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nerp.py

@@ -3,15 +3,15 @@ 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 (DEFAULT_NUSANTARA_VIEW_NAME,
+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 (DEFAULT_SEACROWD_VIEW_NAME,
                                        DEFAULT_SOURCE_VIEW_NAME, Tasks)
 
 _DATASETNAME = "nerp"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _LANGUAGES = ["ind"]
 _LOCAL = False
@@ -49,7 +49,7 @@ _URLs = {
 _SUPPORTED_TASKS = [Tasks.NAMED_ENTITY_RECOGNITION]
 
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class NerpDataset(datasets.GeneratorBasedBuilder):
@@ -58,18 +58,18 @@ class NerpDataset(datasets.GeneratorBasedBuilder):
     label_classes = ["B-PPL", "B-PLC", "B-EVT", "B-IND", "B-FNB", "I-PPL", "I-PLC", "I-EVT", "I-IND", "I-FNB", "O"]
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="nerp_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="NERP source schema",
             schema="source",
             subset_id="nerp",
         ),
-        NusantaraConfig(
-            name="nerp_nusantara_seq_label",
-            version=datasets.Version(_NUSANTARA_VERSION),
+        SEACrowdConfig(
+            name="nerp_seacrowd_seq_label",
+            version=datasets.Version(_SEACROWD_VERSION),
             description="NERP Nusantara schema",
-            schema="nusantara_seq_label",
+            schema="seacrowd_seq_label",
             subset_id="nerp",
         ),
     ]
@@ -79,7 +79,7 @@ class NerpDataset(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(
@@ -122,7 +122,7 @@ class NerpDataset(datasets.GeneratorBasedBuilder):
             for i, row in enumerate(conll_dataset):
                 ex = {"index": str(i), "tokens": row["sentence"], "ner_tag": row["label"]}
                 yield i, ex
-        elif self.config.schema == "nusantara_seq_label":
+        elif self.config.schema == "seacrowd_seq_label":
             for i, row in enumerate(conll_dataset):
                 ex = {"id": str(i), "tokens": row["sentence"], "labels": row["label"]}
                 yield i, ex