Update ubb-endava-assistant-ner-only-misc.py

ubb-endava-assistant-ner-only-misc.py

@@ -34,22 +34,22 @@ _DEV_FILE = "validation.txt"
 _TEST_FILE = "test.txt"
 
 
-class UBBEndavaNERConfig(datasets.BuilderConfig):
-    """BuilderConfig for UBBEndavaNER"""
+class UBBDemoConfig(datasets.BuilderConfig):
+    """BuilderConfig for UBBDemo"""
 
     def __init__(self, **kwargs):
-        """BuilderConfig for UBBEndavaNER.
+        """BuilderConfig for UBBDemo.
         Args:
           **kwargs: keyword arguments forwarded to super.
         """
-        super(UBBEndavaNERConfig, self).__init__(**kwargs)
+        super(UBBDemoConfig, self).__init__(**kwargs)
 
 
-class UBBEndavaNER(datasets.GeneratorBasedBuilder):
-    """UBBEndavaNER dataset."""
+class UBBDemo(datasets.GeneratorBasedBuilder):
+    """UBBDemo dataset."""
 
     BUILDER_CONFIGS = [
-        UBBEndavaNERConfig(name="UBBEndavaNER", version=datasets.Version("1.0.0"), description="UBBEndavaNER dataset"),
+        UBBDemoConfig(name="UBBDemo", version=datasets.Version("1.0.0"), description="UBBDemo dataset"),
     ]
 
     def _info(self):
@@ -84,21 +84,23 @@ class UBBEndavaNER(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-#        downloaded_file = dl_manager.download_and_extract(_URL)
-        path = "ubb-endava-assistant-ner-only-misc/"
+        
+        path = "./"
         data_files = {
             "train": os.path.join(path, _TRAINING_FILE),
             "validation": os.path.join(path, _DEV_FILE),
             "test": os.path.join(path, _TEST_FILE),
         }
 
+        downloaded_file = dl_manager.download_and_extract(data_files)
         return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_files["train"]}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_files["validation"]}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_files["test"]}),
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file ["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_file ["validation"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_file ["test"]}),
         ]
 
     def _generate_examples(self, filepath):
+        print("I am here" + filepath)
         logger.info("⏳ Generating examples from = %s", filepath)
         with open(filepath, encoding="utf-8") as f:
             guid = 0
@@ -116,7 +118,7 @@ class UBBEndavaNER(datasets.GeneratorBasedBuilder):
                         tokens = []
                         ner_tags = []
                 else:
-                    # UBBEndavaNER tokens are space separated
+                    # UBBDemo tokens are space separated
                     splits = line.split(" ")
                     tokens.append(splits[0])
                     ner_tags.append(splits[3].rstrip())