overwrite dataset file

dcase23-task2-enriched.py

@@ -207,6 +207,7 @@ class DCASE2023Task2Dataset(datasets.GeneratorBasedBuilder):
             dataset=DATASET[key],
             homepage=_HOMEPAGE[key],
             data_urls=DATA_URLS[key],
+            embeddings_urls=EMBEDDING_URLS[key],
             release_date=stats["date"],
             splits=stats["splits"],
             layout=_SPOTLIGHT_LAYOUT,
@@ -230,9 +231,10 @@ class DCASE2023Task2Dataset(datasets.GeneratorBasedBuilder):
                     "label": datasets.ClassLabel(num_classes=_NUM_TARGETS, names=_TARGET_NAMES),
                     "class": datasets.ClassLabel(num_classes=_NUM_CLASSES, names=_CLASS_NAMES),
                 }
-        features.update({
-            emb_name: datasets.Array2D(shape=emb["size"], dtype=emb["dtype"]) for emb_name, emb in self.config.embeddings_urls.items()
-        })
+        if self.config.embeddings_urls is not None:
+            features.update({
+                emb_name: datasets.Array2D(shape=emb["size"], dtype=emb["dtype"]) for emb_name, emb in self.config.embeddings_urls.items()
+            })
         features = datasets.Features(features)
 
         return datasets.DatasetInfo(
@@ -261,8 +263,9 @@ class DCASE2023Task2Dataset(datasets.GeneratorBasedBuilder):
                 audio_path[split] = dl_manager.download(self.config.data_urls[split])
                 local_extracted_archive[split] = dl_manager.extract(
                     audio_path[split]) if not dl_manager.is_streaming else None
-                for emb_name, emb_data in self.config.embeddings_urls.items():
-                    embeddings[split][emb_name] = np.load(dl_manager.download_and_extract(emb_data[split]) + "/arr_0.npy", allow_pickle=True).item()
+                if self.config.embeddings_urls is not None:
+                    for emb_name, emb_data in self.config.embeddings_urls.items():
+                        embeddings[split][emb_name] = np.load(dl_manager.download_and_extract(emb_data[split]) + "/arr_0.npy", allow_pickle=True).item()
 
         return [
             datasets.SplitGenerator(
@@ -306,3 +309,4 @@ class DCASE2023Task2Dataset(datasets.GeneratorBasedBuilder):
 
 if __name__ == "__main__":
     ds = load_dataset("dcase23-task2-enriched.py", "dev", split="train", streaming=True)
+