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wrete.py

@@ -7,13 +7,13 @@ from unicodedata import category
 import datasets
 import pandas as pd
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import Tasks, DEFAULT_SOURCE_VIEW_NAME, DEFAULT_NUSANTARA_VIEW_NAME
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Tasks, DEFAULT_SOURCE_VIEW_NAME, DEFAULT_SEACROWD_VIEW_NAME
 
 _DATASETNAME = "wrete"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _LANGUAGES = ["ind"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
 _LOCAL = False
@@ -54,25 +54,25 @@ _URLs = {
 _SUPPORTED_TASKS = [Tasks.TEXTUAL_ENTAILMENT]
 
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class WReTe(datasets.GeneratorBasedBuilder):
     """WReTe consists of premise, hypothesis, category, and label. The Data are labeled as entailed when the meaning of the second sentence can be derived from the first one, and not entailed otherwise"""
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="wrete_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="WReTe source schema",
             schema="source",
             subset_id="wrete",
         ),
-        NusantaraConfig(
-            name="wrete_nusantara_pairs",
-            version=datasets.Version(_NUSANTARA_VERSION),
+        SEACrowdConfig(
+            name="wrete_seacrowd_pairs",
+            version=datasets.Version(_SEACROWD_VERSION),
             description="WReTe Nusantara schema",
-            schema="nusantara_pairs",
+            schema="seacrowd_pairs",
             subset_id="wrete",
         ),
     ]
@@ -87,7 +87,7 @@ class WReTe(datasets.GeneratorBasedBuilder):
                                         "sent_B": datasets.Value("string"),
                                         "category" : datasets.Value("string"),
                                         "label": datasets.Value("string")})
-        elif self.config.schema == "nusantara_pairs":
+        elif self.config.schema == "seacrowd_pairs":
             features = schemas.pairs_features(self.labels)
 
         return datasets.DatasetInfo(
@@ -135,7 +135,7 @@ class WReTe(datasets.GeneratorBasedBuilder):
                      "label" : row.label
                 }
                 yield row.index, ex
-        elif self.config.schema == "nusantara_pairs":
+        elif self.config.schema == "seacrowd_pairs":
             for row in df.itertuples():
                 ex = {
                     "id": row.index,