Convert dataset to Parquet (#2)

- Convert dataset to Parquet (27a86cff7fb1fb8c795447c1a1bc1740cf377133)
- Add de-es data files (99db408c91b0cbcae6e679635bf0317f1e138c55)
- Add de-fr data files (7cd01de5dfff112b57aad16c415e70d54ce32d7d)
- Add de-sv data files (ab170e0ebdff26ad1613e83021dfc75308b3a55d)
- Add en-es data files (13e321b02ba27116002d6389f8ff89510f72a471)
- Add en-fr data files (cfb82fc4492dd49c0c97972b178fb4e354b8d3ab)
- Add en-sv data files (16a38766525b85be04e5b504fe574cb3a352c8f4)
- Add es-fr data files (fcc3b920eb01ab279975ef09bf4fe2a7cf356704)
- Add es-sv data files (bdf6676d9a44000cd224324b64971449b9cf88a0)
- Add fr-sv data files (9941bfca3199c0312b680967be57ba7d8ce7be58)
- Delete loading script (a37dff01933e0b2626e92214ecccfab7d9100577)

README.md

@@ -20,8 +20,18 @@ source_datasets:
 task_categories:
 - translation
 task_ids: []
-paperswithcode_id: null
 pretty_name: OpusRf
+config_names:
+- de-en
+- de-es
+- de-fr
+- de-sv
+- en-es
+- en-fr
+- en-sv
+- es-fr
+- es-sv
+- fr-sv
 dataset_info:
 - config_name: de-en
   features:
@@ -35,10 +45,10 @@ dataset_info:
         - en
   splits:
   - name: train
-    num_bytes: 38683
+    num_bytes: 38671
     num_examples: 177
-  download_size: 16029
-  dataset_size: 38683
+  download_size: 25572
+  dataset_size: 38671
 - config_name: de-es
   features:
   - name: id
@@ -51,10 +61,10 @@ dataset_info:
         - es
   splits:
   - name: train
-    num_bytes: 2316
+    num_bytes: 2304
     num_examples: 24
-  download_size: 2403
-  dataset_size: 2316
+  download_size: 3690
+  dataset_size: 2304
 - config_name: de-fr
   features:
   - name: id
@@ -67,10 +77,10 @@ dataset_info:
         - fr
   splits:
   - name: train
-    num_bytes: 41300
+    num_bytes: 41288
     num_examples: 173
-  download_size: 16720
-  dataset_size: 41300
+  download_size: 26724
+  dataset_size: 41288
 - config_name: de-sv
   features:
   - name: id
@@ -83,10 +93,10 @@ dataset_info:
         - sv
   splits:
   - name: train
-    num_bytes: 37414
+    num_bytes: 37402
     num_examples: 178
-  download_size: 15749
-  dataset_size: 37414
+  download_size: 25101
+  dataset_size: 37402
 - config_name: en-es
   features:
   - name: id
@@ -99,10 +109,10 @@ dataset_info:
         - es
   splits:
   - name: train
-    num_bytes: 2600
+    num_bytes: 2588
     num_examples: 25
-  download_size: 2485
-  dataset_size: 2600
+  download_size: 3865
+  dataset_size: 2588
 - config_name: en-fr
   features:
   - name: id
@@ -115,10 +125,10 @@ dataset_info:
         - fr
   splits:
   - name: train
-    num_bytes: 39503
+    num_bytes: 39491
     num_examples: 175
-  download_size: 16038
-  dataset_size: 39503
+  download_size: 25966
+  dataset_size: 39491
 - config_name: en-sv
   features:
   - name: id
@@ -131,10 +141,10 @@ dataset_info:
         - sv
   splits:
   - name: train
-    num_bytes: 35778
+    num_bytes: 35766
     num_examples: 180
-  download_size: 15147
-  dataset_size: 35778
+  download_size: 24513
+  dataset_size: 35766
 - config_name: es-fr
   features:
   - name: id
@@ -147,10 +157,10 @@ dataset_info:
         - fr
   splits:
   - name: train
-    num_bytes: 2519
+    num_bytes: 2507
     num_examples: 21
-  download_size: 2469
-  dataset_size: 2519
+  download_size: 3789
+  dataset_size: 2507
 - config_name: es-sv
   features:
   - name: id
@@ -163,10 +173,10 @@ dataset_info:
         - sv
   splits:
   - name: train
-    num_bytes: 3110
+    num_bytes: 3098
     num_examples: 28
-  download_size: 2726
-  dataset_size: 3110
+  download_size: 4227
+  dataset_size: 3098
 - config_name: fr-sv
   features:
   - name: id
@@ -179,21 +189,51 @@ dataset_info:
         - sv
   splits:
   - name: train
-    num_bytes: 38627
+    num_bytes: 38615
     num_examples: 175
-  download_size: 15937
-  dataset_size: 38627
-config_names:
-- de-en
-- de-es
-- de-fr
-- de-sv
-- en-es
-- en-fr
-- en-sv
-- es-fr
-- es-sv
-- fr-sv
+  download_size: 25822
+  dataset_size: 38615
+configs:
+- config_name: de-en
+  data_files:
+  - split: train
+    path: de-en/train-*
+- config_name: de-es
+  data_files:
+  - split: train
+    path: de-es/train-*
+- config_name: de-fr
+  data_files:
+  - split: train
+    path: de-fr/train-*
+- config_name: de-sv
+  data_files:
+  - split: train
+    path: de-sv/train-*
+- config_name: en-es
+  data_files:
+  - split: train
+    path: en-es/train-*
+- config_name: en-fr
+  data_files:
+  - split: train
+    path: en-fr/train-*
+- config_name: en-sv
+  data_files:
+  - split: train
+    path: en-sv/train-*
+- config_name: es-fr
+  data_files:
+  - split: train
+    path: es-fr/train-*
+- config_name: es-sv
+  data_files:
+  - split: train
+    path: es-sv/train-*
+- config_name: fr-sv
+  data_files:
+  - split: train
+    path: fr-sv/train-*
 ---
 
