added baseline predictions

dcase23-task2-enriched.py

@@ -52,22 +52,22 @@ DATA_URLS = {
     "dev": {
         "train": "data/dev_train.tar.gz",
         "test": "data/dev_test.tar.gz",
-        "metadata": "data/dev_metadata.csv",
+        "metadata": "data/dev_metadata_extended.csv",
     },
     "add":  {
         "train": "data/add_train.tar.gz",
         "test": "data/add_test.tar.gz",
-        "metadata": "data/add_metadata.csv",
+        "metadata": "data/add_metadata_extended.csv",
     },
     "eval": {
         "test": "data/eval_test.tar.gz",
-        "metadata": "data/eval_metadata.csv",
+        "metadata": "data/eval_metadata_extended.csv",
     },
 }
 
 EMBEDDING_URLS = {
     "dev": {
-        "ast-finetuned-audioset-10-10-0.4593-embeddings": {
+        "embeddings_ast-finetuned-audioset-10-10-0.4593": {
             "train": "data/MIT_ast-finetuned-audioset-10-10-0-4593-embeddings_dev_train.npz",
             "test": "data/MIT_ast-finetuned-audioset-10-10-0-4593-embeddings_dev_test.npz",
             "size": (1, 768),
@@ -75,13 +75,13 @@ EMBEDDING_URLS = {
         },
     },
     "add":  {
-        "ast-finetuned-audioset-10-10-0.4593-embeddings": {
+        "embeddings_ast-finetuned-audioset-10-10-0.4593": {
             "train": "",
             "test": "",
         },
     },
     "eval": {
-        "ast-finetuned-audioset-10-10-0.4593-embeddings": {
+        "embeddings_ast-finetuned-audioset-10-10-0.4593": {
             "train": "",
             "test": "",
         },
@@ -354,7 +354,7 @@ class DCASE2023Task2Dataset(datasets.GeneratorBasedBuilder):
         features = {
                     "audio": datasets.Audio(sampling_rate=16_000),
                     "path": datasets.Value("string"),
-                    "section": datasets.Value("uint32"),
+                    "section": datasets.Value("int64"),
                     "domain": datasets.ClassLabel(num_classes=2, names=["source", "target"]),
                     "label": datasets.ClassLabel(num_classes=_NUM_TARGETS, names=_TARGET_NAMES),
                     "class": datasets.ClassLabel(num_classes=_NUM_CLASSES, names=_CLASS_NAMES),
@@ -364,6 +364,9 @@ class DCASE2023Task2Dataset(datasets.GeneratorBasedBuilder):
                     "d2v": datasets.Value("string"),
                     "d3p": datasets.Value("string"),
                     "d3v": datasets.Value("string"),
+                    "anomaly_score_dcase2023_task2_baseline_ae": datasets.Value("float32"),
+                    "prediction_dcase2023_task2_baseline_ae": datasets.Value("int64"),
+                    "prediction_correct_dcase2023_task2_baseline_ae": datasets.Value("int64"),
                 }
         if self.config.embeddings_urls is not None:
             features.update({