debug

README.md

@@ -8,6 +8,16 @@ language:
 - nn
 size_categories:
 - 100K<n<1M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "train.jsonl"
+  - split: dev
+    path: "dev.jsonl"
+  - split: test
+    path: "test.jsonl"
+
 ---
 # Dataset Card for Bokmål-Nynorsk Language Detection (main_train_split)
 
@@ -30,4 +40,4 @@ This dataset is intended for language detection for Bokmål to Nynorsk and vice
 
 ## Usage
 
-Intended for training Bokmål-Nynorsk detection models. For more details, refer to the repository where the dataset preparation script and the actual dataset reside.
+Intended for training Bokmål-Nynorsk detection models. For more details, refer to the repository where the dataset preparation script and the actual dataset reside.

nbnn_language_detection.py

@@ -1,46 +0,0 @@
-from datasets import DatasetBuilder, DatasetInfo, SplitGenerator
-from datasets.features import Features, Value
-import json
-
-class NbnnLanguageDetection(DatasetBuilder):
-
-    VERSION = "0.1.0"
-
-    def _info(self):
-        print("DEBUG: Inside _info method")
-        return DatasetInfo(
-            features=Features({
-                'text': Value('string'),
-                'language': Value('string'),
-            }),
-            supervised_keys=('text', 'language')
-        )
-
-    def _split_generators(self, dl_manager):
-        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',
-            'test': 'https://huggingface.co/datasets/NbAiLab/nbnn_language_detection/resolve/main/test.jsonl',
-        }
-
-        downloaded_files = dl_manager.download(urls)
-        print(f"DEBUG: Downloaded files: {downloaded_files}")
-
-        return [
-            SplitGenerator(name=split, gen_kwargs={'filepath': downloaded_files[split]})
-            for split in urls.keys()
-        ]
-
-    def _generate_examples(self, 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']
-                }
-