Convert dataset to Parquet (#2)

- Convert dataset to Parquet (89a0293708fe02a73b24fd213d7823f527377bee)
- Add en-km data files (1f3fdc43106f5b5b7c6a21f5cf5c89d2b9338a63)
- Add en-so data files (8ea51e90c9bfac12b2282fc3aac5aca4ec9b7202)
- Add de-pl data files (d228146b571a3e2a3f2fdf77ca6690e4c78aa85b)
- Add fr-nl data files (b55469b73fc3ed5d747168ede03fa13fcb2ae78b)
- Add en-sw data files (048acf312a960d27e40b495d8143d67bca31887d)
- Add en-tl data files (668d6e5626ea04292384e74a758cd564d9b438a0)
- Add es-gl data files (a5b056900ed339c2a835b3fb0431ccfa8c7d2bb7)
- Delete loading script (915521e9f39dd1a14dc17e01927b41df8cd83824)

README.md

@@ -58,9 +58,35 @@ source_datasets:
 task_categories:
 - translation
 task_ids: []
-paperswithcode_id: null
 pretty_name: OpusParaCrawl
+config_names:
+- de-pl
+- el-en
+- en-ha
+- en-ig
+- en-km
+- en-so
+- en-sw
+- en-tl
+- es-gl
+- fr-nl
 dataset_info:
+- config_name: de-pl
+  features:
+  - name: id
+    dtype: string
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - de
+        - pl
+  splits:
+  - name: train
+    num_bytes: 298635927
+    num_examples: 916643
+  download_size: 183957290
+  dataset_size: 298635927
 - config_name: el-en
   features:
   - name: id
@@ -73,10 +99,10 @@ dataset_info:
         - en
   splits:
   - name: train
-    num_bytes: 6760375061
+    num_bytes: 6760349369
     num_examples: 21402471
-  download_size: 2317102846
-  dataset_size: 6760375061
+  download_size: 4108379167
+  dataset_size: 6760349369
 - config_name: en-ha
   features:
   - name: id
@@ -121,10 +147,10 @@ dataset_info:
         - km
   splits:
   - name: train
-    num_bytes: 31964493
+    num_bytes: 31964409
     num_examples: 65115
-  download_size: 9907279
-  dataset_size: 31964493
+  download_size: 16582595
+  dataset_size: 31964409
 - config_name: en-so
   features:
   - name: id
@@ -137,42 +163,10 @@ dataset_info:
         - so
   splits:
   - name: train
-    num_bytes: 5791003
+    num_bytes: 5790979
     num_examples: 14880
-  download_size: 2227727
-  dataset_size: 5791003
-- config_name: de-pl
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - de
-        - pl
-  splits:
-  - name: train
-    num_bytes: 298637031
-    num_examples: 916643
-  download_size: 106891602
-  dataset_size: 298637031
-- config_name: fr-nl
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - fr
-        - nl
-  splits:
-  - name: train
-    num_bytes: 862303220
-    num_examples: 2687673
-  download_size: 319804705
-  dataset_size: 862303220
+  download_size: 3718608
+  dataset_size: 5790979
 - config_name: en-sw
   features:
   - name: id
@@ -185,10 +179,10 @@ dataset_info:
         - sw
   splits:
   - name: train
-    num_bytes: 44264442
+    num_bytes: 44264274
     num_examples: 132520
-  download_size: 18611087
-  dataset_size: 44264442
+  download_size: 30553316
+  dataset_size: 44264274
 - config_name: en-tl
   features:
   - name: id
@@ -201,10 +195,10 @@ dataset_info:
         - tl
   splits:
   - name: train
-    num_bytes: 82502798
+    num_bytes: 82502498
     num_examples: 248689
-  download_size: 32933118
-  dataset_size: 82502798
+  download_size: 54686324
+  dataset_size: 82502498
 - config_name: es-gl
   features:
   - name: id
@@ -217,21 +211,59 @@ dataset_info:
         - gl
   splits:
   - name: train
-    num_bytes: 582660901
+    num_bytes: 582658645
     num_examples: 1879689
-  download_size: 236696353
-  dataset_size: 582660901
-config_names:
-- de-pl
-- el-en
-- en-ha
-- en-ig
-- en-km
-- en-so
-- en-sw
-- en-tl
-- es-gl
-- fr-nl
+  download_size: 406732310
+  dataset_size: 582658645
+- config_name: fr-nl
+  features:
+  - name: id
+    dtype: string
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - fr
+        - nl
+  splits:
+  - name: train
+    num_bytes: 862299992
+    num_examples: 2687673
+  download_size: 550812954
+  dataset_size: 862299992
+configs:
+- config_name: de-pl
+  data_files:
+  - split: train
+    path: de-pl/train-*
+- config_name: el-en
+  data_files:
+  - split: train
+    path: el-en/train-*
+- config_name: en-km
+  data_files:
+  - split: train
+    path: en-km/train-*
+- config_name: en-so
+  data_files:
+  - split: train
+    path: en-so/train-*
+- config_name: en-sw
+  data_files:
+  - split: train
+    path: en-sw/train-*
+- config_name: en-tl
+  data_files:
+  - split: train
+    path: en-tl/train-*
+- config_name: es-gl
+  data_files:
+  - split: train
+    path: es-gl/train-*
+- config_name: fr-nl
+  data_files:
+  - split: train
+    path: fr-nl/train-*
 ---
 
