Convert dataset to Parquet (#3)

- Convert dataset to Parquet (abdeb74746b0c4d98b421e57be1c2cb54f2ce8c6)
- Add ar_to_es data files (51aafbdbb45cf6b8e824eda9c62337089865161b)
- Add ar_to_fr data files (198836abe38385a0aa1e66bcc12c348fd227a500)
- Add ar_to_ru data files (b758ce2716cc97c0e3db061c962a01b092add13f)
- Add ar_to_zh data files (68509b83a975e37a11270d72f78055b640c0a279)
- Add en_to_es data files (d3d56ce259ff84865be3d95676036f3693ab37ae)
- Add en_to_fr data files (0bd52f050d709fb5d392cef184e16f573c7f227e)
- Add en_to_ru data files (fee77c3bcc51815cd6746dd5cb71067dd19c7c39)
- Add en_to_zh data files (7a20303bf6901ec4cc58e80e82177e6e11f5b168)
- Add es_to_fr data files (290cc29cd9cdbc3c4ce24dda260bc98d7f4a3690)
- Add es_to_ru data files (9369497693d2f93aba3176bb191d9655da5e4541)
- Add es_to_zh data files (181f93b86a5e0659733f866341c23a933b936ae5)
- Add fr_to_ru data files (a96a77ec66701448f7c08944c22262b330cecb0a)
- Add fr_to_zh data files (af074c99e3a982ac6a12cb6edc345b9045eb0392)
- Add ru_to_zh data files (d8ceda69e75dc94b8ebb019104fedfbaa35c8d83)
- Delete loading script (26d179e8cf1f30e4d28aa1d5d7a043af42e2b3fd)

README.md

@@ -21,8 +21,23 @@ source_datasets:
 task_categories:
 - translation
 task_ids: []
-paperswithcode_id: null
 pretty_name: UnGa
+config_names:
+- 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:
@@ -36,10 +51,10 @@ dataset_info:
         - en
   splits:
   - name: train
-    num_bytes: 53122872
+    num_bytes: 53122776
     num_examples: 74067
-  download_size: 10584906
-  dataset_size: 53122872
+  download_size: 21418697
+  dataset_size: 53122776
 - config_name: ar_to_es
   features:
   - name: id
@@ -52,10 +67,10 @@ dataset_info:
         - es
   splits:
   - name: train
-    num_bytes: 55728711
+    num_bytes: 55728615
     num_examples: 74067
-  download_size: 11084275
-  dataset_size: 55728711
+  download_size: 22724976
+  dataset_size: 55728615
 - config_name: ar_to_fr
   features:
   - name: id
@@ -68,10 +83,10 @@ dataset_info:
         - fr
   splits:
   - name: train
-    num_bytes: 55930898
+    num_bytes: 55930802
     num_examples: 74067
-  download_size: 11248563
-  dataset_size: 55930898
+  download_size: 23035904
+  dataset_size: 55930802
 - config_name: ar_to_ru
   features:
   - name: id
@@ -84,10 +99,10 @@ dataset_info:
         - ru
   splits:
   - name: train
-    num_bytes: 72657721
+    num_bytes: 72657625
     num_examples: 74067
-  download_size: 12852834
-  dataset_size: 72657721
+  download_size: 28279669
+  dataset_size: 72657625
 - config_name: ar_to_zh
   features:
   - name: id
@@ -100,10 +115,10 @@ dataset_info:
         - zh
   splits:
   - name: train
-    num_bytes: 48217675
+    num_bytes: 48217579
     num_examples: 74067
-  download_size: 10254078
-  dataset_size: 48217675
+  download_size: 20391116
+  dataset_size: 48217579
 - config_name: en_to_es
   features:
   - name: id
@@ -116,10 +131,10 @@ dataset_info:
         - es
   splits:
   - name: train
-    num_bytes: 45358866
+    num_bytes: 45358770
     num_examples: 74067
-  download_size: 9850684
-  dataset_size: 45358866
+  download_size: 19229141
+  dataset_size: 45358770
 - config_name: en_to_fr
   features:
   - name: id
@@ -132,10 +147,10 @@ dataset_info:
         - fr
   splits:
   - name: train
-    num_bytes: 45561053
+    num_bytes: 45560957
     num_examples: 74067
-  download_size: 10014972
-  dataset_size: 45561053
+  download_size: 19540063
+  dataset_size: 45560957
 - config_name: en_to_ru
   features:
   - name: id
@@ -148,10 +163,10 @@ dataset_info:
         - ru
   splits:
   - name: train
-    num_bytes: 62287876
+    num_bytes: 62287780
     num_examples: 74067
-  download_size: 11619243
-  dataset_size: 62287876
+  download_size: 24783812
+  dataset_size: 62287780
 - config_name: en_to_zh
   features:
   - name: id
@@ -164,10 +179,10 @@ dataset_info:
         - zh
   splits:
   - name: train
-    num_bytes: 37847830
+    num_bytes: 37847734
     num_examples: 74067
-  download_size: 9020487
-  dataset_size: 37847830
+  download_size: 16895275
+  dataset_size: 37847734
 - config_name: es_to_fr
   features:
   - name: id
@@ -180,10 +195,10 @@ dataset_info:
         - fr
   splits:
   - name: train
-    num_bytes: 48166892
+    num_bytes: 48166796
     num_examples: 74067
-  download_size: 10514341
-  dataset_size: 48166892
+  download_size: 20846355
+  dataset_size: 48166796
 - config_name: es_to_ru
   features:
   - name: id
@@ -196,10 +211,10 @@ dataset_info:
         - ru
   splits:
   - name: train
-    num_bytes: 64893715
+    num_bytes: 64893619
     num_examples: 74067
-  download_size: 12118612
-  dataset_size: 64893715
+  download_size: 26090092
+  dataset_size: 64893619
 - config_name: es_to_zh
   features:
   - name: id
@@ -212,10 +227,10 @@ dataset_info:
         - zh
   splits:
   - name: train
-    num_bytes: 40453669
+    num_bytes: 40453573
     num_examples: 74067
-  download_size: 9519856
-  dataset_size: 40453669
+  download_size: 18201560
+  dataset_size: 40453573
 - config_name: fr_to_ru
   features:
   - name: id
@@ -228,10 +243,10 @@ dataset_info:
         - ru
   splits:
   - name: train
-    num_bytes: 65095902
+    num_bytes: 65095806
     num_examples: 74067
-  download_size: 12282900
-  dataset_size: 65095902
+  download_size: 26401015
+  dataset_size: 65095806
 - config_name: fr_to_zh
   features:
   - name: id
@@ -244,10 +259,10 @@ dataset_info:
         - zh
   splits:
   - name: train
-    num_bytes: 40655856
+    num_bytes: 40655760
     num_examples: 74067
-  download_size: 9684144
-  dataset_size: 40655856
+  download_size: 18512482
+  dataset_size: 40655760
 - config_name: ru_to_zh
   features:
   - name: id
@@ -260,26 +275,71 @@ dataset_info:
         - zh
   splits:
   - name: train
-    num_bytes: 57382679
+    num_bytes: 57382583
     num_examples: 74067
-  download_size: 11288415
-  dataset_size: 57382679
-config_names:
-- 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
+  download_size: 23756229
+  dataset_size: 57382583
+configs:
+- config_name: ar_to_en
+  data_files:
+  - split: train
+    path: ar_to_en/train-*
+- config_name: ar_to_es
+  data_files:
+  - split: train
+    path: ar_to_es/train-*
+- config_name: ar_to_fr
+  data_files:
+  - split: train
+    path: ar_to_fr/train-*
+- config_name: ar_to_ru
+  data_files:
+  - split: train
+    path: ar_to_ru/train-*
+- config_name: ar_to_zh
+  data_files:
+  - split: train
+    path: ar_to_zh/train-*
+- config_name: en_to_es
+  data_files:
+  - split: train
+    path: en_to_es/train-*
+- config_name: en_to_fr
+  data_files:
+  - split: train
+    path: en_to_fr/train-*
+- config_name: en_to_ru
+  data_files:
+  - split: train
+    path: en_to_ru/train-*
+- config_name: en_to_zh
+  data_files:
+  - split: train
+    path: en_to_zh/train-*
+- config_name: es_to_fr
+  data_files:
+  - split: train
+    path: es_to_fr/train-*
+- config_name: es_to_ru
+  data_files:
+  - split: train
+    path: es_to_ru/train-*
+- config_name: es_to_zh
+  data_files:
+  - split: train
+    path: es_to_zh/train-*
+- config_name: fr_to_ru
+  data_files:
+  - split: train
+    path: fr_to_ru/train-*
+- config_name: fr_to_zh
+  data_files:
+  - split: train
+    path: fr_to_zh/train-*
+- config_name: ru_to_zh
+  data_files:
+  - split: train
+    path: ru_to_zh/train-*
 ---
 
