Update ner.py

ner.py

@@ -3,9 +3,9 @@ import datasets
 logger = datasets.logging.get_logger(__name__)
 
 _URL = "https://raw.githubusercontent.com/Kriyansparsana/demorepo/main/"
-_TRAINING_FILE = "indian_dataset.conll"
+_TRAINING_FILE = "Indian_dataset_wnut_train.conll"
 # _DEV_FILE = "indian_dataset.conll"
-# _TEST_FILE = "indian_dataset_test.conll"
+_TEST_FILE = "emerging.test.annotated"
 
 class indian_namesConfig(datasets.BuilderConfig):
     """The WNUT 17 Emerging Entities Dataset."""
@@ -38,8 +38,17 @@ class indian_names(datasets.GeneratorBasedBuilder):
                                 "O",
                                 "B-corporation",
                                 "I-corporation",
+                                "B-creative-work",
+                                "I-creative-work",
+                                "B-group",
+                                "I-group",
+                                "B-location",
+                                "I-location",
                                 "B-person",
-                                "I-person",                            ]
+                                "I-person",
+                                "B-product",
+                                "I-product",          
+                            ]
                         )
                     ),
                 }
@@ -52,14 +61,14 @@ class indian_names(datasets.GeneratorBasedBuilder):
         urls_to_download = {
             "train": f"{_URL}{_TRAINING_FILE}",
             # "dev": f"{_URL}{_DEV_FILE}",
-            # "test": f"{_URL}{_TEST_FILE}",
+            "test": f"{_URL}{_TEST_FILE}",
         }
         downloaded_files = dl_manager.download_and_extract(urls_to_download)
 
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
             # datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
-            # datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
         ]
             
     def _generate_examples(self, filepath):