First version of common_voice_11_0_eues dataset

common_voice_11_0_eues.py

@@ -0,0 +1,108 @@
+# coding=utf-8
+# Copyright 2023 Mikel Penagarikano
+#
+# 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
+"""Albayzin automatic speech recognition  dataset.
+"""
+
+import os
+from pathlib import Path
+
+import datasets
+from datasets.tasks import AutomaticSpeechRecognition
+from datasets.utils import logging
+from random import shuffle
+import re
+
+_CITATION = """\
+"""
+
+_DESCRIPTION = """\
+"""
+
+_HOMEPAGE = ""
+
+
+class CommonVoiceEUESConfig(datasets.BuilderConfig):
+    """BuilderConfig for Common Voice Mixed."""
+
+    def __init__(self, **kwargs):
+        """
+        Args:
+          data_dir: `string`, the path to the folder containing the files in the
+            downloaded .tar
+          citation: `string`, citation for the data set
+          url: `string`, url for information about the data set
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(CommonVoiceEUESConfig, self).__init__(version=datasets.Version("11.0.0", ""), **kwargs)
+
+
+class CommonVoiceEUES(datasets.GeneratorBasedBuilder):
+    """Common Voice Mixed dataset."""
+
+    BUILDER_CONFIGS = [CommonVoiceEUESConfig(name="eues", description="eu+es joint configuration.")]
+
+    CV_EU_ARGS = ['mozilla-foundation/common_voice_11_0','eu']
+    print('Loading',*CV_EU_ARGS)
+    CV_EU_INFO = datasets.load_dataset_builder(*CV_EU_ARGS)
+    CV_EU = datasets.load_dataset(*CV_EU_ARGS)
+    CV_ES_ARGS = ['mozilla-foundation/common_voice_11_0','es']
+    print('Loading',*CV_ES_ARGS)
+    CV_ES_INFO = datasets.load_dataset_builder(*CV_ES_ARGS)
+    CV_ES = datasets.load_dataset(*CV_ES_ARGS)
+    assert CV_EU_INFO.info.features == CV_ES_INFO.info.features
+
+    def _info(self):
+        features = self.CV_EU_INFO.info.features.copy()
+        features['simplified_sentence'] = datasets.Value('string')
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        split_generators = []
+        for name in self.CV_EU_INFO.info.splits.keys():
+            split_generators.append(
+                datasets.SplitGenerator(
+                    name=name ,
+                    gen_kwargs={"split":name}
+                )
+            )
+
+        return split_generators
+    
+    _TRANTAB = str.maketrans('áéíóúÁÉÍÓÚüÜv', 'aeiouaeiouuub')
+    _ALPHABET_PATTERN = re.compile('[^abcdefghijklmnñopqrstuvwxyz ]+')
+    def _simplyfy(self,txt):
+        txt = txt.lower()
+        txt = txt.translate(self._TRANTAB)
+        txt = txt.replace('ch','X').replace('h','').replace('X','ch')
+        txt = self._ALPHABET_PATTERN.sub(' ',txt)
+        return ' '.join(txt.split())
+
+    def _generate_examples(self, split):
+        index = ([0] * len(self.CV_EU[split])) + ([1] * len(self.CV_ES[split]))
+        shuffle(index)
+        it = ( iter(self.CV_EU[split]) , iter(self.CV_ES[split]) )
+        print('\n************************  ELIMINAR [:2000] ***************')
+        for key,lang in enumerate(index[:2000]) :
+            feature = next(it[lang])
+            feature['simplified_sentence'] = self._simplyfy(feature['sentence'])
+            yield key,feature
+