dataloader

nbnn_language_detection.py

@@ -7,6 +7,7 @@ class MyDataset(DatasetBuilder):
     VERSION = "0.1.0"
 
     def _info(self):
+        print("Calling _info")
         return DatasetInfo(
             features=Features({
                 'text': Value('string'),
@@ -16,13 +17,15 @@ class MyDataset(DatasetBuilder):
         )
 
     def _split_generators(self, dl_manager):
+        print("Calling _split_generators")
         urls = {
             'train': 'https://huggingface.co/datasets/NbAiLab/nbnn_language_detection/resolve/main/train.jsonl',
             'dev': 'https://huggingface.co/datasets/NbAiLab/nbnn_language_detection/resolve/main/dev.jsonl',
             'test': 'https://huggingface.co/datasets/NbAiLab/nbnn_language_detection/resolve/main/test.jsonl',
         }
-        
+
         downloaded_files = dl_manager.download(urls)
+        print(f"Downloaded files: {downloaded_files}")
 
         return [
             SplitGenerator(name=split, gen_kwargs={'filepath': downloaded_files[split]})
@@ -30,6 +33,7 @@ class MyDataset(DatasetBuilder):
         ]
 
     def _generate_examples(self, filepath):
+        print(f"Calling _generate_examples with filepath: {filepath}")
         with open(filepath, 'r') as f:
             for id, line in enumerate(f):
                 data = json.loads(line)