Update E3C.py

E3C.py

@@ -36,6 +36,39 @@ _URL = "https://github.com/hltfbk/E3C-Corpus/archive/refs/tags/v2.0.0.zip"
 
 _LANGUAGES = ["English","Spanish","Basque","French","Italian"]
 
+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"))
+
 class E3C(datasets.GeneratorBasedBuilder):
 
     BUILDER_CONFIGS = [
@@ -68,6 +101,11 @@ class E3C(datasets.GeneratorBasedBuilder):
                         names=names,
                     ),
                 ),
+                "is_oov": datasets.Sequence(
+                    datasets.features.ClassLabel(
+                        names=['is_not_oov', 'is_oov'],
+                    ),
+                ),
             }
         )
         
@@ -249,6 +287,7 @@ class E3C(datasets.GeneratorBasedBuilder):
                     "text": sentence[-1],
                     "tokens": list(map(lambda token: token[2], filtered_tokens)),
                     "ner_tags": _labels,
+                    "is_oov": [_VOCAB.find(tt.lower()) for tt in list(map(lambda token: token[2], filtered_tokens))],
                 })
                 
                 key += 1