Upload indspeech_news_lvcsr.py with huggingface_hub

indspeech_news_lvcsr.py

@@ -20,9 +20,9 @@ from typing import Dict, List, Tuple
 
 import datasets
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import (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)
 
 _CITATION = """\
@@ -88,28 +88,28 @@ _URLS = {
 _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
 
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class IndSpeechNewsLVCSR(datasets.GeneratorBasedBuilder):
     """Indonesian automatic speech recognition with several local accents reading short news sentences"""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="indspeech_news_lvcsr_source",
             version=SOURCE_VERSION,
             description="indspeech_news_lvcsr source schema",
             schema="source",
             subset_id="indspeech_news_lvcsr",
         ),
-        NusantaraConfig(
-            name="indspeech_news_lvcsr_nusantara_sptext",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="indspeech_news_lvcsr_seacrowd_sptext",
+            version=SEACROWD_VERSION,
             description="indspeech_news_lvcsr Nusantara schema",
-            schema="nusantara_sptext",
+            schema="seacrowd_sptext",
             subset_id="indspeech_news_lvcsr",
         ),
     ]
@@ -129,7 +129,7 @@ class IndSpeechNewsLVCSR(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(
@@ -197,7 +197,7 @@ class IndSpeechNewsLVCSR(datasets.GeneratorBasedBuilder):
                 }
                 yield key, row
 
-            elif self.config.schema == "nusantara_sptext":
+            elif self.config.schema == "seacrowd_sptext":
                 row = {
                     "id": aud_id,
                     "path": aud_file,