Upload karonese_sentiment.py with huggingface_hub

karonese_sentiment.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 = """\
 @article{karo2022sentiment,
@@ -46,7 +46,7 @@ _SUPPORTED_TASKS = [Tasks.SENTIMENT_ANALYSIS]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class KaroneseSentimentDataset(datasets.GeneratorBasedBuilder):
@@ -55,21 +55,21 @@ class KaroneseSentimentDataset(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="karonese_sentiment_source",
             version=SOURCE_VERSION,
             description="Karonese Sentiment source schema",
             schema="source",
             subset_id="karonese_sentiment",
         ),
-        NusantaraConfig(
-            name="karonese_sentiment_nusantara_text",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="karonese_sentiment_seacrowd_text",
+            version=SEACROWD_VERSION,
             description="Karonese Sentiment Nusantara schema",
-            schema="nusantara_text",
+            schema="seacrowd_text",
             subset_id="karonese_sentiment",
         ),
     ]
@@ -85,7 +85,7 @@ class KaroneseSentimentDataset(datasets.GeneratorBasedBuilder):
                     "label": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             features = schemas.text_features(["negative", "neutral", "positive"])
 
         return datasets.DatasetInfo(
@@ -123,7 +123,7 @@ class KaroneseSentimentDataset(datasets.GeneratorBasedBuilder):
                     "label": row.label,
                 }
                 yield idx, example
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             for idx, row in df.iterrows():
                 example = {
                     "id": str(idx+1),