Update fabner.py with new tagging formats

fabner.py

@@ -78,79 +78,60 @@ class FabNER(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'first_domain')
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="fabner", version=VERSION, description="The FabNER dataset"),
+        datasets.BuilderConfig(name="fabner", version=VERSION,
+                               description="The FabNER dataset with the original BIOES tagging format"),
+        datasets.BuilderConfig(name="fabner_bio", version=VERSION,
+                               description="The FabNER dataset with BIO tagging format"),
+        datasets.BuilderConfig(name="fabner_simple", version=VERSION,
+                               description="The FabNER dataset with no tagging format"),
     ]
+    DEFAULT_CONFIG_NAME = "fabner"
 
     def _info(self):
+        entity_types = [
+            "MATE",     # Material
+            "MANP",     # Manufacturing Process
+            "MACEQ",    # Machine/Equipment
+            "APPL",     # Application
+            "FEAT",     # Engineering Features
+            "PRO",      # Mechanical Properties
+            "CHAR",     # Process Characterization
+            "PARA",     # Process Parameters
+            "ENAT",     # Enabling Technology
+            "CONPRI",   # Concept/Principles
+            "MANS",     # Manufacturing Standards
+            "BIOP",     # BioMedical
+        ]
+        if self.config.name == "fabner":
+            class_labels = ["O"]
+            for entity_type in entity_types:
+                class_labels.extend(
+                    [
+                        "B-" + entity_type,
+                        "I-" + entity_type,
+                        "O-" + entity_type,
+                        "E-" + entity_type,
+                        "S-" + entity_type,
+                    ]
+                )
+        elif self.config.name == "fabner_bio":
+            class_labels = ["O"]
+            for entity_type in entity_types:
+                class_labels.extend(
+                    [
+                        "B-" + entity_type,
+                        "I-" + entity_type,
+                    ]
+                )
+        else:
+            class_labels = ["O"] + entity_types
         features = datasets.Features(
             {
                 "id": datasets.Value("string"),
                 "tokens": datasets.Sequence(datasets.Value("string")),
                 "ner_tags": datasets.Sequence(
                     datasets.features.ClassLabel(
-                        names=[
-                            "O",
-                            "B-MATE",   # Material
-                            "I-MATE",
-                            "O-MATE",
-                            "E-MATE",
-                            "S-MATE",
-                            "B-MANP",   # Manufacturing Process
-                            "I-MANP",
-                            "O-MANP",
-                            "E-MANP",
-                            "S-MANP",
-                            "B-MACEQ",  # Machine/Equipment
-                            "I-MACEQ",
-                            "O-MACEQ",
-                            "E-MACEQ",
-                            "S-MACEQ",
-                            "B-APPL",   # Application
-                            "I-APPL",
-                            "O-APPL",
-                            "E-APPL",
-                            "S-APPL",
-                            "B-FEAT",   # Engineering Features
-                            "I-FEAT",
-                            "O-FEAT",
-                            "E-FEAT",
-                            "S-FEAT",
-                            "B-PRO",    # Mechanical Properties
-                            "I-PRO",
-                            "O-PRO",
-                            "E-PRO",
-                            "S-PRO",
-                            "B-CHAR",   # Process Characterization
-                            "I-CHAR",
-                            "O-CHAR",
-                            "E-CHAR",
-                            "S-CHAR",
-                            "B-PARA",   # Process Parameters
-                            "I-PARA",
-                            "O-PARA",
-                            "E-PARA",
-                            "S-PARA",
-                            "B-ENAT",   # Enabling Technology
-                            "I-ENAT",
-                            "O-ENAT",
-                            "E-ENAT",
-                            "S-ENAT",
-                            "B-CONPRI",     # Concept/Principles
-                            "I-CONPRI",
-                            "O-CONPRI",
-                            "E-CONPRI",
-                            "S-CONPRI",
-                            "B-MANS",   # Manufacturing Standards
-                            "I-MANS",
-                            "O-MANS",
-                            "E-MANS",
-                            "S-MANS",
-                            "B-BIOP",   # BioMedical
-                            "I-BIOP",
-                            "O-BIOP",
-                            "E-BIOP",
-                            "S-BIOP",
-                        ]
+                        names=class_labels
                     )
                 ),
             }
@@ -203,7 +184,18 @@ class FabNER(datasets.GeneratorBasedBuilder):
                 else:
                     splits = line.split(" ")
                     tokens.append(splits[0])
-                    ner_tags.append(splits[1].rstrip())
+                    ner_tag = splits[1].rstrip()
+                    if self.config.name == "fabner_simple":
+                        if ner_tag == "O":
+                            ner_tag = "O"
+                        else:
+                            ner_tag = ner_tag.split("-")[1]
+                    elif self.config.name == "fabner_bio":
+                        if ner_tag == "O":
+                            ner_tag = "O"
+                        else:
+                            ner_tag = ner_tag.replace("S-", "B-").replace("E-", "I-")
+                    ner_tags.append(ner_tag)
             # last example
             if tokens:
                 yield guid, {