 # Dataset Card for OpusParaCrawl

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

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+size 183957290

el-en/train-00000-of-00014.parquet

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+size 293608487

el-en/train-00001-of-00014.parquet

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+size 293628636

el-en/train-00002-of-00014.parquet

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+size 293478941

el-en/train-00003-of-00014.parquet

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el-en/train-00005-of-00014.parquet

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el-en/train-00006-of-00014.parquet

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el-en/train-00007-of-00014.parquet

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el-en/train-00008-of-00014.parquet

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el-en/train-00012-of-00014.parquet

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el-en/train-00013-of-00014.parquet

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

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+size 16582595

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

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

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

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+size 54686324

es-gl/train-00000-of-00002.parquet

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es-gl/train-00001-of-00002.parquet

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fr-nl/train-00000-of-00002.parquet

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fr-nl/train-00001-of-00002.parquet

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opus_paracrawl.py

@@ -1,155 +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 = """\
-Parallel corpora from Web Crawls collected in the ParaCrawl project.
-
-42 languages, 43 bitexts
-total number of files: 59,996
-total number of tokens: 56.11G
-total number of sentence fragments: 3.13G
-"""
-_HOMEPAGE = "http://opus.nlpl.eu/ParaCrawl.php"
-_CITATION = r"""\
-@inproceedings{banon-etal-2020-paracrawl,
-    title = "{P}ara{C}rawl: Web-Scale Acquisition of Parallel Corpora",
-    author = "Ba{\~n}{\'o}n, Marta  and
-      Chen, Pinzhen  and
-      Haddow, Barry  and
-      Heafield, Kenneth  and
-      Hoang, Hieu  and
-      Espl{\`a}-Gomis, Miquel  and
-      Forcada, Mikel L.  and
-      Kamran, Amir  and
-      Kirefu, Faheem  and
-      Koehn, Philipp  and
-      Ortiz Rojas, Sergio  and
-      Pla Sempere, Leopoldo  and
-      Ram{\'\i}rez-S{\'a}nchez, Gema  and
-      Sarr{\'\i}as, Elsa  and
-      Strelec, Marek  and
-      Thompson, Brian  and
-      Waites, William  and
-      Wiggins, Dion  and
-      Zaragoza, Jaume",
-    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
-    month = jul,
-    year = "2020",
-    address = "Online",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/2020.acl-main.417",
-    doi = "10.18653/v1/2020.acl-main.417",
-    pages = "4555--4567",
-}
-@InProceedings{TIEDEMANN12.463,
-  author = {Jörg 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 Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
-  publisher = {European Language Resources Association (ELRA)},
-  isbn = {978-2-9517408-7-7},
-  language = {english}
-}
-"""
-
-_VERSION = "9.0.0"
-_BASE_NAME = "ParaCrawl.{}.{}"
-_BASE_URL = "https://object.pouta.csc.fi/OPUS-ParaCrawl/v9/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 = [
-    ("el", "en"),
-    ("en", "km"),
-    ("en", "so"),
-    ("de", "pl"),
-    ("fr", "nl"),
-    ("en", "sw"),
-    ("en", "tl"),
-    ("es", "gl"),
-]
-
-
-class ParaCrawlConfig(datasets.BuilderConfig):
-    def __init__(self, *args, lang1=None, lang2=None, **kwargs):
-        super().__init__(
-            *args,
-            name=f"{lang1}-{lang2}",
-            **kwargs,
-        )
-        assert lang1 != lang2, "'language 1' & 'language 2' should be different from each other"
-        self.lang1 = lang1
-        self.lang2 = lang2
-
-
-class OpusParaCrawl(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        ParaCrawlConfig(
-            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 = ParaCrawlConfig
-
-    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,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        download_url = _BASE_URL.format(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):
-        lang1, lang2 = self.config.lang1, self.config.lang2
-        folder = lang1 + "-" + lang2
-        lang1_filename = _BASE_NAME.format(folder, lang1)
-        lang2_filename = _BASE_NAME.format(folder, lang2)
-        lang1_path = os.path.join(datapath, lang1_filename)
-        lang2_path = os.path.join(datapath, lang2_filename)
-        with open(lang1_path, encoding="utf-8") as f1, open(lang2_path, encoding="utf-8") as f2:
-            for id_, (lang1_sentence, lang2_sentence) in enumerate(zip(f1, f2)):
-                lang1_sentence = lang1_sentence.strip()
-                lang2_sentence = lang2_sentence.strip()
-                yield id_, {
-                    "id": str(id_),
-                    "translation": {lang1: lang1_sentence, lang2: lang2_sentence},
-                }