init

experiments/model_predict_ner.py

@@ -75,11 +75,7 @@ class NER:
     def get_prediction(self, export_dir: str, batch_size: int):
         os.makedirs(export_dir, exist_ok=True)
         for test_split in ["test_1", "test_2", "test_3", "test_4"]:
-            data = self.tokenized_datasets[test_split]
-
-            # TODO: check the data format and fix the predict function accordingly
-            data = self.dataset[test_split]
-            predictions = self.predict(data["text"], batch_size)
+            predictions = self.predict(self.tokenized_datasets[test_split], batch_size)
             with open(f"{export_dir}/{test_split}.jsonl", "w") as f:
                 f.write("\n".join([json.dumps(i) for i in predictions]))