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id_sts.py

@@ -4,9 +4,9 @@ from typing import Dict, List, Tuple
 import datasets
 import pandas as pd
 
-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 = """
 """
@@ -38,7 +38,7 @@ _SUPPORTED_TASKS = [Tasks.SEMANTIC_SIMILARITY]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class IdSts(datasets.GeneratorBasedBuilder):
@@ -46,21 +46,21 @@ class IdSts(datasets.GeneratorBasedBuilder):
     from 2012-2016 for Semantic Textual Similarity Task to Indonesian language"""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="id_sts_source",
             version=SOURCE_VERSION,
             description="ID_STS source schema",
             schema="source",
             subset_id="id_sts",
         ),
-        NusantaraConfig(
-            name="id_sts_nusantara_pairs_score",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="id_sts_seacrowd_pairs_score",
+            version=SEACROWD_VERSION,
             description="ID_STS Nusantara schema",
-            schema="nusantara_pairs_score",
+            schema="seacrowd_pairs_score",
             subset_id="id_sts",
         ),
     ]
@@ -77,7 +77,7 @@ class IdSts(datasets.GeneratorBasedBuilder):
                     "label": datasets.Value("float64"),
                 }
             )
-        elif self.config.schema == "nusantara_pairs_score":
+        elif self.config.schema == "seacrowd_pairs_score":
             features = schemas.pairs_features_score()
 
         return datasets.DatasetInfo(
@@ -115,7 +115,7 @@ class IdSts(datasets.GeneratorBasedBuilder):
                 ex = {"text_1": row.text_1, "text_2": row.text_2, "label": row.score}
                 yield row.id, ex
 
-        elif self.config.schema == "nusantara_pairs_score":
+        elif self.config.schema == "seacrowd_pairs_score":
             for row in df.itertuples():
                 ex = {"id": str(row.id), "text_1": row.text_1, "text_2": row.text_2, "label": row.score}
                 yield row.id, ex