add id_ when generating

.gitignore

@@ -0,0 +1 @@
+__pycache__/

yago45en.py

@@ -12,8 +12,6 @@ YAGO = Namespace('http://yago-knowledge.org/resource/')
 class YAGO45DatasetBuilder(GeneratorBasedBuilder):
     VERSION = "1.0.0"
 
-    taxonomy = Graph(bind_namespaces="core")
-    
     def _info(self):
         return DatasetInfo(
             description="A subset of the YAGO 4.5 dataset maintaining only English labels",
@@ -36,31 +34,24 @@ class YAGO45DatasetBuilder(GeneratorBasedBuilder):
 
         facts = os.path.join(facts, "tmp/yago/")
 
-        # Load yago-taxonomy.ttl file in every process
-        self.taxonomy.parse(taxonomy)
-        
-        # Extract prefix mappings 
-        prefix_mappings = {prefix: namespace for prefix, namespace in self.taxonomy.namespaces()}
-        
-        # Define splits for each chunk
+        # Define splits for each chunk of your dataset.
         chunk_paths = [os.path.join(facts, chunk) for chunk in os.listdir(facts) if chunk.endswith('.nt')]
         return [SplitGenerator(name=datasets.Split.TRAIN, 
-                               gen_kwargs={'chunk_paths': chunk_paths, 
-                                           'prefix_mappings': prefix_mappings})]
+                               gen_kwargs={'chunk_paths': chunk_paths})]
     
-    def _generate_examples(self, chunk_paths, prefix_mappings):
+    def _generate_examples(self, chunk_paths):
         # Load the chunks into an rdflib graph
         # Yield individual triples from the graph
+        id_ = 0
         for chunk_path in chunk_paths:
             graph = Graph(bind_namespaces="core")
-            for prefix, namespace in prefix_mappings.items():
-                graph.bind(prefix, namespace)
-            graph.parse(chunk_path, format='nt')
+            graph.parse(chunk_path)
             
-            # Yield individual triples from the graph
-            for i, (s, p, o) in enumerate(graph):
-                yield i, {
-                    'subject': str(s),
-                    'predicate': str(p),
-                    'object': str(o)
+            # Yield individual triples from the graph as N3
+            for (s, p, o) in graph.triples((None, None, None)):
+                yield id_, {
+                    'subject': s.n3(),
+                    'predicate': p.n3(),
+                    'object': o.n3()
                 }
+                id_ += 1