Upload indspeech_news_tts.py with huggingface_hub

indspeech_news_tts.py

@@ -19,9 +19,9 @@ from typing import Dict, List, Tuple
 
 import datasets
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import Tasks
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Tasks
 
 _CITATION = """\
 @inproceedings{sakti-tts-cocosda-2008,
@@ -80,16 +80,16 @@ _SUPPORTED_TASKS = [Tasks.TEXT_TO_SPEECH]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 _LOCAL = False
 
 
-def nusantara_config_constructor(schema, version, train_task, test_task):
+def seacrowd_config_constructor(schema, version, train_task, test_task):
 
-    if schema != "source" and schema != "nusantara_sptext":
+    if schema != "source" and schema != "seacrowd_sptext":
         raise ValueError(f"Invalid schema: {schema}")
 
-    return NusantaraConfig(
+    return SEACrowdConfig(
         name="indspeech_news_tts_{tr_task}_{ts_task}_{schema}".format(schema=schema, tr_task=train_task, ts_task=test_task),
         version=datasets.Version(version),
         description="indspeech_news_tts {schema} schema for {tr_task} train and {ts_task} test task".format(schema=schema, tr_task=train_task, ts_task=test_task),
@@ -106,13 +106,13 @@ class INDspeechNEWSTTS(datasets.GeneratorBasedBuilder):
     """
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = (
-        [nusantara_config_constructor("source", _SOURCE_VERSION, train, test) for train in ["12", "30", "60", "120"] for test in ["MOS"]]
-        + [nusantara_config_constructor("nusantara_sptext", _NUSANTARA_VERSION, train, test) for train in ["12", "30", "60", "120"] for test in ["MOS"]]
-        + [nusantara_config_constructor("source", _SOURCE_VERSION, "ZR", "ZR")]
-        + [nusantara_config_constructor("nusantara_sptext", _NUSANTARA_VERSION, "ZR", "ZR")]
+        [seacrowd_config_constructor("source", _SOURCE_VERSION, train, test) for train in ["12", "30", "60", "120"] for test in ["MOS"]]
+        + [seacrowd_config_constructor("seacrowd_sptext", _SEACROWD_VERSION, train, test) for train in ["12", "30", "60", "120"] for test in ["MOS"]]
+        + [seacrowd_config_constructor("source", _SOURCE_VERSION, "ZR", "ZR")]
+        + [seacrowd_config_constructor("seacrowd_sptext", _SEACROWD_VERSION, "ZR", "ZR")]
     )
 
     DEFAULT_CONFIG_NAME = "indspeech_news_tts_120_MOS_source"
@@ -129,7 +129,7 @@ class INDspeechNEWSTTS(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(
@@ -194,7 +194,7 @@ class INDspeechNEWSTTS(datasets.GeneratorBasedBuilder):
                     "gender": gender,
                 }
                 yield key, example
-            elif self.config.schema == "nusantara_sptext":
+            elif self.config.schema == "seacrowd_sptext":
                 example = {
                     "id": str(id),
                     "speaker_id": spk_id,