Upload indspeech_newstra_ethnicsr.py with huggingface_hub

indspeech_newstra_ethnicsr.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-cocosda-2013,
@@ -84,17 +84,17 @@ _URLS = {
 _SUPPORTED_TASKS = [Tasks.SPEECH_RECOGNITION]
 
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
-def nusantara_config_constructor(lang, schema, version, overlap):
+def seacrowd_config_constructor(lang, schema, version, overlap):
     if lang == "":
         raise ValueError(f"Invalid lang {lang}")
 
-    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_newstra_ethnicsr_{overlap}_{lang}_{schema}".format(lang=lang, schema=schema, overlap=overlap),
         version=datasets.Version(version),
         description="indspeech_newstra_ethnicsr {schema} schema for {lang} language with {overlap}ping dataset".format(lang=_lst_LANG[_lst_STD_LANG[lang]], schema=schema, overlap=overlap),
@@ -110,10 +110,10 @@ class INDspeechNEWSTRAEthnicSR(datasets.GeneratorBasedBuilder):
     The 'overlap' keyword in the dataset-name combines both sub-datasets, while 'nooverlap' will only use dataset 1
     """
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
-    BUILDER_CONFIGS = [nusantara_config_constructor(lang, "source", _SOURCE_VERSION, overlap) for lang in _lst_STD_LANG for overlap in ["overlap","nooverlap"]] +\
-                      [nusantara_config_constructor(lang, "nusantara_sptext", _NUSANTARA_VERSION, overlap) for lang in _lst_STD_LANG for overlap in ["overlap","nooverlap"]]
+    BUILDER_CONFIGS = [seacrowd_config_constructor(lang, "source", _SOURCE_VERSION, overlap) for lang in _lst_STD_LANG for overlap in ["overlap","nooverlap"]] +\
+                      [seacrowd_config_constructor(lang, "seacrowd_sptext", _SEACROWD_VERSION, overlap) for lang in _lst_STD_LANG for overlap in ["overlap","nooverlap"]]
 
     DEFAULT_CONFIG_NAME = "indspeech_newstra_ethnicsr_jav_source"
 
@@ -129,7 +129,7 @@ class INDspeechNEWSTRAEthnicSR(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(
@@ -204,7 +204,7 @@ class INDspeechNEWSTRAEthnicSR(datasets.GeneratorBasedBuilder):
                 }
                 yield id, ex
 
-            elif self.config.schema == "nusantara_sptext":
+            elif self.config.schema == "seacrowd_sptext":
                 ex = {
                     "id": str(id),
                     "speaker_id": str(Path(row).parent).split("/")[1],