Upload indspeech_digit_cdsr.py with huggingface_hub

indspeech_digit_cdsr.py

@@ -21,9 +21,9 @@ 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-icslp-2004,
@@ -64,28 +64,28 @@ _URLS = {
 
 _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class INDspeechDIGITCDSR(datasets.GeneratorBasedBuilder):
     """Indonesian speech dataset for connected digit speech recognition"""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="indspeech_digit_cdsr_source",
             version=SOURCE_VERSION,
             description="indspeech_digit_cdsr source schema",
             schema="source",
             subset_id="indspeech_digit_cdsr",
         ),
-        NusantaraConfig(
-            name="indspeech_digit_cdsr_nusantara_sptext",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="indspeech_digit_cdsr_seacrowd_sptext",
+            version=SEACROWD_VERSION,
             description="indspeech_digit_cdsr Nusantara schema",
-            schema="nusantara_sptext",
+            schema="seacrowd_sptext",
             subset_id="indspeech_digit_cdsr",
         ),
     ]
@@ -105,7 +105,7 @@ class INDspeechDIGITCDSR(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(
@@ -216,7 +216,7 @@ class INDspeechDIGITCDSR(datasets.GeneratorBasedBuilder):
                         "text": self.text_process(filepath["text"][example]),
                     }
 
-                elif self.config.schema == "nusantara_sptext":
+                elif self.config.schema == "seacrowd_sptext":
                     yield key, {
                         "id": example,
                         "speaker_id": spk_id,