Adding corpus management script

macocu.py

@@ -0,0 +1,112 @@
+# 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.
+"""macocu_parallel"""
+
+
+import os
+import csv
+import datasets
+
+
+_CITATION = """\
+@inproceedings{banon2022macocu,
+  title={MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages},
+  author={Ban{\'o}n, Marta and Espla-Gomis, Miquel and Forcada, Mikel L and Garc{\'\i}a-Romero, Cristian and Kuzman, Taja and Ljube{\v{s}}i{\'c}, Nikola and van Noord, Rik and Sempere, Leopoldo Pla and Ram{\'\i}rez-S{\'a}nchez, Gema and Rupnik, Peter and others},
+  booktitle={23rd Annual Conference of the European Association for Machine Translation, EAMT 2022},
+  pages={303--304},
+  year={2022},
+  organization={European Association for Machine Translation}
+}
+"""
+
+_DESCRIPTION = """\
+The MaCoCu parallel dataset is an English-centric collection of 11
+parallel corpora including the following languages: Albanian,
+Bulgarian, Bosnian, Croatian, Icelandic, Macedonian, Maltese,
+Montenegrin, Serbian, Slovenian, and Turkish. These corpora have
+been automatically crawled from national and generic top-level
+domains (for example, ".hr" for croatian, or ".is" for icelandic);
+then, a parallel curation pipeline has been applied to produce
+the final data (see https://github.com/bitextor/bitextor).
+"""
+
+_URL = {
+    "evaluation": "https://object.pouta.csc.fi/Tatoeba-Challenge-devtest/test.tar",
+    "development": "https://object.pouta.csc.fi/Tatoeba-Challenge-devtest/dev.tar",
+}
+
+# _RELEASE = "v2021-08-07"
+# _RELEASES = [ "v2020-07-28", "v2021-03-30", "v2021-08-07", ]
+_LanguagePairs = [ "en-bs", "en-bg", "en-is", "en-hr", "en-sq", "en-mt", "en-mk", "en-cnr", "en-sr", "en-sl", "en-tr" ]
+
+_LICENSE = "cc0"
+_HOMEPAGE = "https://macocu.eu"
+
+class macocuConfig(datasets.BuilderConfig):
+    """BuilderConfig for macocu_parallel"""
+
+    def __init__(self, language_pair, **kwargs):
+        super().__init__(**kwargs)
+        """
+
+        Args:
+            language_pair: language pair to be loaded
+            **kwargs: keyword arguments forwarded to super.
+        """
+        self.language_pair = language_pair
+
+
+class MaCoCu_parallel(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIG_CLASS = macocuConfig
+    BUILDER_CONFIGS = [
+        macocuConfig(name=pair, description=_DESCRIPTION, language_pair=pair )
+        for pair in _LanguagePairs
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                "sourceString": datasets.Value("string"),
+                "targetString": datasets.Value("string")
+            }),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            license=_LICENSE
+        )
+
+    def _split_generators(self, dl_manager):
+
+        lang_pair = self.config.language_pair
+        
+        path = os.path.join("data", f"{lang_pair}.macocuv2.tsv")
+        
+        data_file = dl_manager.download_and_extract({"data_file": path})
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=data_file)]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.reader(f, delimiter="\t", quotechar='"')
+            for id_, row in enumerate(reader):
+                if id_ == 0:
+                    continue
+                yield id_, {
+                    "sourceString": row[0],
+                    "targetString": row[1]
+                }
+