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hoasa.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{azhar2019multi,
@@ -46,28 +46,28 @@ _SUPPORTED_TASKS = [Tasks.ASPECT_BASED_SENTIMENT_ANALYSIS]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class HoASA(datasets.GeneratorBasedBuilder):
     """HoASA 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="hoasa_source",
             version=SOURCE_VERSION,
             description="HoASA source schema",
             schema="source",
             subset_id="hoasa",
         ),
-        NusantaraConfig(
-            name="hoasa_nusantara_text_multi",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="hoasa_seacrowd_text_multi",
+            version=SEACROWD_VERSION,
             description="HoASA Nusantara schema",
-            schema="nusantara_text_multi",
+            schema="seacrowd_text_multi",
             subset_id="hoasa",
         ),
     ]
@@ -93,7 +93,7 @@ class HoASA(datasets.GeneratorBasedBuilder):
                 }
             )
 
-        elif self.config.schema == "nusantara_text_multi":
+        elif self.config.schema == "seacrowd_text_multi":
             features = schemas.text_multi_features(["pos", "neut", "neg", "neg_pos"])
 
         return datasets.DatasetInfo(
@@ -160,7 +160,7 @@ class HoASA(datasets.GeneratorBasedBuilder):
                 }
                 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),