 # Dataset Card for [Dataset Name]

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:486dc31e644104f0e77a8a226b8027cf414b170244d6382ef1f2cdcc4f60aa43
+size 25572

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e7ed65cda31725a47ef0e4802b010d1a25cf83ac68efb13a1368ca7e2cf4f9d
+size 3690

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31b40e78b3510ffc453ee0f617a638da1eaa57b4aec9ddba7fe11591536b0e36
+size 26724

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a5d33665aff0984e4e3b62900683acd59ab360a7fec510a1a4474c0e7cf3f76
+size 25101

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de1311edea8ad3b71c948671edcb3e3ac6aa97bca7fcd576a9f6ccc26e96af84
+size 3865

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:69123d88a3e6f110d5a98d989c05e70a3f7f37a9aef01da046386c7aee5a35d8
+size 25966

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5fa0b3a8142f997c06b534dd0dad44a6504a58b7410b57510e6d8efc0d608934
+size 24513

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e855aa057aa26776fa029c649f7e32fd794febd79e9278dabdfa872ca3e45d38
+size 3789

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fdf3fd4ead2942887b8a71df18eeb2b031d4ea0d9600c855caf9f598657515c4
+size 4227

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7da0b69fcf0a000604e981ef6f47b2cf710e85f3306a37b536fc9748984ebcba
+size 25822

opus_rf.py

@@ -1,139 +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.
-"""
-RF is a tiny parallel corpus of the Declarations of the Swedish Government and its translations.
-
-5 languages, 10 bitexts
-total number of files: 11
-total number of tokens: 19.74k
-total number of sentence fragments: 0.86k
-"""
-
-
-import os
-
-import datasets
-
-
-_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}
- }
-"""
-
-_DESCRIPTION = """\
-RF is a tiny parallel corpus of the Declarations of the Swedish Government and its translations.
-"""
-
-_HOMEPAGE = "http://opus.nlpl.eu/RF.php"
-
-_VERSION = "1.0.0"
-_BASE_NAME = "RF.{}.{}"
-_BASE_URL = "https://object.pouta.csc.fi/OPUS-RF/v1/moses/{}-{}.txt.zip"
-
-_LANGUAGE_PAIRS = [
-    ("de", "en"),
-    ("de", "es"),
-    ("de", "fr"),
-    ("de", "sv"),
-    ("en", "es"),
-    ("en", "fr"),
-    ("en", "sv"),
-    ("es", "fr"),
-    ("es", "sv"),
-    ("fr", "sv"),
-]
-
-
-class OpusRFTranslationsConfig(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 OpusRF(datasets.GeneratorBasedBuilder):
-    """RF is a tiny parallel corpus of the Declarations of the Swedish Government and its translations."""
-
-    BUILDER_CONFIGS = [
-        OpusRFTranslationsConfig(
-            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 = OpusRFTranslationsConfig
-
-    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):
-        """Returns SplitGenerators."""
-        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):
-        """Yields examples."""
-        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