Update MANTRAGSC.py

MANTRAGSC.py

@@ -85,6 +85,39 @@ _DATASET_TYPES = {
 	"patents": "Patent",
 }
 
+class StringIndex:
+
+    def __init__(self, vocab):
+
+        self.vocab_struct = {}
+
+        print("Start building the index!")
+        for t in vocab:
+
+            if len(t) == 0:
+                continue
+
+            # Index terms by their first letter and length
+            key = (t[0], len(t))
+
+            if (key in self.vocab_struct) == False:
+                self.vocab_struct[key] = []
+            
+            self.vocab_struct[key].append(t)
+
+        print("Finished building the index!")
+
+    def find(self, t):
+        
+        key = (t[0], len(t))
+        
+        if (key in self.vocab_struct) == False:
+            return "is_oov"
+        
+        return "is_not_oov" if t in self.vocab_struct[key] else "is_oov"
+
+_VOCAB = StringIndex(vocab=open("./vocabulary_nachos_lowercased.txt","r").read().split("\n"))
+
 @dataclass
 class DrBenchmarkConfig(datasets.BuilderConfig):
 	name: str = None
@@ -134,6 +167,11 @@ class MANTRAGSC(datasets.GeneratorBasedBuilder):
 						names = names,
 					)
 				),
+                "is_oov": datasets.Sequence(
+                    datasets.features.ClassLabel(
+                        names=['is_not_oov', 'is_oov'],
+                    ),
+                ),
 			}
 		)
 
@@ -258,6 +296,7 @@ class MANTRAGSC(datasets.GeneratorBasedBuilder):
 					"id": u["@id"],
 					"tokens": [t["token"] for t in tokens],
 					"ner_tags": [n[0] for n in ner_tags],
+					"is_oov": [_VOCAB.find(t["token"].lower()) for t in tokens],
 				}
 
 				all_res.append(obj)