all

jv_id_asr_split.py

@@ -99,26 +99,37 @@ class JvIdASR(datasets.GeneratorBasedBuilder):
     DEFAULT_CONFIG_NAME = "jv_id_asr_source"
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        # Check if dataset URL is from Google Drive
-        def get_dataset_path(url):
-            if "drive.google.com" in url and url.strip():
-                file_id = url.split("/d/")[-1].split("/")[0]
-                gdrive_url = f"https://drive.google.com/uc?id={file_id}"
-                return dl_manager.download_and_extract(gdrive_url)
-            return dl_manager.download_and_extract(url)
+        """Returns SplitGenerators."""
+        
+        # Modified download function for Google Drive
+        def download_and_extract_gdrive(url):
+            file_id = url.split("/d/")[-1].split("/")[0]
+            output_path = dl_manager.download_dir / f"{file_id}.zip"
+            
+            # Use gdown with fuzzy=True to handle the download confirmation
+            gdown.download(url, str(output_path), fuzzy=True)
+            
+            # Extract the downloaded file
+            extracted_path = dl_manager.extract(str(output_path))
+            return extracted_path
+
+        # Download and extract all splits
+        train_path = download_and_extract_gdrive(_URLs["jv_id_asr_train"])
+        dev_path = download_and_extract_gdrive(_URLs["jv_id_asr_dev"])
+        test_path = download_and_extract_gdrive(_URLs["jv_id_asr_test"])
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": get_dataset_path(_URLs["jv_id_asr_train"])},
+                gen_kwargs={"filepath": train_path},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": get_dataset_path(_URLs["jv_id_asr_dev"])},
+                gen_kwargs={"filepath": dev_path},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"filepath": get_dataset_path(_URLs["jv_id_asr_test"])},
+                gen_kwargs={"filepath": test_path},
             ),
         ]
     

requirements.txt

@@ -1 +1,2 @@
 seacrowd>=0.2.0
+gdown