Upload sentiment_nathasa_review.py with huggingface_hub

sentiment_nathasa_review.py

@@ -4,9 +4,9 @@ from typing import Dict, List, Tuple
 
 import datasets
 
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import Tasks
-from nusacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Tasks
+from seacrowd.utils import schemas
 import csv
 
 _CITATION = """\
@@ -42,27 +42,27 @@ _SUPPORTED_TASKS = [Tasks.SENTIMENT_ANALYSIS]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 class SentimentNathasaReview(datasets.GeneratorBasedBuilder):
     """Customer Review (Natasha Skincare) is a customers emotion dataset, with amounted to 19,253 samples with the division for each class is 804 joy, 43 surprise, 154 anger, 61 fear, 287 sad, 167 disgust, and 17736 no-emotions."""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="sentiment_nathasa_review_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="sentiment_nathasa_review source schema",
             schema="source",
             subset_id="sentiment_nathasa_review",
         ),
-        NusantaraConfig(
-            name="sentiment_nathasa_review_nusantara_text",
-            version=datasets.Version(_NUSANTARA_VERSION),
+        SEACrowdConfig(
+            name="sentiment_nathasa_review_seacrowd_text",
+            version=datasets.Version(_SEACROWD_VERSION),
             description="sentiment_nathasa_review Nusantara schema",
-            schema="nusantara_text",
+            schema="seacrowd_text",
             subset_id="sentiment_nathasa_review",
         ),
     ]
@@ -79,7 +79,7 @@ class SentimentNathasaReview(datasets.GeneratorBasedBuilder):
                     "label": datasets.Value("string"),
                }
             )
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             features = schemas.text_features(['NOEMOTION', 'SURPRISE', 'SAD', 'JOY', 'FEAR', 'DISGUST', 'ANGER'])
 
         return datasets.DatasetInfo(
@@ -137,7 +137,7 @@ class SentimentNathasaReview(datasets.GeneratorBasedBuilder):
                         }
                         yield row_data[0], ex
 
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             with open(filepath, "r") as F:
                 csvreader = csv.reader(F)
                 for row in csvreader: