: 57382679
----
-
-# Dataset Card for [Dataset Name]
-
-## 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)
-  - [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)
-  - [Contributions](#contributions)
-
-## 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",
-}
-### Contributions
-
-Thanks to [@param087](https://github.com/param087) for adding this dataset.

ar_to_en/un_ga-train.parquet

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dataset_infos.json

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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"""
-
-
-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