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indqner.py

@@ -19,10 +19,10 @@ from typing import List
 
 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 = """\
 @misc{,
@@ -66,7 +66,7 @@ _URLs = {
 }
 _SUPPORTED_TASKS = [Tasks.NAMED_ENTITY_RECOGNITION]
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class IndqnerDataset(datasets.GeneratorBasedBuilder):
@@ -109,18 +109,18 @@ class IndqnerDataset(datasets.GeneratorBasedBuilder):
     ]
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="indqner_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="NER dataset from Indonesian translation Quran source schema",
             schema="source",
             subset_id="indqner",
         ),
-        NusantaraConfig(
-            name="indqner_nusantara_seq_label",
+        SEACrowdConfig(
+            name="indqner_seacrowd_seq_label",
             version=datasets.Version(_SOURCE_VERSION),
             description="NER dataset from Indonesian translation Quran Nusantara schema",
-            schema="nusantara_seq_label",
+            schema="seacrowd_seq_label",
             subset_id="indqner",
         ),
     ]
@@ -130,7 +130,7 @@ class IndqnerDataset(datasets.GeneratorBasedBuilder):
     def _info(self):
         if self.config.schema == "source":
             features = datasets.Features({"index": datasets.Value("string"), "tokens": [datasets.Value("string")], "ner_tag": [datasets.Value("string")]})
-        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(
@@ -173,7 +173,7 @@ class IndqnerDataset(datasets.GeneratorBasedBuilder):
             for index, row in enumerate(conll_dataset):
                 ex = {"index": str(index), "tokens": row["sentence"], "ner_tag": row["label"]}
                 yield index, ex
-        elif self.config.schema == "nusantara_seq_label":
+        elif self.config.schema == "seacrowd_seq_label":
             for index, row in enumerate(conll_dataset):
                 ex = {"id": str(index), "tokens": row["sentence"], "labels": row["label"]}
                 yield index, ex