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kawat.py

@@ -1,13 +1,13 @@
 import os
 from pathlib import Path
 from typing import Dict, List, Tuple
-from nusacrowd.utils.constants import Tasks
-from nusacrowd.utils import schemas
+from seacrowd.utils.constants import Tasks
+from seacrowd.utils import schemas
 
 import datasets
 import json
 
-from nusacrowd.utils.configs import NusantaraConfig
+from seacrowd.utils.configs import SEACrowdConfig
 
 _CITATION = """\
 @article{kurniawan2019,
@@ -44,7 +44,7 @@ _SUPPORTED_TASKS = [Tasks.WORD_ANALOGY]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 _PATH_FILE = [
     {
@@ -72,21 +72,21 @@ _PATH_FILE = [
 class Kawat(datasets.GeneratorBasedBuilder):
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="kawat_source",
             version=SOURCE_VERSION,
             description="Kawat source schema",
             schema="source",
             subset_id="kawat",
         ),
-        NusantaraConfig(
-            name="kawat_nusantara_t2t",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="kawat_seacrowd_t2t",
+            version=SEACROWD_VERSION,
             description="Kawat Nusantara schema",
-            schema="nusantara_t2t",
+            schema="seacrowd_t2t",
             subset_id="kawat",
         ),
     ]
@@ -106,7 +106,7 @@ class Kawat(datasets.GeneratorBasedBuilder):
                 }
             )
 
-        elif self.config.schema == "nusantara_t2t":
+        elif self.config.schema == "seacrowd_t2t":
             features = schemas.text2text_features
 
         return datasets.DatasetInfo(
@@ -179,7 +179,7 @@ class Kawat(datasets.GeneratorBasedBuilder):
                 yield key, example
                 key+=1
 
-        elif self.config.schema == "nusantara_t2t":
+        elif self.config.schema == "seacrowd_t2t":
             key = 0
             for each_data in data:
                 example = {