Upload indonlu_nergrit.py with huggingface_hub

indonlu_nergrit.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 = """\
 @inproceedings{wilie2020indonlu,
@@ -58,7 +58,7 @@ _URLs = {
 }
 _SUPPORTED_TASKS = [Tasks.NAMED_ENTITY_RECOGNITION]
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class IndonluNergritDataset(datasets.GeneratorBasedBuilder):
@@ -67,18 +67,18 @@ class IndonluNergritDataset(datasets.GeneratorBasedBuilder):
     label_classes = ["I-PERSON", "B-ORGANISATION", "I-ORGANISATION", "B-PLACE", "I-PLACE", "O", "B-PERSON"]
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="indonlu_nergrit_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="IndoNLU NERGrit source schema",
             schema="source",
             subset_id="indonlu_nergrit",
         ),
-        NusantaraConfig(
-            name="indonlu_nergrit_nusantara_seq_label",
-            version=datasets.Version(_NUSANTARA_VERSION),
+        SEACrowdConfig(
+            name="indonlu_nergrit_seacrowd_seq_label",
+            version=datasets.Version(_SEACROWD_VERSION),
             description="IndoNLU NERGrit Nusantara schema",
-            schema="nusantara_seq_label",
+            schema="seacrowd_seq_label",
             subset_id="indonlu_nergrit",
         ),
     ]
@@ -89,7 +89,7 @@ class IndonluNergritDataset(datasets.GeneratorBasedBuilder):
         features = None
         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(
@@ -132,7 +132,7 @@ class IndonluNergritDataset(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