Convert dataset to Parquet

README.md

@@ -42,8 +42,18 @@ source_datasets:
 task_categories:
 - translation
 task_ids: []
-paperswithcode_id: null
 pretty_name: OpusDgt
+config_names:
+- bg-ga
+- bg-hr
+- bg-sh
+- es-ga
+- fi-ga
+- ga-nl
+- ga-sh
+- hr-sk
+- hr-sv
+- mt-sh
 dataset_info:
 - config_name: bg-ga
   features:
@@ -57,10 +67,10 @@ dataset_info:
         - ga
   splits:
   - name: train
-    num_bytes: 82972428
+    num_bytes: 82972212
     num_examples: 179142
-  download_size: 15935979
-  dataset_size: 82972428
+  download_size: 32909143
+  dataset_size: 82972212
 - config_name: bg-hr
   features:
   - name: id
@@ -73,10 +83,10 @@ dataset_info:
         - hr
   splits:
   - name: train
-    num_bytes: 239828651
+    num_bytes: 239827799
     num_examples: 701572
-  download_size: 46804111
-  dataset_size: 239828651
+  download_size: 95163332
+  dataset_size: 239827799
 - config_name: bg-sh
   features:
   - name: id
@@ -89,10 +99,26 @@ dataset_info:
         - sh
   splits:
   - name: train
-    num_bytes: 498884905
+    num_bytes: 498883117
     num_examples: 1488507
-  download_size: 97402723
-  dataset_size: 498884905
+  download_size: 197907658
+  dataset_size: 498883117
+- config_name: es-ga
+  features:
+  - name: id
+    dtype: string
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - es
+        - ga
+  splits:
+  - name: train
+    num_bytes: 63115450
+    num_examples: 178696
+  download_size: 27625395
+  dataset_size: 63115450
 - config_name: fi-ga
   features:
   - name: id
@@ -105,11 +131,11 @@ dataset_info:
         - ga
   splits:
   - name: train
-    num_bytes: 61313136
+    num_bytes: 61312920
     num_examples: 178619
-  download_size: 14385114
-  dataset_size: 61313136
-- config_name: es-ga
+  download_size: 27498616
+  dataset_size: 61312920
+- config_name: ga-nl
   features:
   - name: id
     dtype: string
@@ -117,14 +143,14 @@ dataset_info:
     dtype:
       translation:
         languages:
-        - es
         - ga
+        - nl
   splits:
   - name: train
-    num_bytes: 63115666
-    num_examples: 178696
-  download_size: 14447359
-  dataset_size: 63115666
+    num_bytes: 59065358
+    num_examples: 170644
+  download_size: 26024485
+  dataset_size: 59065358
 - config_name: ga-sh
   features:
   - name: id
@@ -137,10 +163,10 @@ dataset_info:
         - sh
   splits:
   - name: train
-    num_bytes: 28666585
+    num_bytes: 28666465
     num_examples: 91613
-  download_size: 6963357
-  dataset_size: 28666585
+  download_size: 13309478
+  dataset_size: 28666465
 - config_name: hr-sk
   features:
   - name: id
@@ -153,26 +179,10 @@ dataset_info:
         - sk
   splits:
   - name: train
-    num_bytes: 170718371
+    num_bytes: 170717543
     num_examples: 689263
-  download_size: 42579941
-  dataset_size: 170718371
-- config_name: mt-sh
-  features:
-  - name: id
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - mt
-        - sh
-  splits:
-  - name: train
-    num_bytes: 368562443
-    num_examples: 1450424
-  download_size: 88598048
-  dataset_size: 368562443
+  download_size: 79828239
+  dataset_size: 170717543
 - config_name: hr-sv
   features:
   - name: id
@@ -185,11 +195,11 @@ dataset_info:
         - sv
   splits:
   - name: train
-    num_bytes: 171858392
+    num_bytes: 171857552
     num_examples: 696334
-  download_size: 41410203
-  dataset_size: 171858392
-- config_name: ga-nl
+  download_size: 77567933
+  dataset_size: 171857552
+- config_name: mt-sh
   features:
   - name: id
     dtype: string
@@ -197,25 +207,55 @@ dataset_info:
     dtype:
       translation:
         languages:
-        - ga
-        - nl
+        - mt
+        - sh
   splits:
   - name: train
-    num_bytes: 59065574
-    num_examples: 170644
-  download_size: 13730934
-  dataset_size: 59065574
-config_names:
-- bg-ga
-- bg-hr
-- bg-sh
-- es-ga
-- fi-ga
-- ga-nl
-- ga-sh
-- hr-sk
-- hr-sv
-- mt-sh
+    num_bytes: 368560691
+    num_examples: 1450424
+  download_size: 166554923
+  dataset_size: 368560691
+configs:
+- config_name: bg-ga
+  data_files:
+  - split: train
+    path: bg-ga/train-*
+- config_name: bg-hr
+  data_files:
+  - split: train
+    path: bg-hr/train-*
+- config_name: bg-sh
+  data_files:
+  - split: train
+    path: bg-sh/train-*
+- config_name: es-ga
+  data_files:
+  - split: train
+    path: es-ga/train-*
+- config_name: fi-ga
+  data_files:
+  - split: train
+    path: fi-ga/train-*
+- config_name: ga-nl
+  data_files:
+  - split: train
+    path: ga-nl/train-*
+- config_name: ga-sh
+  data_files:
+  - split: train
+    path: ga-sh/train-*
+- config_name: hr-sk
+  data_files:
+  - split: train
+    path: hr-sk/train-*
+- config_name: hr-sv
+  data_files:
+  - split: train
+    path: hr-sv/train-*
+- config_name: mt-sh
+  data_files:
+  - split: train
+    path: mt-sh/train-*
 ---
 
