Upload singgalang.py with huggingface_hub

singgalang.py

@@ -18,10 +18,10 @@ from typing import Dict, List, Tuple
 
 import datasets
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.common_parser import load_conll_data
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import Tasks
+from seacrowd.utils import schemas
+from seacrowd.utils.common_parser import load_conll_data
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Tasks
 
 _CITATION = """\
 @INPROCEEDINGS{8355036,
@@ -67,14 +67,14 @@ _SUPPORTED_TASKS = [Tasks.NAMED_ENTITY_RECOGNITION]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class SinggalangDataset(datasets.GeneratorBasedBuilder):
     """Rule-based annotation Indonesian NER Dataset of 48,957 sentences with 3 NER tags"""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     label_classes = [
         "O",
@@ -84,18 +84,18 @@ class SinggalangDataset(datasets.GeneratorBasedBuilder):
     ]
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name=f"{_DATASETNAME}_source",
             version=SOURCE_VERSION,
             description=f"{_DATASETNAME} source schema",
             schema="source",
             subset_id=f"{_DATASETNAME}",
         ),
-        NusantaraConfig(
-            name=f"{_DATASETNAME}_nusantara_seq_label",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name=f"{_DATASETNAME}_seacrowd_seq_label",
+            version=SEACROWD_VERSION,
             description=f"{_DATASETNAME} Nusantara schema",
-            schema="nusantara_seq_label",
+            schema="seacrowd_seq_label",
             subset_id=f"{_DATASETNAME}",
         ),
     ]
@@ -112,7 +112,7 @@ class SinggalangDataset(datasets.GeneratorBasedBuilder):
                 }
             )
 
-        elif self.config.schema == "nusantara_seq_label":
+        elif self.config.schema == "seacrowd_seq_label":
             features = schemas.seq_label_features(self.label_classes)
 
         return datasets.DatasetInfo(
@@ -146,7 +146,7 @@ class SinggalangDataset(datasets.GeneratorBasedBuilder):
             for key, ex in enumerate(dataset):
                 yield key, ex
 
-        elif self.config.schema == "nusantara_seq_label":
+        elif self.config.schema == "seacrowd_seq_label":
             for key, ex in enumerate(dataset):
                 yield key, {
                     "id": str(key),