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indolem_ntp.py

@@ -3,10 +3,10 @@ from typing import Dict, List, Tuple
 
 import json
 import datasets
-from nusacrowd.utils import schemas
+from seacrowd.utils import schemas
 
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import Tasks
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Tasks
 
 _CITATION = """\
 @article{DBLP:journals/corr/abs-2011-00677,
@@ -57,28 +57,28 @@ _URLS = {
 _SUPPORTED_TASKS = [Tasks.NEXT_SENTENCE_PREDICTION]
 
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class IndolemNTPDataset(datasets.GeneratorBasedBuilder):
     """NTP (Next Tweet prediction) is based on next sentence prediction (NSP), consists of a Twitter thread (containing  2 to 4 tweets) and four possible options for the next tweet, one of which is the actual response from the original thread."""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="indolem_ntp_source",
             version=SOURCE_VERSION,
             description="Indolem NTP source schema",
             schema="source",
             subset_id="indolem_ntp",
         ),
-        NusantaraConfig(
-            name="indolem_ntp_nusantara_pairs",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="indolem_ntp_seacrowd_pairs",
+            version=SEACROWD_VERSION,
             description="Indolem NTP Nusantara schema",
-            schema="nusantara_pairs",
+            schema="seacrowd_pairs",
             subset_id="indolem_ntp",
         ),
     ]
@@ -95,7 +95,7 @@ class IndolemNTPDataset(datasets.GeneratorBasedBuilder):
                     "label": datasets.Value("int8"),
                 }
             )
-        elif self.config.schema == "nusantara_pairs":
+        elif self.config.schema == "seacrowd_pairs":
             features = schemas.pairs_features([0, 1])
 
         return datasets.DatasetInfo(
@@ -146,7 +146,7 @@ class IndolemNTPDataset(datasets.GeneratorBasedBuilder):
                 }
                 yield i, ex
 
-        elif self.config.schema == "nusantara_pairs":
+        elif self.config.schema == "seacrowd_pairs":
             for i, row in enumerate(data):
                 ex = {
                     "id": str(i),