 # Dataset Card for OpusDgt

bg-ga/train-00000-of-00001.parquet

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+oid sha256:d000371daa9e18108df07efe32141f0479c052bc47f5aceccf7da592401ca30a
+size 32909143

bg-hr/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a7f1c4a799a67626d717564a4df33e26c11ec799ba9a4ecd6d360b5521eaa055
+size 95163332

bg-sh/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1fc14282e01314a3e59122d2fed436580d30490c985c2a9b625f5a63a40b7e36
+size 197907658

es-ga/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bf1322c4a02de86f81a0b4c56bd1a719488c04a0ef6db7a51fad1939c932c8f9
+size 27625395

fi-ga/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c2dd2b5c8f44891753fcb00aafbb2411034a2c8afa7e0ecc2c1bb5fd41cfa6ef
+size 27498616

ga-nl/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4fbc3d83810559add9387b604a2dc041ed7c33ee69b352ccaf86d5035d23cc0f
+size 26024485

ga-sh/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3349ec1795900cc1a5f21b80e705f27f41c122311fbcd6f3cdceec97856a393d
+size 13309478

hr-sk/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e76939826ce355249a108726b54a8859274ae298732e19ffab97488e32be94e
+size 79828239

hr-sv/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48a2d633703e80cf9a8e11672a6c31dca35f3c780d9d3cdf784fa024ba3bbe34
+size 77567933

mt-sh/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:91527d7322e5054f9faf132d79068948f0f0cf060e179d4c3a51951714587c20
+size 166554923

opus_dgt.py

@@ -1,132 +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 = """\
-A collection of translation memories provided by the JRC. Source: https://ec.europa.eu/jrc/en/language-technologies/dgt-translation-memory
-25 languages, 299 bitexts
-total number of files: 817,410
-total number of tokens: 2.13G
-total number of sentence fragments: 113.52M
-"""
-_HOMEPAGE_URL = "http://opus.nlpl.eu/DGT.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 = "DGT.{}.{}"
-_BASE_URL = "https://object.pouta.csc.fi/OPUS-DGT/v2019/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 = [
-    ("bg", "ga"),
-    ("bg", "hr"),
-    ("bg", "sh"),
-    ("fi", "ga"),
-    ("es", "ga"),
-    ("ga", "sh"),
-    ("hr", "sk"),
-    ("mt", "sh"),
-    ("hr", "sv"),
-    ("ga", "nl"),
-]
-
-
-class DgtConfig(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 OpusDgt(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        DgtConfig(
-            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 = DgtConfig
-
-    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