Update fabner.py

fabner.py

@@ -61,6 +61,26 @@ _URLS = {
     "test": "https://figshare.com/ndownloader/files/28405851/S1-test.txt",
 }
 
+
+def map_fabner_labels(string_tag):
+    tag = string_tag[2:]
+    # MATERIAL (FABNER)
+    if tag == "MATE":
+        return "Material"
+    # MANUFACTURING PROCESS (FABNER)
+    elif tag == "MANP":
+        return "Method"
+    # MACHINE/EQUIPMENT, MECHANICAL PROPERTIES, CHARACTERIZATION, ENABLING TECHNOLOGY (FABNER)
+    elif tag in ["MACEQ", "PRO", "CHAR", "ENAT"]:
+        return "Technological System"
+    # APPLICATION (FABNER)
+    elif tag == "APPL":
+        return "Technical Field"
+    # FEATURES, PARAMETERS, CONCEPT/PRINCIPLES, MANUFACTURING STANDARDS, BIOMEDICAL, O (FABNER)
+    else:
+        return "O"
+
+
 class FabNER(datasets.GeneratorBasedBuilder):
     """FabNER is a manufacturing text corpus of 350,000+ words for Named Entity Recognition."""
 
@@ -84,6 +104,8 @@ class FabNER(datasets.GeneratorBasedBuilder):
                                description="The FabNER dataset with BIO tagging format"),
         datasets.BuilderConfig(name="fabner_simple", version=VERSION,
                                description="The FabNER dataset with no tagging format"),
+        datasets.BuilderConfig(name="text2tech", version=VERSION,
+                               description="The FabNER dataset mapped to the Text2Tech tag set"),
     ]
     DEFAULT_CONFIG_NAME = "fabner"
 
@@ -102,7 +124,9 @@ class FabNER(datasets.GeneratorBasedBuilder):
             "MANS",     # Manufacturing Standards
             "BIOP",     # BioMedical
         ]
-        if self.config.name == "fabner":
+        if self.config.name == "text2tech":
+            class_labels = ["O", "Technological System", "Method",  "Material", "Technical Field"]
+        elif self.config.name == "fabner":
             class_labels = ["O"]
             for entity_type in entity_types:
                 class_labels.extend(
@@ -195,6 +219,8 @@ class FabNER(datasets.GeneratorBasedBuilder):
                             ner_tag = "O"
                         else:
                             ner_tag = ner_tag.replace("S-", "B-").replace("E-", "I-")
+                    elif self.config.name == "text2tech":
+                        ner_tag = map_fabner_labels(ner_tag)
                     ner_tags.append(ner_tag)
             # last example
             if tokens: