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inset_lexicon.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{inproceedings,
@@ -36,28 +36,28 @@ _URLS = {_DATASETNAME: "https://github.com/fajri91/InSet/archive/refs/heads/mast
 
 _SUPPORTED_TASKS = [Tasks.SENTIMENT_ANALYSIS]
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class InsetLexicon(datasets.GeneratorBasedBuilder):
     """InSet, an Indonesian sentiment lexicon built to identify written opinion and categorize it into positive or negative opinion"""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="inset_lexicon_source",
             version=SOURCE_VERSION,
             description="Inset Lexicon source schema",
             schema="source",
             subset_id="inset_lexicon",
         ),
-        NusantaraConfig(
-            name="inset_lexicon_nusantara_text",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="inset_lexicon_seacrowd_text",
+            version=SEACROWD_VERSION,
             description="Inset Lexicon Nusantara schema",
-            schema="nusantara_text",
+            schema="seacrowd_text",
             subset_id="inset_lexicon",
         ),
     ]
@@ -67,7 +67,7 @@ class InsetLexicon(datasets.GeneratorBasedBuilder):
     def _info(self) -> datasets.DatasetInfo:
         if self.config.schema == "source":
             features = datasets.Features({"word": datasets.Value("string"), "weight": datasets.Value("string")})
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             labels = list(range(-5, 6, 1))
             labels = [str(label) for label in labels]
             features = schemas.text_features(labels)
@@ -117,7 +117,7 @@ class InsetLexicon(datasets.GeneratorBasedBuilder):
                 }
                 yield row.id, ex
 
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             for row in df.itertuples():
                 ex = {
                     "id": str(row.id),