Add an initial version of the CVSS datasets loading script.

cvss.py

@@ -0,0 +1,148 @@
+# Copyright 2022 The CVSS Dataset Authors and the dataset script contributor.
+# All Rights Reserved.
+#
+# 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.
+# ==============================================================================
+"""CVSS speech-to-speech translation corpus."""
+
+import os
+import datasets
+
+_HOMEPAGE = 'https://github.com/google-research-datasets/cvss'
+
+_DESCRIPTION = """\
+CVSS is a massively multilingual-to-English speech-to-speech translation corpus,
+covering sentence-level parallel speech-to-speech translation pairs from 21
+languages into English.
+"""
+
+_CITATION = """\
+@inproceedings{jia2022cvss,
+    title={{CVSS} Corpus and Massively Multilingual Speech-to-Speech Translation},
+    author={Jia, Ye and Tadmor Ramanovich, Michelle and Wang, Quan and Zen, Heiga},
+    booktitle={Proceedings of Language Resources and Evaluation Conference (LREC)},
+    pages={6691--6703},
+    year={2022}
+}
+"""
+
+_ROOT_URL = 'https://storage.googleapis.com/cvss'
+
+_ALL_LANGUAGES = ('de', 'fr', 'es', 'ca', 'it', 'ru', 'zh', 'pt', 'fa', 'et',
+                  'mn', 'nl', 'tr', 'ar', 'sv', 'lv', 'sl', 'ta', 'ja', 'id',
+                  'cy')
+
+
+def _get_download_urls(name='cvss_c', languages=_ALL_LANGUAGES, version='1.0'):
+  """Gets URLs for downloading data.
+
+  Args:
+    name: 'cvss_c' or 'cvss_t'.
+    languages: An iterable of source languages.
+    version: Only '1.0' available.
+
+  Returns:
+    A list of URL strs.
+  """
+  return [
+      f'{_ROOT_URL}/{name}_v{version}/{name}_{x}_en_v{version}.tar.gz'
+      for x in languages
+  ]
+
+
+class CVSSConfig(datasets.BuilderConfig):
+  """BuilderConfig for CVSS."""
+
+  def __init__(self, name, languages='all', **kwargs):
+    """BuilderConfig for CVSS.
+
+    Args:
+      name: 'cvss_c' or 'cvss_t'.
+      languages: A list of source languages.
+      **kwargs: keyword arguments forwarded to super.
+    """
+    super().__init__(name=name, **kwargs)
+    if languages == 'all':
+      self.languages = _ALL_LANGUAGES
+    elif isinstance(languages, str):
+      self.languages = [languages]
+    else:
+      self.languages = languages
+
+
+class CVSS(datasets.GeneratorBasedBuilder):
+  """CVSS dataset. Version 1.0."""
+
+  BUILDER_CONFIG_CLASS = CVSSConfig
+
+  VERSION = '1.0.0'
+
+  DEFAULT_WRITER_BATCH_SIZE = 256
+
+  def _info(self):
+    return datasets.DatasetInfo(
+        description=_DESCRIPTION,
+        homepage=_HOMEPAGE,
+        citation=_CITATION,
+        features=datasets.Features({
+            'id': datasets.Value('string'),
+            'file': datasets.Value('string'),
+            'audio': datasets.Audio(sampling_rate=24_000),
+            'text': datasets.Value('string'),
+        }))
+
+  def _split_generators(self, dl_manager):
+    print(self.config)
+    downloaded_files = dl_manager.download_and_extract(
+        _get_download_urls(self.config.name, self.config.languages))
+    return [
+        datasets.SplitGenerator(
+            name=datasets.Split.TRAIN,
+            gen_kwargs={
+                'files': downloaded_files,
+                'split': 'train'
+            }),
+        datasets.SplitGenerator(
+            name=datasets.Split.VALIDATION,
+            gen_kwargs={
+                'files': downloaded_files,
+                'split': 'dev'
+            }),
+        datasets.SplitGenerator(
+            name=datasets.Split.TEST,
+            gen_kwargs={
+                'files': downloaded_files,
+                'split': 'test'
+            }),
+    ]
+
+  def _generate_examples(self, files, split):
+    """Generates examples for each SplitGenerator."""
+    for path in files:
+      with open(os.path.join(path, f'{split}.tsv'), 'r', encoding='utf-8') as f:
+        for line in f:
+          cols = line.rstrip().split('\t')
+          assert len(cols) == 2, cols
+          key, text = cols
+
+          audio_path = os.path.join(path, split, f'{key}.wav')
+          with open(audio_path, 'rb') as audio_f:
+            audio_bytes = audio_f.read()
+
+          audio = {'path': audio_path, 'bytes': audio_bytes}
+          yield key, {
+              'id': key,
+              'text': text,
+              'audio': audio,
+              'file': audio_path,
+          }