Upload indo4b.py with huggingface_hub

indo4b.py

@@ -18,15 +18,15 @@ 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)
 import glob
 
 _DATASETNAME = "indo4b"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _LOCAL = False
 _LANGUAGES = ["ind"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
@@ -96,7 +96,7 @@ _SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 class Indo4B(datasets.GeneratorBasedBuilder):
     """Indo4B is a large-scale Indonesian self-supervised pre-training corpus
@@ -106,18 +106,18 @@ class Indo4B(datasets.GeneratorBasedBuilder):
 
     
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="indo4b_source",
             version=_SOURCE_VERSION,
             description="Indo4B source schema",
             schema="source",
             subset_id="indo4b",
         ),
-        NusantaraConfig(
-            name="indo4b_nusantara_ssp",
-            version=_NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="indo4b_seacrowd_ssp",
+            version=_SEACROWD_VERSION,
             description="Indo4B Nusantara schema",
-            schema="nusantara_ssp",
+            schema="seacrowd_ssp",
             subset_id="indo4b",
         ),
     ]
@@ -130,7 +130,7 @@ class Indo4B(datasets.GeneratorBasedBuilder):
                     "text": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_ssp":
+        elif self.config.schema == "seacrowd_ssp":
             features = schemas.self_supervised_pretraining.features
 
         return datasets.DatasetInfo(
@@ -174,7 +174,7 @@ class Indo4B(datasets.GeneratorBasedBuilder):
                                 },
                             )
                             counter += 1
-                elif self.config.schema == "nusantara_ssp":
+                elif self.config.schema == "seacrowd_ssp":
                     for row in f:
                         if row.strip() != "":
                             yield (