update

GTZAN_genre_classification.py

@@ -1,7 +1,6 @@
 import os
 import csv
 import datasets
-import librosa
 
 logger = datasets.logging.get_logger(__name__)
 
@@ -46,7 +45,6 @@ class GTZAN(datasets.GeneratorBasedBuilder):
                     "tempo": datasets.Value("float"),
                     "keys": datasets.Value("string"),
                     "loudness": datasets.Value("float"),
-                    "embeddings": datasets.Value("string"),
                     "sorted_pred_genres": datasets.Value("string"),
                     "x_tsne": datasets.Value("float"),
                     "y_tsne": datasets.Value("float"),
@@ -57,10 +55,9 @@ class GTZAN(datasets.GeneratorBasedBuilder):
                     "album_cover_path": datasets.Value("string"),
                     "key": datasets.Value("string"),
                     "filepath": datasets.Value("string"),
-                    "audio": datasets.Audio(sampling_rate=44100),
                 }
             ),
-            supervised_keys=("audio", "genre"),
+            supervised_keys=("genre", "title"),
             homepage=_HOMEPAGE_URL,
             citation=_CITATION,
         )
@@ -96,13 +93,6 @@ class GTZAN(datasets.GeneratorBasedBuilder):
                 if not os.path.exists(file_path):
                     logger.error(f"File not found: {file_path}")
 
-                # Use librosa to load the audio file
-                try:
-                    audio, sr = librosa.load(file_path, sr=44100)
-                except Exception as e:
-                    logger.error(f"Error loading audio file {file_path}: {e}")
-                    continue
-
                 yield id_, {
                     "id": int(row["id"]),
                     "genre": row["genre"],
@@ -111,7 +101,6 @@ class GTZAN(datasets.GeneratorBasedBuilder):
                     "tempo": float(row["tempo"]),
                     "keys": row["keys"],
                     "loudness": float(row["loudness"]),
-                    "embeddings": row["embeddings"],
                     "sorted_pred_genres": row["sorted_pred_genres"],
                     "x_tsne": float(row["x_tsne"]),
                     "y_tsne": float(row["y_tsne"]),
@@ -122,8 +111,4 @@ class GTZAN(datasets.GeneratorBasedBuilder):
                     "album_cover_path": album_cover_path,
                     "key": row["key"],
                     "filepath": file_path,
-                    "audio": {
-                        "array": audio,
-                        "sampling_rate": sr,
-                    },
                 }