Update NCR.py

NCR.py

@@ -97,20 +97,20 @@ class NCR(datasets.GeneratorBasedBuilder):
         ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, train_test_or_eval, files):
-        """Yields examples."""
-        for file_idx, (path, f) in enumerate(files):
-            if path.startswith(train_test_or_eval) and path.endswith(".txt"):
-                data = json.loads(f.read().decode("utf-8"))
-                questions = data["Questions"]
-                for i in range(len(questions)):
-                    question = questions[i]
-
-                    yield f"{file_idx}_{i}", {
-                        "example_id": data["Id"],
-                        "article": data["Content"],
-                        "question": question["Question"],
-                        "answer": question["Answer"],
-                        "options": question["Choices"],
-                    }
-
+    def _generate_examples(self, filepath, split):
+        def normalize(text):
+            return text.replace(".", ". ").strip()
+
+        with open(filepath, encoding="utf-8") as f:
+            data = json.loads(f.read().decode("utf-8"))
+            questions = data["Questions"]
+            for i in range(len(questions)):
+                question = questions[i]
+
+                yield f"{i}", {
+                    "example_id": data["Id"],
+                    "article": data["Content"],
+                    "question": question["Question"],
+                    "answer": question["Answer"],
+                    "options": question["Choices"],
+                }