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casa.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 = """
 @INPROCEEDINGS{8629181,
@@ -47,28 +47,28 @@ _SUPPORTED_TASKS = [Tasks.ASPECT_BASED_SENTIMENT_ANALYSIS]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class CASA(datasets.GeneratorBasedBuilder):
     """CASA is an aspect based sentiment analysis dataset"""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="casa_source",
             version=SOURCE_VERSION,
             description="CASA source schema",
             schema="source",
             subset_id="casa",
         ),
-        NusantaraConfig(
-            name="casa_nusantara_text_multi",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="casa_seacrowd_text_multi",
+            version=SEACROWD_VERSION,
             description="CASA Nusantara schema",
-            schema="nusantara_text_multi",
+            schema="seacrowd_text_multi",
             subset_id="casa",
         ),
     ]
@@ -90,7 +90,7 @@ class CASA(datasets.GeneratorBasedBuilder):
                 }
             )
 
-        elif self.config.schema == "nusantara_text_multi":
+        elif self.config.schema == "seacrowd_text_multi":
             features = schemas.text_multi_features(["positive", "neutral", "negative"])
 
         return datasets.DatasetInfo(
@@ -144,7 +144,7 @@ class CASA(datasets.GeneratorBasedBuilder):
                 entry = {"index": row.index, "sentence": row.sentence, "fuel": row.fuel, "machine": row.machine, "others": row.others, "part": row.part, "price": row.price, "service": row.service}
                 yield row.index, entry
 
-        elif self.config.schema == "nusantara_text_multi":
+        elif self.config.schema == "seacrowd_text_multi":
             for row in df.itertuples():
                 entry = {
                     "id": str(row.index),