debug

nbnn_language_detection.py

@@ -7,7 +7,7 @@ class NbnnLanguageDetection(DatasetBuilder):
     VERSION = "0.1.0"
 
     def _info(self):
-        print("Calling _info")
+        print("DEBUG: Inside _info method")
         return DatasetInfo(
             features=Features({
                 'text': Value('string'),
@@ -17,7 +17,7 @@ class NbnnLanguageDetection(DatasetBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        print("Calling _split_generators")
+        print("DEBUG: Inside _split_generators method")
         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',
@@ -25,7 +25,7 @@ class NbnnLanguageDetection(DatasetBuilder):
         }
 
         downloaded_files = dl_manager.download(urls)
-        print(f"Downloaded files: {downloaded_files}")
+        print(f"DEBUG: Downloaded files: {downloaded_files}")
 
         return [
             SplitGenerator(name=split, gen_kwargs={'filepath': downloaded_files[split]})
@@ -33,12 +33,18 @@ class NbnnLanguageDetection(DatasetBuilder):
         ]
 
     def _generate_examples(self, filepath):
-        print(f"Calling _generate_examples with filepath: {filepath}")
+        print(f"DEBUG: Inside _generate_examples method with filepath: {filepath}")
         with open(filepath, 'r') as f:
             for id, line in enumerate(f):
+                print(f"DEBUG: Processing line {id}")
                 data = json.loads(line)
+                print(f"DEBUG: Yielding id: {id}, text: {data['text']}, language: {data['language']}")
                 yield id, {
                     'text': data['text'],
                     'language': data['language']
                 }
 
+    def _prepare_split(self, *args, **kwargs):
+        print("DEBUG: Inside _prepare_split method, which should not be called directly.")
+        super()._prepare_split(*args, **kwargs)
+