Upload epadb.py with huggingface_hub

epadb.py

@@ -1,4 +1,5 @@
 import json
+import os
 import datasets
 
 _CITATION = """\
@@ -44,24 +45,46 @@ class Epadb(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
+        # First, download the JSON files
         train_path = dl_manager.download("train.json")
         test_path = dl_manager.download("test.json")
         
+        # Read JSON to get list of all audio files
+        with open(train_path) as f:
+            train_data = json.load(f)
+        with open(test_path) as f:
+            test_data = json.load(f)
+        
+        # Collect all unique audio files referenced
+        train_audio_files = [example["audio"] for example in train_data]
+        test_audio_files = [example["audio"] for example in test_data]
+        
+        # Download all audio files
+        train_audio_paths = dl_manager.download(train_audio_files)
+        test_audio_paths = dl_manager.download(test_audio_files)
+        
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": train_path, "split": "train"},
+                gen_kwargs={
+                    "filepath": train_path,
+                    "audio_files": dict(zip(train_audio_files, train_audio_paths))
+                },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"filepath": test_path, "split": "test"},
+                gen_kwargs={
+                    "filepath": test_path,
+                    "audio_files": dict(zip(test_audio_files, test_audio_paths))
+                },
             ),
         ]
 
-    def _generate_examples(self, filepath, split):
+    def _generate_examples(self, filepath, audio_files):
         with open(filepath, encoding="utf-8") as f:
             data = json.load(f)
             for idx, example in enumerate(data):
-                # The audio field contains the relative path
-                # datasets library will automatically download it
+                # Replace the audio path with the downloaded local path
+                audio_path = example["audio"]
+                example["audio"] = audio_files[audio_path]
                 yield idx, example