Upload su_id_tts.py with huggingface_hub

su_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,
                                        DEFAULT_SOURCE_VIEW_NAME, Tasks)
 
 _DATASETNAME = "su_id_tts"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _LANGUAGES = ["sun"]
 _LOCAL = False
@@ -47,25 +47,25 @@ _URLs = {
 _SUPPORTED_TASKS = [Tasks.TEXT_TO_SPEECH]
 
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class SuIdTTS(datasets.GeneratorBasedBuilder):
     """su_id_tts contains high-quality Multi-speaker TTS data for Sundanese (SU-ID)."""
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="su_id_tts_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="SU_ID_TTS source schema",
             schema="source",
             subset_id="su_id_tts",
         ),
-        NusantaraConfig(
-            name="su_id_tts_nusantara_sptext",
-            version=datasets.Version(_NUSANTARA_VERSION),
+        SEACrowdConfig(
+            name="su_id_tts_seacrowd_sptext",
+            version=datasets.Version(_SEACROWD_VERSION),
             description="SU_ID_TTS Nusantara schema",
-            schema="nusantara_sptext",
+            schema="seacrowd_sptext",
             subset_id="su_id_tts",
         ),
     ]
@@ -84,7 +84,7 @@ class SuIdTTS(datasets.GeneratorBasedBuilder):
                     "gender": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_sptext":
+        elif self.config.schema == "seacrowd_sptext":
             features = schemas.speech_text_features
 
         return datasets.DatasetInfo(
@@ -112,7 +112,7 @@ class SuIdTTS(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_m = os.path.join(male_filepath, "su_id_male", "line_index.tsv")
             tsv_f = os.path.join(female_filepath, "su_id_female", "line_index.tsv")
 
@@ -131,7 +131,7 @@ class SuIdTTS(datasets.GeneratorBasedBuilder):
                         }
                         yield line[0], ex
 
-                    elif self.config.schema == "nusantara_sptext":
+                    elif self.config.schema == "seacrowd_sptext":
                         ex = {
                             "id": line[0],
                             "speaker_id": spk_trans_info[0] + "_" + spk_trans_info[1],
@@ -160,7 +160,7 @@ class SuIdTTS(datasets.GeneratorBasedBuilder):
                         }
                         yield line[0], ex
 
-                    elif self.config.schema == "nusantara_sptext":
+                    elif self.config.schema == "seacrowd_sptext":
                         ex = {
                             "id": line[0],
                             "speaker_id": spk_trans_info[0] + "_" + spk_trans_info[1],