Convert dataset to Parquet

README.md

@@ -36,8 +36,13 @@ source_datasets:
 task_categories:
 - translation
 task_ids: []
-paperswithcode_id: null
 pretty_name: OpusWikipedia
+config_names:
+- ar-en
+- ar-pl
+- en-ru
+- en-sl
+- en-vi
 dataset_info:
 - config_name: ar-en
   features:
@@ -51,10 +56,10 @@ dataset_info:
         - en
   splits:
   - name: train
-    num_bytes: 45207715
+    num_bytes: 45207523
     num_examples: 151136
-  download_size: 16097997
-  dataset_size: 45207715
+  download_size: 26617751
+  dataset_size: 45207523
 - config_name: ar-pl
   features:
   - name: id
@@ -67,11 +72,11 @@ dataset_info:
         - pl
   splits:
   - name: train
-    num_bytes: 304851676
+    num_bytes: 304850680
     num_examples: 823715
-  download_size: 104585718
-  dataset_size: 304851676
-- config_name: en-sl
+  download_size: 175806051
+  dataset_size: 304850680
+- config_name: en-ru
   features:
   - name: id
     dtype: string
@@ -80,14 +85,14 @@ dataset_info:
       translation:
         languages:
         - en
-        - sl
+        - ru
   splits:
   - name: train
-    num_bytes: 30479739
-    num_examples: 140124
-  download_size: 11727538
-  dataset_size: 30479739
-- config_name: en-ru
+    num_bytes: 167648361
+    num_examples: 572717
+  download_size: 97008376
+  dataset_size: 167648361
+- config_name: en-sl
   features:
   - name: id
     dtype: string
@@ -96,13 +101,13 @@ dataset_info:
       translation:
         languages:
         - en
-        - ru
+        - sl
   splits:
   - name: train
-    num_bytes: 167649057
-    num_examples: 572717
-  download_size: 57356138
-  dataset_size: 167649057
+    num_bytes: 30479559
+    num_examples: 140124
+  download_size: 18557819
+  dataset_size: 30479559
 - config_name: en-vi
   features:
   - name: id
@@ -115,16 +120,31 @@ dataset_info:
         - vi
   splits:
   - name: train
-    num_bytes: 7571598
+    num_bytes: 7571526
     num_examples: 58116
-  download_size: 2422413
-  dataset_size: 7571598
-config_names:
-- ar-en
-- ar-pl
-- en-ru
-- en-sl
-- en-vi
+  download_size: 3969559
+  dataset_size: 7571526
+configs:
+- config_name: ar-en
+  data_files:
+  - split: train
+    path: ar-en/train-*
+- config_name: ar-pl
+  data_files:
+  - split: train
+    path: ar-pl/train-*
+- config_name: en-ru
+  data_files:
+  - split: train
+    path: en-ru/train-*
+- config_name: en-sl
+  data_files:
+  - split: train
+    path: en-sl/train-*
+- config_name: en-vi
+  data_files:
+  - split: train
+    path: en-vi/train-*
 ---
 
 # Dataset Card for OpusWikipedia

ar-en/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:941c69f31ce60f286fddc87ef9f83e2b545e9ef0bbd7a8e87088665c237aad4f
+size 26617751

ar-pl/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a956863553d3c90cb56d21799c1c4183dd56a844d32910dcf57aafd35b021fe
+size 175806051

en-ru/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:774267e5caf84e9c13037634a8a5b8b2679399c9fd9cdcce8855934c2badba19
+size 97008376

en-sl/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df11bc87c0de85596bdac4bf4065f1d852e6f7923830a2942d44ea8228043162
+size 18557819

en-vi/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2d02de8f871e31837473a966bfc4bda15d759919a7d1fd292af020741c08a69
+size 3969559

opus_wikipedia.py

@@ -1,127 +0,0 @@
-# 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 = """\
-This is a corpus of parallel sentences extracted from Wikipedia by Krzysztof Wołk and Krzysztof Marasek. Please cite the following publication if you use the data: Krzysztof Wołk and Krzysztof Marasek: Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs., Procedia Technology, 18, Elsevier, p.126-132, 2014
-20 languages, 36 bitexts
-total number of files: 114
-total number of tokens: 610.13M
-total number of sentence fragments: 25.90M
-"""
-_HOMEPAGE_URL = "http://opus.nlpl.eu/Wikipedia.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 = "1.0.0"
-_BASE_NAME = "Wikipedia.{}.{}"
-_BASE_URL = "https://object.pouta.csc.fi/OPUS-Wikipedia/v1.0/moses/{}-{}.txt.zip"
-# Please note that only few pairs are shown here. You can use config to generate data for all language pairs
-_LANGUAGE_PAIRS = [
-    ("ar", "en"),
-    ("ar", "pl"),
-    ("en", "sl"),
-    ("en", "ru"),
-    ("en", "vi"),
-]
-
-
-class WikipediaConfig(datasets.BuilderConfig):
-    def __init__(self, *args, lang1=None, lang2=None, **kwargs):
-        super().__init__(
-            *args,
-            name=f"{lang1}-{lang2}",
-            **kwargs,
-        )
-        self.lang1 = lang1
-        self.lang2 = lang2
-
-
-class OpusWikipedia(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        WikipediaConfig(
-            lang1=lang1,
-            lang2=lang2,
-            description=f"Translating {lang1} to {lang2} or vice versa",
-            version=datasets.Version(_VERSION),
-        )
-        for lang1, lang2 in _LANGUAGE_PAIRS
-    ]
-    BUILDER_CONFIG_CLASS = WikipediaConfig
-
-    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):
-        def _base_url(lang1, lang2):
-            return _BASE_URL.format(lang1, lang2)
-
-        download_url = _base_url(self.config.lang1, self.config.lang2)
-        path = dl_manager.download_and_extract(download_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