Update README.md

README.md

@@ -23,16 +23,16 @@ dataset_info:
           '9': rock
   splits:
   - name: train
-    num_bytes: 586664927.0
+    num_bytes: 586664927
     num_examples: 443
   - name: validation
-    num_bytes: 260793810.0
+    num_bytes: 260793810
     num_examples: 197
   - name: test
-    num_bytes: 383984112.0
+    num_bytes: 383984112
     num_examples: 290
   download_size: 1230811404
-  dataset_size: 1231442849.0
+  dataset_size: 1231442849
 configs:
 - config_name: default
   data_files:
@@ -42,4 +42,57 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+task_categories:
+- audio-classification
+tags:
+- audio
+- multiclass
+- music
 ---
+
+# GTZAN Music Genre Classification
+
+GTZAN consists of 100 30-second recording excerpts in each of 10 categories, and is the most-used public dataset in music information retrieval (MIR) research.
+Following Kereliuk et al. (2015), we use the "fault-filtered" partitioning version of GTZAN, which is constructed by hand to include 443/197/290 excerpts. 
+This version of database could be found and downloaded from [here](https://www.kaggle.com/datasets/carlthome/gtzan-genre-collection).
+
+## Citations
+
+```bibtex
+@article{kereliuk2015deep,
+  title={Deep learning and music adversaries},
+  author={Kereliuk, Corey and Sturm, Bob L and Larsen, Jan},
+  journal={IEEE Transactions on Multimedia},
+  volume={17},
+  number={11},
+  pages={2059--2071},
+  year={2015},
+  publisher={IEEE}
+}
+```
+
+```bibtex
+@article{sturm2014state,
+  title={The state of the art ten years after a state of the art: Future research in music information retrieval},
+  author={Sturm, Bob L},
+  journal={Journal of new music research},
+  volume={43},
+  number={2},
+  pages={147--172},
+  year={2014},
+  publisher={Taylor \& Francis}
+}
+```
+
+```bibtex
+@article{tzanetakis2002musical,
+  title={Musical genre classification of audio signals},
+  author={Tzanetakis, George and Cook, Perry},
+  journal={IEEE Transactions on speech and audio processing},
+  volume={10},
+  number={5},
+  pages={293--302},
+  year={2002},
+  publisher={IEEE}
+}
+```