Upload jv_id_tts.py with huggingface_hub

jv_id_tts.py

@@ -5,14 +5,14 @@ from typing import List
 
 import datasets
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import (DEFAULT_NUSANTARA_VIEW_NAME,
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import (DEFAULT_SEACROWD_VIEW_NAME, Licenses,
                                        DEFAULT_SOURCE_VIEW_NAME, Tasks)
 
 _DATASETNAME = "jv_id_tts"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _LANGUAGES = ["jav"]
 _LOCAL = False
@@ -38,7 +38,7 @@ This dataset was collected by Google in collaboration with Gadjah Mada Universit
 
 _HOMEPAGE = "http://openslr.org/41/"
 
-_LICENSE = "See https://www.openslr.org/resources/41/LICENSE file for license information. Attribution-ShareAlike 4.0 (CC BY-SA 4.0)."
+_LICENSE = Licenses.CC_BY_SA_4_0.value
 
 _URLs = {
     _DATASETNAME: {
@@ -50,25 +50,25 @@ _URLs = {
 _SUPPORTED_TASKS = [Tasks.TEXT_TO_SPEECH]
 
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class JvIdTTS(datasets.GeneratorBasedBuilder):
     """jv_id_tts contains high-quality Multi-speaker TTS data for Javanese (jv-ID)."""
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="jv_id_tts_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="JV_ID_TTS source schema",
             schema="source",
             subset_id="jv_id_tts",
         ),
-        NusantaraConfig(
-            name="jv_id_tts_nusantara_sptext",
-            version=datasets.Version(_NUSANTARA_VERSION),
+        SEACrowdConfig(
+            name="jv_id_tts_seacrowd_sptext",
+            version=datasets.Version(_SEACROWD_VERSION),
             description="JV_ID_TTS Nusantara schema",
-            schema="nusantara_sptext",
+            schema="seacrowd_sptext",
             subset_id="jv_id_tts",
         ),
     ]
@@ -86,7 +86,7 @@ class JvIdTTS(datasets.GeneratorBasedBuilder):
                     "text": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_sptext":
+        elif self.config.schema == "seacrowd_sptext":
             features = schemas.speech_text_features
 
         return datasets.DatasetInfo(
@@ -114,7 +114,7 @@ class JvIdTTS(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, male_filepath: Path, female_filepath: Path):
 
-        if self.config.schema == "source" or self.config.schema == "nusantara_sptext":
+        if self.config.schema == "source" or self.config.schema == "seacrowd_sptext":
             tsv_file = os.path.join(male_filepath, "jv_id_male", "line_index.tsv")
             with open(tsv_file, "r") as file:
                 tsv_data = csv.reader(file, delimiter="\t")
@@ -135,7 +135,7 @@ class JvIdTTS(datasets.GeneratorBasedBuilder):
                                 "text": transcription_text,
                             }
                             yield audio_id, ex
-                        elif self.config.schema == "nusantara_sptext":
+                        elif self.config.schema == "seacrowd_sptext":
                             ex = {
                                 "id": audio_id,
                                 "speaker_id": speaker_id,
@@ -168,7 +168,7 @@ class JvIdTTS(datasets.GeneratorBasedBuilder):
                                 "text": transcription_text,
                             }
                             yield audio_id, ex
-                        elif self.config.schema == "nusantara_sptext":
+                        elif self.config.schema == "seacrowd_sptext":
                             ex = {
                                 "id": audio_id,
                                 "speaker_id": speaker_id,