adding GTZAN Genre dataset

mteb/abstasks/TaskMetadata.py

@@ -58,6 +58,7 @@
     "Environment Sound Classification",
     "Gunshot Audio Classification",
     "Instrument Source Classification",
+    "Music Genre Classification",
     "Gender Clustering",
     "Rendered semantic textual similarity",
 ]

mteb/tasks/Audio/AudioClassification/__init__.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
 from .eng.ESC50 import *
+from .eng.GTZANGenre import *
 from .eng.GunshotTriangulation import *
 from .eng.NSynth import *

mteb/tasks/Audio/AudioClassification/eng/GTZANGenre.py

@@ -0,0 +1,49 @@
+from __future__ import annotations
+
+from mteb.abstasks.Audio.AbsTaskAudioClassification import (
+    AbsTaskAudioClassification,
+)
+from mteb.abstasks.TaskMetadata import TaskMetadata
+
+
+class GTZANGenre(AbsTaskAudioClassification):
+    metadata = TaskMetadata(
+        name="GTZANGenre",
+        description="Music Genre Classification (10 classes)",
+        reference="https://huggingface.co/datasets/silky1708/GTZAN-Genre",
+        dataset={
+            "path": "silky1708/GTZAN-Genre",
+            "revision": "5efdda59d0d185bfe17ada9b54d233349d0e0168",
+        },
+        type="AudioClassification",
+        category="a2t",
+        eval_splits=["train"],
+        eval_langs=["eng-Latn"],
+        main_score="accuracy",
+        date=("2000-01-01", "2001-12-31"),
+        domains=["Music"],
+        task_subtypes=["Music Genre Classification"],
+        license="not specified",
+        annotations_creators="human-annotated",
+        dialect=[],
+        modalities=["audio"],
+        sample_creation="found",
+        bibtex_citation="""@ARTICLE{1021072,
+            author={Tzanetakis, G. and Cook, P.},
+            journal={IEEE Transactions on Speech and Audio Processing}, 
+            title={Musical genre classification of audio signals}, 
+            year={2002},
+            volume={10},
+            number={5},
+            pages={293-302},
+            keywords={Humans;Music information retrieval;Instruments;Computer science;Multiple signal classification;Signal analysis;Pattern recognition;Feature extraction;Wavelet analysis;Cultural differences},
+            doi={10.1109/TSA.2002.800560}}""",
+        descriptive_stats={
+            "n_samples": {"train": 1000},
+        },
+    )
+
+    audio_column_name: str = "audio"
+    label_column_name: str = "label"
+    samples_per_label: int = 10
+    is_cross_validation: bool = True