Convert dataset to Parquet (#5)

- Convert dataset to Parquet (a57afcf9e7e181d9f5071a55a68e469b37742f27)
- Delete loading script (243ca79cdd98100f5eb14af1fc8f060e8876649f)

README.md

@@ -31,8 +31,14 @@ dataset_info:
   - name: train
     num_bytes: 139038886
     num_examples: 637183
-  download_size: 57244346
+  download_size: 96930125
   dataset_size: 139038886
+configs:
+- config_name: es-eu
+  data_files:
+  - split: train
+    path: es-eu/train-*
+  default: true
 ---
 
 # Dataset Card for EiTB-ParCC

eitb_parcc.py

@@ -1,132 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The 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.
-"""EiTB-ParCC: Parallel Corpus of Comparable News"""
-
-
-import os
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{etchegoyhen-gete-2020-handle,
-    title = "Handle with Care: A Case Study in Comparable Corpora Exploitation for Neural Machine Translation",
-    author = "Etchegoyhen, Thierry  and
-      Gete, Harritxu",
-    editor = "Calzolari, Nicoletta  and
-      B{\'e}chet, Fr{\'e}d{\'e}ric  and
-      Blache, Philippe  and
-      Choukri, Khalid  and
-      Cieri, Christopher  and
-      Declerck, Thierry  and
-      Goggi, Sara  and
-      Isahara, Hitoshi  and
-      Maegaard, Bente  and
-      Mariani, Joseph  and
-      Mazo, H{\'e}l{\`e}ne  and
-      Moreno, Asuncion  and
-      Odijk, Jan  and
-      Piperidis, Stelios",
-    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
-    month = may,
-    year = "2020",
-    address = "Marseille, France",
-    publisher = "European Language Resources Association",
-    url = "https://aclanthology.org/2020.lrec-1.469",
-    pages = "3799--3807",
-    language = "English",
-    ISBN = "979-10-95546-34-4",
-}
-@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 = """\
-EiTB-ParCC: Parallel Corpus of Comparable News. A Basque-Spanish parallel corpus provided by \
-Vicomtech (https://www.vicomtech.org), extracted from comparable news produced by the \
-Basque public broadcasting group Euskal Irrati Telebista.
-"""
-
-
-_HOMEPAGE = "https://opus.nlpl.eu/EiTB-ParCC/corpus/version/EiTB-ParCC"
-
-_URL = "https://object.pouta.csc.fi/OPUS-EiTB-ParCC/v1/moses/es-eu.txt.zip"
-
-
-class EitbParcc(datasets.GeneratorBasedBuilder):
-    """EiTB-ParCC: Parallel Corpus of Comparable News"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="es-eu", version=datasets.Version("1.0.0"), description="A Basque-Spanish parallel"
-        )
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {"translation": datasets.features.Translation(languages=tuple(self.config.name.split("-")))}
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        lang_pair = self.config.name.split("-")
-        data_dir = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "source_file": os.path.join(data_dir, f"EiTB-ParCC.{self.config.name}.{lang_pair[0]}"),
-                    "target_file": os.path.join(data_dir, f"EiTB-ParCC.{self.config.name}.{lang_pair[1]}"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, source_file, target_file):
-        with open(source_file, encoding="utf-8") as f:
-            source_sentences = f.read().split("\n")
-        with open(target_file, encoding="utf-8") as f:
-            target_sentences = f.read().split("\n")
-
-        assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
-            len(source_sentences),
-            len(target_sentences),
-            source_file,
-            target_file,
-        )
-
-        source, target = tuple(self.config.name.split("-"))
-        for idx, (l1, l2) in enumerate(zip(source_sentences, target_sentences)):
-            result = {"translation": {source: l1, target: l2}}
-            yield idx, result

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

@@ -0,0 +1,3 @@
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+oid sha256:2f844d5a6f1635c8efaf958e079c221c45c5a89ebd28dbbbcbdbf377413919bd
+size 96930125