 # Dataset Card for [Dataset Name]

ar_to_en/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ebaa0a103b98e81755881eff1e83db1f462ccc0491186646997c80539769966a
+size 21418697

ar_to_es/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45c8eddd68abbf83a503c7bccc4602d483d63874dc2ec2ca9a86d4aab5495f2d
+size 22724976

ar_to_fr/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2bdfc0c018fdb95678927926168d184b01aeb83e0e8387592df6d262dfbcff06
+size 23035904

ar_to_ru/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:675449cb8d1f47775fb4ee2f9022d96f0c7dfb824cb9aea209d1d5690dea7197
+size 28279669

ar_to_zh/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:033ea4769cde695f63fb71eba07d114cdf6a18d2d2cdeeb79760393fdf00192b
+size 20391116

en_to_es/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d3a5797a9d27e43af9896e70301b8c93648a055f11f6c3d2e4c9a9cea54e04d4
+size 19229141

en_to_fr/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6e883d727805f593a20f757859efaec3589d005c246296c327490a0debbcbac
+size 19540063

en_to_ru/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de3b0843d925d1f996d378d6dede0ba406a357fabc067cd1da98b8fd2d6b6044
+size 24783812

en_to_zh/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ceedf184299c31fb9ecee597f3d14b36818015505bc09c6ce7a5842a14a4853
+size 16895275

es_to_fr/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d90dbe39568deada452914c7868a6b8844b9e9ea40d71a72d2dd8675680f47e2
+size 20846355

es_to_ru/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60d46f6cda0c2b9b2593ac67c2ba27923bbdeb3bdffc5eb45537b21ec102c826
+size 26090092

es_to_zh/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c448cf6e67b275cf57fe3ce551ec2037473b1ed433dbfc7787c78bcc851f2227
+size 18201560

fr_to_ru/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4677dbeb76cee465a6098078a06303e67b404c5141cf5f5a814c55bba0647a41
+size 26401015

fr_to_zh/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ffc9f7ff7153a2dcf7b48bd6f21502298e57ae0e5622499128649698fc40d189
+size 18512482

ru_to_zh/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71ddd1090f02b980ee99591204a702093723676be02801a8cd6277c63ffaceb1
+size 23756229

un_ga.py

@@ -1,154 +0,0 @@
-# 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