adding dataset config

multispeaker-tt-sinhala.py

@@ -0,0 +1,105 @@
+import gzip
+import json
+import re
+import os
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+_DESCRIPTION = """\
+This data set contains multi-speaker high quality transcribed audio data for Sinhalese. The data set consists of wave files, and a TSV file. 
+The file si_lk.lines.txt contains a FileID, which in tern contains the UserID and the Transcription of audio in the file.
+The data set has been manually quality checked, but there might still be errors.
+
+This dataset was collected by Google in Sri Lanka.
+"""
+_CITATION = """
+@inproceedings{kjartansson-etal-tts-sltu2018,
+    title = {{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},
+    author = {Keshan Sodimana and Knot Pipatsrisawat and Linne Ha and Martin Jansche and Oddur Kjartansson and Pasindu De Silva and Supheakmungkol Sarin},
+    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},
+    year  = {2018},
+    address = {Gurugram, India},
+    month = aug,
+    pages = {66--70},
+    URL   = {http://dx.doi.org/10.21437/SLTU.2018-14}
+}
+"""
+_URL = "https://www.openslr.org/30/"
+_DATA_URL = "https://www.openslr.org/resources/30/si_lk.tar.gz"
+_LICENSE = "https://www.openslr.org/resources/30/LICENSE.txt"
+_LANGUAGES = [
+    "si",
+]
+
+
+class SiTTSConfig(datasets.BuilderConfig):
+    """BuilderConfig for SiTTS."""
+
+    def __init__(self, *args, languages, **kwargs):
+        """BuilderConfig for SiTTS.
+        Args:
+            languages (:obj:`List[str]`): list of languages to load
+            **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(
+            *args, name="+".join(languages), **kwargs,
+        )
+        self.languages = languages
+
+
+class SiTTS(datasets.GeneratorBasedBuilder):
+    """SiTTS, a  manually quality checked, Sinhala multi-speaker TTS corpora."""
+
+    BUILDER_CONFIGS = [SiTTSConfig(languages=[lang]) for lang in _LANGUAGES]
+    BUILDER_CONFIG_CLASS = SiTTSConfig
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "sentence": datasets.Value("string"),
+                    "file_path": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_URL,
+            citation=_CITATION,
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+        abs_path_to_clips = dl_manager.download_and_extract(_DATA_URL)
+        abs_path_to_data = dl_manager.download(f"{_URL}si_lk.lines.txt")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": os.path.join(abs_path_to_data, "si_lk.lines.txt"),
+                    "path_to_clips": abs_path_to_clips,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, path_to_clips):
+        data_fields = list(self._info().features.keys())
+        path_idx = data_fields.index("file_path")
+
+        with open(filepath, encoding="utf-8") as f:
+            lines = f.readlines()
+
+            for id_, line in enumerate(lines):
+                sentence = re.findall(r'"(.*?)"', line)[0].strip()
+                file_path = f'{re.findall(r"(sin_[^\s]+)", line)[0]}.wav'
+                field_values = [sentence, file_path]
+
+                # set absolute path for wav audio file
+                field_values[path_idx] = os.path.join(
+                    path_to_clips, field_values[path_idx]
+                )
+
+                # if data is incomplete, fill with empty values
+                if len(field_values) < len(data_fields):
+                    field_values += (len(data_fields) - len(field_values)) * ["''"]
+
+                yield id_, {key: value for key, value in zip(data_fields, field_values)}