Upload kamus_alay.py with huggingface_hub

kamus_alay.py

@@ -3,9 +3,9 @@ from typing import Dict, List, Tuple
 
 import datasets
 
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import Tasks
-from nusacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Tasks
+from seacrowd.utils import schemas
 
 import pandas as pd
 
@@ -45,14 +45,14 @@ _SUPPORTED_TASKS = [Tasks.MORPHOLOGICAL_INFLECTION]
 
 # Dataset does not have versioning
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class KamusAlay(datasets.GeneratorBasedBuilder):
     """Kamus Alay is a dataset of lexicon for text normalization of Indonesian colloquial word"""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     label_classes = [
         "abreviasi",
@@ -75,18 +75,18 @@ class KamusAlay(datasets.GeneratorBasedBuilder):
     ]
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="kamus_alay_source",
             version=SOURCE_VERSION,
             description="Kamus Alay source schema",
             schema="source",
             subset_id="kamus_alay",
         ),
-        NusantaraConfig(
-            name="kamus_alay_nusantara_pairs_multi",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="kamus_alay_seacrowd_pairs_multi",
+            version=SEACROWD_VERSION,
             description="Kamus Alay Nusantara schema",
-            schema="nusantara_pairs_multi",
+            schema="seacrowd_pairs_multi",
             subset_id="kamus_alay",
         ),
     ]
@@ -104,7 +104,7 @@ class KamusAlay(datasets.GeneratorBasedBuilder):
                     "categories": datasets.Sequence(datasets.Value("string")),
                 }
             )
-        elif self.config.schema == "nusantara_pairs_multi":
+        elif self.config.schema == "seacrowd_pairs_multi":
             features = schemas.pairs_multi_features(self.label_classes)
 
         return datasets.DatasetInfo(
@@ -147,7 +147,7 @@ class KamusAlay(datasets.GeneratorBasedBuilder):
                 }
                 yield row.id, ex
 
-        elif self.config.schema == "nusantara_pairs_multi":
+        elif self.config.schema == "seacrowd_pairs_multi":
             for row in df.itertuples():
                 ex = {
                     "id": str(row.id),